Model 10 EfficientNetV2B0.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 20062,
     "status": "ok",
     "timestamp": 1676960204155,
     "user": {
      "displayName": "Trang Phạm",
      "userId": "09872832977707306821"
     },
     "user_tz": -420
    },
    "id": "qzPWNwpIpe2C",
    "outputId": "a254c596-474b-49d7-bf37-c40e3db8b375"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mounted at /content/drive\n"
     ]
    }
   ],
   "source": [
    "from google.colab import drive\n",
    "drive.mount('/content/drive')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "executionInfo": {
     "elapsed": 1372,
     "status": "ok",
     "timestamp": 1676961807194,
     "user": {
      "displayName": "Trang Phạm",
      "userId": "09872832977707306821"
     },
     "user_tz": -420
    },
    "id": "l3Mi4rbxczEK"
   },
   "outputs": [],
   "source": [
    "import numpy as np # linear algebra\n",
    "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n",
    "import os\n",
    "import cv2\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "0CTZ2lN6ett3"
   },
   "outputs": [],
   "source": [
    "!pip install unrar\n",
    "%cd /content/drive/MyDrive/dataincrease\n",
    "!unrar x /content/drive/MyDrive/dataincrease/images.rar "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 289,
     "status": "ok",
     "timestamp": 1676961814842,
     "user": {
      "displayName": "Trang Phạm",
      "userId": "09872832977707306821"
     },
     "user_tz": -420
    },
    "id": "rIDfNzEAeaCC",
    "outputId": "6f2ee3ea-3719-4b4b-a031-f5360748de7b"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['images.rar', 'styles.csv', 'Resnet101_increase.h5', 'VGG19_increase.h5', 'images']\n"
     ]
    }
   ],
   "source": [
    "DATASET_PATH = \"/content/drive/MyDrive/dataincrease/\"\n",
    "print(os.listdir(DATASET_PATH))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 3522,
     "status": "ok",
     "timestamp": 1676961812109,
     "user": {
      "displayName": "Trang Phạm",
      "userId": "09872832977707306821"
     },
     "user_tz": -420
    },
    "id": "T_fnb55FedcQ",
    "outputId": "29c10254-d959-44bf-d90c-d1527544be2c"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "79596\n"
     ]
    }
   ],
   "source": [
    "data_path = \"/content/drive/MyDrive/dataincrease/images/\"\n",
    "print(len(os.listdir(data_path)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 606
    },
    "execution": {
     "iopub.execute_input": "2020-11-14T19:37:55.683578Z",
     "iopub.status.busy": "2020-11-14T19:37:55.682899Z",
     "iopub.status.idle": "2020-11-14T19:38:00.393150Z",
     "shell.execute_reply": "2020-11-14T19:38:00.393687Z"
    },
    "executionInfo": {
     "elapsed": 3656,
     "status": "ok",
     "timestamp": 1676862510857,
     "user": {
      "displayName": "Trang Phạm",
      "userId": "07787501693977986905"
     },
     "user_tz": -420
    },
    "id": "n0pvaEBYvXvr",
    "outputId": "37226d4c-6ea3-4920-e31a-9c971472164c",
    "papermill": {
     "duration": 4.818566,
     "end_time": "2020-11-14T19:38:00.393849",
     "exception": false,
     "start_time": "2020-11-14T19:37:55.575283",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['images.rar', 'styles.csv', 'images']\n",
      "10000.jpg\n",
      "10001.jpg\n",
      "10002.jpg\n",
      "10003.jpg\n",
      "10004.jpg\n",
      "10005.jpg\n",
      "10006.jpg\n",
      "10007.jpg\n",
      "10008.jpg\n",
      "10009.jpg\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 10 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# what is inside the main directory\n",
    "list_directory = os.listdir(DATASET_PATH)\n",
    "print(list_directory)\n",
    "\n",
    "# each time directory files gets reordered. That's why needed to find where images folder is.\n",
    "index=0\n",
    "for i in range (len(list_directory)):\n",
    "    if list_directory[i]==\"images\":\n",
    "        index=i\n",
    "        break\n",
    "\n",
    "# what is in the image directory\n",
    "imageIndex = os.listdir(DATASET_PATH+list_directory[index])\n",
    "# print(type(imageIndex))\n",
    "head = 10\n",
    "\n",
    "# collecting some samples in list\n",
    "sampleImages = []\n",
    "\n",
    "# showing indices\n",
    "for i in range (head):\n",
    "    sampleImages.append(imageIndex[i])\n",
    "    print(sampleImages[i])\n",
    "\n",
    "# choosing some samples to observe\n",
    "fig=plt.figure()\n",
    "fig.set_figheight(15)\n",
    "fig.set_figwidth(15)\n",
    "axis=[]\n",
    "row = len(sampleImages)/2\n",
    "col = row+1\n",
    "\n",
    "for i in range (len(sampleImages)):\n",
    "    Image_path=DATASET_PATH+list_directory[index]+\"/\"+sampleImages[i]\n",
    "    src = cv2.imread(Image_path)\n",
    "    image = cv2.cvtColor(src, cv2.COLOR_BGR2RGB) \n",
    "    axis.append(fig.add_subplot(row, col, i+1))\n",
    "    subplot_title=sampleImages[i]\n",
    "    axis[-1].set_title(subplot_title)  \n",
    "    plt.imshow(image)\n",
    "\n",
    "fig.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 456
    },
    "executionInfo": {
     "elapsed": 8,
     "status": "ok",
     "timestamp": 1676961818847,
     "user": {
      "displayName": "Trang Phạm",
      "userId": "09872832977707306821"
     },
     "user_tz": -420
    },
    "id": "IpYo5Y9zefhA",
    "outputId": "01668fb8-58a3-4a32-841b-36179f72f18e"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.8/dist-packages/IPython/core/interactiveshell.py:3326: FutureWarning: The error_bad_lines argument has been deprecated and will be removed in a future version.\n",
      "\n",
      "\n",
      "  exec(code_obj, self.user_global_ns, self.user_ns)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "  <div id=\"df-6a289764-4913-413b-842a-6f73a78b5d3b\">\n",
       "    <div class=\"colab-df-container\">\n",
       "      <div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>masterCategory</th>\n",
       "      <th>image</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>15970</td>\n",
       "      <td>Apparel</td>\n",
       "      <td>15970.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>39386</td>\n",
       "      <td>Apparel</td>\n",
       "      <td>39386.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>59263</td>\n",
       "      <td>Accessories</td>\n",
       "      <td>59263.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>21379</td>\n",
       "      <td>Apparel</td>\n",
       "      <td>21379.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>53759</td>\n",
       "      <td>Apparel</td>\n",
       "      <td>53759.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1855</td>\n",
       "      <td>Apparel</td>\n",
       "      <td>1855.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>30805</td>\n",
       "      <td>Apparel</td>\n",
       "      <td>30805.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>26960</td>\n",
       "      <td>Apparel</td>\n",
       "      <td>26960.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>29114</td>\n",
       "      <td>Accessories</td>\n",
       "      <td>29114.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>30039</td>\n",
       "      <td>Accessories</td>\n",
       "      <td>30039.jpg</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-6a289764-4913-413b-842a-6f73a78b5d3b')\"\n",
       "              title=\"Convert this dataframe to an interactive table.\"\n",
       "              style=\"display:none;\">\n",
       "        \n",
       "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
       "       width=\"24px\">\n",
       "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
       "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
       "  </svg>\n",
       "      </button>\n",
       "      \n",
       "  <style>\n",
       "    .colab-df-container {\n",
       "      display:flex;\n",
       "      flex-wrap:wrap;\n",
       "      gap: 12px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert {\n",
       "      background-color: #E8F0FE;\n",
       "      border: none;\n",
       "      border-radius: 50%;\n",
       "      cursor: pointer;\n",
       "      display: none;\n",
       "      fill: #1967D2;\n",
       "      height: 32px;\n",
       "      padding: 0 0 0 0;\n",
       "      width: 32px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert:hover {\n",
       "      background-color: #E2EBFA;\n",
       "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
       "      fill: #174EA6;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert {\n",
       "      background-color: #3B4455;\n",
       "      fill: #D2E3FC;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert:hover {\n",
       "      background-color: #434B5C;\n",
       "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
       "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
       "      fill: #FFFFFF;\n",
       "    }\n",
       "  </style>\n",
       "\n",
       "      <script>\n",
       "        const buttonEl =\n",
       "          document.querySelector('#df-6a289764-4913-413b-842a-6f73a78b5d3b button.colab-df-convert');\n",
       "        buttonEl.style.display =\n",
       "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
       "\n",
       "        async function convertToInteractive(key) {\n",
       "          const element = document.querySelector('#df-6a289764-4913-413b-842a-6f73a78b5d3b');\n",
       "          const dataTable =\n",
       "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
       "                                                     [key], {});\n",
       "          if (!dataTable) return;\n",
       "\n",
       "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
       "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
       "            + ' to learn more about interactive tables.';\n",
       "          element.innerHTML = '';\n",
       "          dataTable['output_type'] = 'display_data';\n",
       "          await google.colab.output.renderOutput(dataTable, element);\n",
       "          const docLink = document.createElement('div');\n",
       "          docLink.innerHTML = docLinkHtml;\n",
       "          element.appendChild(docLink);\n",
       "        }\n",
       "      </script>\n",
       "    </div>\n",
       "  </div>\n",
       "  "
      ],
      "text/plain": [
       "      id masterCategory      image\n",
       "0  15970        Apparel  15970.jpg\n",
       "1  39386        Apparel  39386.jpg\n",
       "2  59263    Accessories  59263.jpg\n",
       "3  21379        Apparel  21379.jpg\n",
       "4  53759        Apparel  53759.jpg\n",
       "5   1855        Apparel   1855.jpg\n",
       "6  30805        Apparel  30805.jpg\n",
       "7  26960        Apparel  26960.jpg\n",
       "8  29114    Accessories  29114.jpg\n",
       "9  30039    Accessories  30039.jpg"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(DATASET_PATH + \"styles.csv\", nrows=100000, error_bad_lines=False)\n",
    "df.drop(df.columns[0], axis=1, inplace=True)\n",
    "df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 423
    },
    "executionInfo": {
     "elapsed": 975,
     "status": "ok",
     "timestamp": 1676862611328,
     "user": {
      "displayName": "Trang Phạm",
      "userId": "07787501693977986905"
     },
     "user_tz": -420
    },
    "id": "oV4yHfG2zIPm",
    "outputId": "7d78cd38-b67e-470e-cb9c-2b21254b8548"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8,6))\n",
    "df['masterCategory'].value_counts().plot(kind='bar',x='type',y='filename')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 23223,
     "status": "ok",
     "timestamp": 1676961847200,
     "user": {
      "displayName": "Trang Phạm",
      "userId": "09872832977707306821"
     },
     "user_tz": -420
    },
    "id": "XJmkIVTTgIMI",
    "outputId": "e21b6f4c-b634-49fb-c296-e861c75bf60f"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 63677 validated image filenames belonging to 3 classes.\n",
      "Found 15919 validated image filenames belonging to 3 classes.\n"
     ]
    }
   ],
   "source": [
    "from keras.preprocessing.image import ImageDataGenerator\n",
    "\n",
    "#image generator object from keras. reference : Keras Docs\n",
    "image_generator = ImageDataGenerator(\n",
    "    validation_split=0.2, rescale=1/255, shear_range = 0.2, zoom_range = 0.2, horizontal_flip = True\n",
    ")\n",
    "\n",
    "#create a flow of images for training the model.\n",
    "training_generator = image_generator.flow_from_dataframe(\n",
    "    dataframe = df,\n",
    "    directory= \"/content/drive/MyDrive/dataincrease/images/\",\n",
    "    x_col=\"image\",\n",
    "    y_col=\"masterCategory\",\n",
    "    target_size=(224,224),\n",
    "    batch_size=32,\n",
    "    subset=\"training\"\n",
    "\n",
    ")\n",
    "\n",
    "#create a flow of images for validating(testing) the trained model.\n",
    "validation_generator = image_generator.flow_from_dataframe(\n",
    "    dataframe = df,\n",
    "    directory=\"/content/drive/MyDrive/dataincrease/images/\",\n",
    "    x_col=\"image\",\n",
    "    y_col=\"masterCategory\",\n",
    "    target_size=(224,224),\n",
    "    batch_size=32,\n",
    "    subset=\"validation\"\n",
    ")\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "executionInfo": {
     "elapsed": 258,
     "status": "ok",
     "timestamp": 1676961867536,
     "user": {
      "displayName": "Trang Phạm",
      "userId": "09872832977707306821"
     },
     "user_tz": -420
    },
    "id": "O8TTct3T5q-H"
   },
   "outputs": [],
   "source": [
    "import tensorflow as tf\n",
    "from tensorflow import keras\n",
    "from tensorflow.keras.applications import EfficientNetV2L\n",
    "from tensorflow.keras.layers import Input,Dense,Flatten,Dropout\n",
    "from tensorflow.keras.preprocessing.image import ImageDataGenerator,load_img\n",
    "from tensorflow.keras.models import Model\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "executionInfo": {
     "elapsed": 11308,
     "status": "ok",
     "timestamp": 1676961880934,
     "user": {
      "displayName": "Trang Phạm",
      "userId": "09872832977707306821"
     },
     "user_tz": -420
    },
    "id": "l_51nGy31oTO"
   },
   "outputs": [],
   "source": [
    "image_size=[224,224]\n",
    "model=EfficientNetV2L(input_shape=image_size+[3],include_top=False,weights=\"imagenet\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "executionInfo": {
     "elapsed": 1065,
     "status": "ok",
     "timestamp": 1676961894378,
     "user": {
      "displayName": "Trang Phạm",
      "userId": "09872832977707306821"
     },
     "user_tz": -420
    },
    "id": "5dn1MHW3ZCT6"
   },
   "outputs": [],
   "source": [
    "for layers in model.layers:\n",
    "  layers.trainable=False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "executionInfo": {
     "elapsed": 299,
     "status": "ok",
     "timestamp": 1676961896989,
     "user": {
      "displayName": "Trang Phạm",
      "userId": "09872832977707306821"
     },
     "user_tz": -420
    },
    "id": "rVK_dd93ZHu8"
   },
   "outputs": [],
   "source": [
    "from pandas.core.common import flatten\n",
    "model=Model(inputs=model.input,outputs=Dense(3,activation=\"softmax\")(Dropout(0.2)(Flatten()(model.output))))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 15443,
     "status": "ok",
     "timestamp": 1676961914491,
     "user": {
      "displayName": "Trang Phạm",
      "userId": "09872832977707306821"
     },
     "user_tz": -420
    },
    "id": "Ca2HfGJw2h-D",
    "outputId": "37ac330c-a255-4f1d-e302-d5856ebe9d50"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"model\"\n",
      "__________________________________________________________________________________________________\n",
      " Layer (type)                   Output Shape         Param #     Connected to                     \n",
      "==================================================================================================\n",
      " input_1 (InputLayer)           [(None, 224, 224, 3  0           []                               \n",
      "                                )]                                                                \n",
      "                                                                                                  \n",
      " rescaling (Rescaling)          (None, 224, 224, 3)  0           ['input_1[0][0]']                \n",
      "                                                                                                  \n",
      " stem_conv (Conv2D)             (None, 112, 112, 32  864         ['rescaling[0][0]']              \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " stem_bn (BatchNormalization)   (None, 112, 112, 32  128         ['stem_conv[0][0]']              \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " stem_activation (Activation)   (None, 112, 112, 32  0           ['stem_bn[0][0]']                \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " block1a_project_conv (Conv2D)  (None, 112, 112, 32  9216        ['stem_activation[0][0]']        \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " block1a_project_bn (BatchNorma  (None, 112, 112, 32  128        ['block1a_project_conv[0][0]']   \n",
      " lization)                      )                                                                 \n",
      "                                                                                                  \n",
      " block1a_project_activation (Ac  (None, 112, 112, 32  0          ['block1a_project_bn[0][0]']     \n",
      " tivation)                      )                                                                 \n",
      "                                                                                                  \n",
      " block1a_add (Add)              (None, 112, 112, 32  0           ['block1a_project_activation[0][0\n",
      "                                )                                ]',                              \n",
      "                                                                  'stem_activation[0][0]']        \n",
      "                                                                                                  \n",
      " block1b_project_conv (Conv2D)  (None, 112, 112, 32  9216        ['block1a_add[0][0]']            \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " block1b_project_bn (BatchNorma  (None, 112, 112, 32  128        ['block1b_project_conv[0][0]']   \n",
      " lization)                      )                                                                 \n",
      "                                                                                                  \n",
      " block1b_project_activation (Ac  (None, 112, 112, 32  0          ['block1b_project_bn[0][0]']     \n",
      " tivation)                      )                                                                 \n",
      "                                                                                                  \n",
      " block1b_drop (Dropout)         (None, 112, 112, 32  0           ['block1b_project_activation[0][0\n",
      "                                )                                ]']                              \n",
      "                                                                                                  \n",
      " block1b_add (Add)              (None, 112, 112, 32  0           ['block1b_drop[0][0]',           \n",
      "                                )                                 'block1a_add[0][0]']            \n",
      "                                                                                                  \n",
      " block1c_project_conv (Conv2D)  (None, 112, 112, 32  9216        ['block1b_add[0][0]']            \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " block1c_project_bn (BatchNorma  (None, 112, 112, 32  128        ['block1c_project_conv[0][0]']   \n",
      " lization)                      )                                                                 \n",
      "                                                                                                  \n",
      " block1c_project_activation (Ac  (None, 112, 112, 32  0          ['block1c_project_bn[0][0]']     \n",
      " tivation)                      )                                                                 \n",
      "                                                                                                  \n",
      " block1c_drop (Dropout)         (None, 112, 112, 32  0           ['block1c_project_activation[0][0\n",
      "                                )                                ]']                              \n",
      "                                                                                                  \n",
      " block1c_add (Add)              (None, 112, 112, 32  0           ['block1c_drop[0][0]',           \n",
      "                                )                                 'block1b_add[0][0]']            \n",
      "                                                                                                  \n",
      " block1d_project_conv (Conv2D)  (None, 112, 112, 32  9216        ['block1c_add[0][0]']            \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " block1d_project_bn (BatchNorma  (None, 112, 112, 32  128        ['block1d_project_conv[0][0]']   \n",
      " lization)                      )                                                                 \n",
      "                                                                                                  \n",
      " block1d_project_activation (Ac  (None, 112, 112, 32  0          ['block1d_project_bn[0][0]']     \n",
      " tivation)                      )                                                                 \n",
      "                                                                                                  \n",
      " block1d_drop (Dropout)         (None, 112, 112, 32  0           ['block1d_project_activation[0][0\n",
      "                                )                                ]']                              \n",
      "                                                                                                  \n",
      " block1d_add (Add)              (None, 112, 112, 32  0           ['block1d_drop[0][0]',           \n",
      "                                )                                 'block1c_add[0][0]']            \n",
      "                                                                                                  \n",
      " block2a_expand_conv (Conv2D)   (None, 56, 56, 128)  36864       ['block1d_add[0][0]']            \n",
      "                                                                                                  \n",
      " block2a_expand_bn (BatchNormal  (None, 56, 56, 128)  512        ['block2a_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block2a_expand_activation (Act  (None, 56, 56, 128)  0          ['block2a_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block2a_project_conv (Conv2D)  (None, 56, 56, 64)   8192        ['block2a_expand_activation[0][0]\n",
      "                                                                 ']                               \n",
      "                                                                                                  \n",
      " block2a_project_bn (BatchNorma  (None, 56, 56, 64)  256         ['block2a_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block2b_expand_conv (Conv2D)   (None, 56, 56, 256)  147456      ['block2a_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block2b_expand_bn (BatchNormal  (None, 56, 56, 256)  1024       ['block2b_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block2b_expand_activation (Act  (None, 56, 56, 256)  0          ['block2b_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block2b_project_conv (Conv2D)  (None, 56, 56, 64)   16384       ['block2b_expand_activation[0][0]\n",
      "                                                                 ']                               \n",
      "                                                                                                  \n",
      " block2b_project_bn (BatchNorma  (None, 56, 56, 64)  256         ['block2b_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block2b_drop (Dropout)         (None, 56, 56, 64)   0           ['block2b_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block2b_add (Add)              (None, 56, 56, 64)   0           ['block2b_drop[0][0]',           \n",
      "                                                                  'block2a_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block2c_expand_conv (Conv2D)   (None, 56, 56, 256)  147456      ['block2b_add[0][0]']            \n",
      "                                                                                                  \n",
      " block2c_expand_bn (BatchNormal  (None, 56, 56, 256)  1024       ['block2c_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block2c_expand_activation (Act  (None, 56, 56, 256)  0          ['block2c_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block2c_project_conv (Conv2D)  (None, 56, 56, 64)   16384       ['block2c_expand_activation[0][0]\n",
      "                                                                 ']                               \n",
      "                                                                                                  \n",
      " block2c_project_bn (BatchNorma  (None, 56, 56, 64)  256         ['block2c_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block2c_drop (Dropout)         (None, 56, 56, 64)   0           ['block2c_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block2c_add (Add)              (None, 56, 56, 64)   0           ['block2c_drop[0][0]',           \n",
      "                                                                  'block2b_add[0][0]']            \n",
      "                                                                                                  \n",
      " block2d_expand_conv (Conv2D)   (None, 56, 56, 256)  147456      ['block2c_add[0][0]']            \n",
      "                                                                                                  \n",
      " block2d_expand_bn (BatchNormal  (None, 56, 56, 256)  1024       ['block2d_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block2d_expand_activation (Act  (None, 56, 56, 256)  0          ['block2d_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block2d_project_conv (Conv2D)  (None, 56, 56, 64)   16384       ['block2d_expand_activation[0][0]\n",
      "                                                                 ']                               \n",
      "                                                                                                  \n",
      " block2d_project_bn (BatchNorma  (None, 56, 56, 64)  256         ['block2d_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block2d_drop (Dropout)         (None, 56, 56, 64)   0           ['block2d_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block2d_add (Add)              (None, 56, 56, 64)   0           ['block2d_drop[0][0]',           \n",
      "                                                                  'block2c_add[0][0]']            \n",
      "                                                                                                  \n",
      " block2e_expand_conv (Conv2D)   (None, 56, 56, 256)  147456      ['block2d_add[0][0]']            \n",
      "                                                                                                  \n",
      " block2e_expand_bn (BatchNormal  (None, 56, 56, 256)  1024       ['block2e_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block2e_expand_activation (Act  (None, 56, 56, 256)  0          ['block2e_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block2e_project_conv (Conv2D)  (None, 56, 56, 64)   16384       ['block2e_expand_activation[0][0]\n",
      "                                                                 ']                               \n",
      "                                                                                                  \n",
      " block2e_project_bn (BatchNorma  (None, 56, 56, 64)  256         ['block2e_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block2e_drop (Dropout)         (None, 56, 56, 64)   0           ['block2e_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block2e_add (Add)              (None, 56, 56, 64)   0           ['block2e_drop[0][0]',           \n",
      "                                                                  'block2d_add[0][0]']            \n",
      "                                                                                                  \n",
      " block2f_expand_conv (Conv2D)   (None, 56, 56, 256)  147456      ['block2e_add[0][0]']            \n",
      "                                                                                                  \n",
      " block2f_expand_bn (BatchNormal  (None, 56, 56, 256)  1024       ['block2f_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block2f_expand_activation (Act  (None, 56, 56, 256)  0          ['block2f_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block2f_project_conv (Conv2D)  (None, 56, 56, 64)   16384       ['block2f_expand_activation[0][0]\n",
      "                                                                 ']                               \n",
      "                                                                                                  \n",
      " block2f_project_bn (BatchNorma  (None, 56, 56, 64)  256         ['block2f_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block2f_drop (Dropout)         (None, 56, 56, 64)   0           ['block2f_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block2f_add (Add)              (None, 56, 56, 64)   0           ['block2f_drop[0][0]',           \n",
      "                                                                  'block2e_add[0][0]']            \n",
      "                                                                                                  \n",
      " block2g_expand_conv (Conv2D)   (None, 56, 56, 256)  147456      ['block2f_add[0][0]']            \n",
      "                                                                                                  \n",
      " block2g_expand_bn (BatchNormal  (None, 56, 56, 256)  1024       ['block2g_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block2g_expand_activation (Act  (None, 56, 56, 256)  0          ['block2g_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block2g_project_conv (Conv2D)  (None, 56, 56, 64)   16384       ['block2g_expand_activation[0][0]\n",
      "                                                                 ']                               \n",
      "                                                                                                  \n",
      " block2g_project_bn (BatchNorma  (None, 56, 56, 64)  256         ['block2g_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block2g_drop (Dropout)         (None, 56, 56, 64)   0           ['block2g_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block2g_add (Add)              (None, 56, 56, 64)   0           ['block2g_drop[0][0]',           \n",
      "                                                                  'block2f_add[0][0]']            \n",
      "                                                                                                  \n",
      " block3a_expand_conv (Conv2D)   (None, 28, 28, 256)  147456      ['block2g_add[0][0]']            \n",
      "                                                                                                  \n",
      " block3a_expand_bn (BatchNormal  (None, 28, 28, 256)  1024       ['block3a_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block3a_expand_activation (Act  (None, 28, 28, 256)  0          ['block3a_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block3a_project_conv (Conv2D)  (None, 28, 28, 96)   24576       ['block3a_expand_activation[0][0]\n",
      "                                                                 ']                               \n",
      "                                                                                                  \n",
      " block3a_project_bn (BatchNorma  (None, 28, 28, 96)  384         ['block3a_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block3b_expand_conv (Conv2D)   (None, 28, 28, 384)  331776      ['block3a_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block3b_expand_bn (BatchNormal  (None, 28, 28, 384)  1536       ['block3b_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block3b_expand_activation (Act  (None, 28, 28, 384)  0          ['block3b_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block3b_project_conv (Conv2D)  (None, 28, 28, 96)   36864       ['block3b_expand_activation[0][0]\n",
      "                                                                 ']                               \n",
      "                                                                                                  \n",
      " block3b_project_bn (BatchNorma  (None, 28, 28, 96)  384         ['block3b_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block3b_drop (Dropout)         (None, 28, 28, 96)   0           ['block3b_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block3b_add (Add)              (None, 28, 28, 96)   0           ['block3b_drop[0][0]',           \n",
      "                                                                  'block3a_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block3c_expand_conv (Conv2D)   (None, 28, 28, 384)  331776      ['block3b_add[0][0]']            \n",
      "                                                                                                  \n",
      " block3c_expand_bn (BatchNormal  (None, 28, 28, 384)  1536       ['block3c_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block3c_expand_activation (Act  (None, 28, 28, 384)  0          ['block3c_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block3c_project_conv (Conv2D)  (None, 28, 28, 96)   36864       ['block3c_expand_activation[0][0]\n",
      "                                                                 ']                               \n",
      "                                                                                                  \n",
      " block3c_project_bn (BatchNorma  (None, 28, 28, 96)  384         ['block3c_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block3c_drop (Dropout)         (None, 28, 28, 96)   0           ['block3c_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block3c_add (Add)              (None, 28, 28, 96)   0           ['block3c_drop[0][0]',           \n",
      "                                                                  'block3b_add[0][0]']            \n",
      "                                                                                                  \n",
      " block3d_expand_conv (Conv2D)   (None, 28, 28, 384)  331776      ['block3c_add[0][0]']            \n",
      "                                                                                                  \n",
      " block3d_expand_bn (BatchNormal  (None, 28, 28, 384)  1536       ['block3d_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block3d_expand_activation (Act  (None, 28, 28, 384)  0          ['block3d_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block3d_project_conv (Conv2D)  (None, 28, 28, 96)   36864       ['block3d_expand_activation[0][0]\n",
      "                                                                 ']                               \n",
      "                                                                                                  \n",
      " block3d_project_bn (BatchNorma  (None, 28, 28, 96)  384         ['block3d_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block3d_drop (Dropout)         (None, 28, 28, 96)   0           ['block3d_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block3d_add (Add)              (None, 28, 28, 96)   0           ['block3d_drop[0][0]',           \n",
      "                                                                  'block3c_add[0][0]']            \n",
      "                                                                                                  \n",
      " block3e_expand_conv (Conv2D)   (None, 28, 28, 384)  331776      ['block3d_add[0][0]']            \n",
      "                                                                                                  \n",
      " block3e_expand_bn (BatchNormal  (None, 28, 28, 384)  1536       ['block3e_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block3e_expand_activation (Act  (None, 28, 28, 384)  0          ['block3e_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block3e_project_conv (Conv2D)  (None, 28, 28, 96)   36864       ['block3e_expand_activation[0][0]\n",
      "                                                                 ']                               \n",
      "                                                                                                  \n",
      " block3e_project_bn (BatchNorma  (None, 28, 28, 96)  384         ['block3e_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block3e_drop (Dropout)         (None, 28, 28, 96)   0           ['block3e_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block3e_add (Add)              (None, 28, 28, 96)   0           ['block3e_drop[0][0]',           \n",
      "                                                                  'block3d_add[0][0]']            \n",
      "                                                                                                  \n",
      " block3f_expand_conv (Conv2D)   (None, 28, 28, 384)  331776      ['block3e_add[0][0]']            \n",
      "                                                                                                  \n",
      " block3f_expand_bn (BatchNormal  (None, 28, 28, 384)  1536       ['block3f_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block3f_expand_activation (Act  (None, 28, 28, 384)  0          ['block3f_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block3f_project_conv (Conv2D)  (None, 28, 28, 96)   36864       ['block3f_expand_activation[0][0]\n",
      "                                                                 ']                               \n",
      "                                                                                                  \n",
      " block3f_project_bn (BatchNorma  (None, 28, 28, 96)  384         ['block3f_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block3f_drop (Dropout)         (None, 28, 28, 96)   0           ['block3f_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block3f_add (Add)              (None, 28, 28, 96)   0           ['block3f_drop[0][0]',           \n",
      "                                                                  'block3e_add[0][0]']            \n",
      "                                                                                                  \n",
      " block3g_expand_conv (Conv2D)   (None, 28, 28, 384)  331776      ['block3f_add[0][0]']            \n",
      "                                                                                                  \n",
      " block3g_expand_bn (BatchNormal  (None, 28, 28, 384)  1536       ['block3g_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block3g_expand_activation (Act  (None, 28, 28, 384)  0          ['block3g_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block3g_project_conv (Conv2D)  (None, 28, 28, 96)   36864       ['block3g_expand_activation[0][0]\n",
      "                                                                 ']                               \n",
      "                                                                                                  \n",
      " block3g_project_bn (BatchNorma  (None, 28, 28, 96)  384         ['block3g_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block3g_drop (Dropout)         (None, 28, 28, 96)   0           ['block3g_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block3g_add (Add)              (None, 28, 28, 96)   0           ['block3g_drop[0][0]',           \n",
      "                                                                  'block3f_add[0][0]']            \n",
      "                                                                                                  \n",
      " block4a_expand_conv (Conv2D)   (None, 28, 28, 384)  36864       ['block3g_add[0][0]']            \n",
      "                                                                                                  \n",
      " block4a_expand_bn (BatchNormal  (None, 28, 28, 384)  1536       ['block4a_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block4a_expand_activation (Act  (None, 28, 28, 384)  0          ['block4a_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block4a_dwconv2 (DepthwiseConv  (None, 14, 14, 384)  3456       ['block4a_expand_activation[0][0]\n",
      " 2D)                                                             ']                               \n",
      "                                                                                                  \n",
      " block4a_bn (BatchNormalization  (None, 14, 14, 384)  1536       ['block4a_dwconv2[0][0]']        \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block4a_activation (Activation  (None, 14, 14, 384)  0          ['block4a_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block4a_se_squeeze (GlobalAver  (None, 384)         0           ['block4a_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block4a_se_reshape (Reshape)   (None, 1, 1, 384)    0           ['block4a_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block4a_se_reduce (Conv2D)     (None, 1, 1, 24)     9240        ['block4a_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block4a_se_expand (Conv2D)     (None, 1, 1, 384)    9600        ['block4a_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block4a_se_excite (Multiply)   (None, 14, 14, 384)  0           ['block4a_activation[0][0]',     \n",
      "                                                                  'block4a_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block4a_project_conv (Conv2D)  (None, 14, 14, 192)  73728       ['block4a_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block4a_project_bn (BatchNorma  (None, 14, 14, 192)  768        ['block4a_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block4b_expand_conv (Conv2D)   (None, 14, 14, 768)  147456      ['block4a_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block4b_expand_bn (BatchNormal  (None, 14, 14, 768)  3072       ['block4b_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block4b_expand_activation (Act  (None, 14, 14, 768)  0          ['block4b_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block4b_dwconv2 (DepthwiseConv  (None, 14, 14, 768)  6912       ['block4b_expand_activation[0][0]\n",
      " 2D)                                                             ']                               \n",
      "                                                                                                  \n",
      " block4b_bn (BatchNormalization  (None, 14, 14, 768)  3072       ['block4b_dwconv2[0][0]']        \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block4b_activation (Activation  (None, 14, 14, 768)  0          ['block4b_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block4b_se_squeeze (GlobalAver  (None, 768)         0           ['block4b_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block4b_se_reshape (Reshape)   (None, 1, 1, 768)    0           ['block4b_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block4b_se_reduce (Conv2D)     (None, 1, 1, 48)     36912       ['block4b_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block4b_se_expand (Conv2D)     (None, 1, 1, 768)    37632       ['block4b_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block4b_se_excite (Multiply)   (None, 14, 14, 768)  0           ['block4b_activation[0][0]',     \n",
      "                                                                  'block4b_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block4b_project_conv (Conv2D)  (None, 14, 14, 192)  147456      ['block4b_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block4b_project_bn (BatchNorma  (None, 14, 14, 192)  768        ['block4b_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block4b_drop (Dropout)         (None, 14, 14, 192)  0           ['block4b_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block4b_add (Add)              (None, 14, 14, 192)  0           ['block4b_drop[0][0]',           \n",
      "                                                                  'block4a_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block4c_expand_conv (Conv2D)   (None, 14, 14, 768)  147456      ['block4b_add[0][0]']            \n",
      "                                                                                                  \n",
      " block4c_expand_bn (BatchNormal  (None, 14, 14, 768)  3072       ['block4c_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block4c_expand_activation (Act  (None, 14, 14, 768)  0          ['block4c_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block4c_dwconv2 (DepthwiseConv  (None, 14, 14, 768)  6912       ['block4c_expand_activation[0][0]\n",
      " 2D)                                                             ']                               \n",
      "                                                                                                  \n",
      " block4c_bn (BatchNormalization  (None, 14, 14, 768)  3072       ['block4c_dwconv2[0][0]']        \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block4c_activation (Activation  (None, 14, 14, 768)  0          ['block4c_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block4c_se_squeeze (GlobalAver  (None, 768)         0           ['block4c_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block4c_se_reshape (Reshape)   (None, 1, 1, 768)    0           ['block4c_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block4c_se_reduce (Conv2D)     (None, 1, 1, 48)     36912       ['block4c_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block4c_se_expand (Conv2D)     (None, 1, 1, 768)    37632       ['block4c_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block4c_se_excite (Multiply)   (None, 14, 14, 768)  0           ['block4c_activation[0][0]',     \n",
      "                                                                  'block4c_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block4c_project_conv (Conv2D)  (None, 14, 14, 192)  147456      ['block4c_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block4c_project_bn (BatchNorma  (None, 14, 14, 192)  768        ['block4c_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block4c_drop (Dropout)         (None, 14, 14, 192)  0           ['block4c_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block4c_add (Add)              (None, 14, 14, 192)  0           ['block4c_drop[0][0]',           \n",
      "                                                                  'block4b_add[0][0]']            \n",
      "                                                                                                  \n",
      " block4d_expand_conv (Conv2D)   (None, 14, 14, 768)  147456      ['block4c_add[0][0]']            \n",
      "                                                                                                  \n",
      " block4d_expand_bn (BatchNormal  (None, 14, 14, 768)  3072       ['block4d_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block4d_expand_activation (Act  (None, 14, 14, 768)  0          ['block4d_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block4d_dwconv2 (DepthwiseConv  (None, 14, 14, 768)  6912       ['block4d_expand_activation[0][0]\n",
      " 2D)                                                             ']                               \n",
      "                                                                                                  \n",
      " block4d_bn (BatchNormalization  (None, 14, 14, 768)  3072       ['block4d_dwconv2[0][0]']        \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block4d_activation (Activation  (None, 14, 14, 768)  0          ['block4d_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block4d_se_squeeze (GlobalAver  (None, 768)         0           ['block4d_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block4d_se_reshape (Reshape)   (None, 1, 1, 768)    0           ['block4d_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block4d_se_reduce (Conv2D)     (None, 1, 1, 48)     36912       ['block4d_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block4d_se_expand (Conv2D)     (None, 1, 1, 768)    37632       ['block4d_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block4d_se_excite (Multiply)   (None, 14, 14, 768)  0           ['block4d_activation[0][0]',     \n",
      "                                                                  'block4d_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block4d_project_conv (Conv2D)  (None, 14, 14, 192)  147456      ['block4d_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block4d_project_bn (BatchNorma  (None, 14, 14, 192)  768        ['block4d_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block4d_drop (Dropout)         (None, 14, 14, 192)  0           ['block4d_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block4d_add (Add)              (None, 14, 14, 192)  0           ['block4d_drop[0][0]',           \n",
      "                                                                  'block4c_add[0][0]']            \n",
      "                                                                                                  \n",
      " block4e_expand_conv (Conv2D)   (None, 14, 14, 768)  147456      ['block4d_add[0][0]']            \n",
      "                                                                                                  \n",
      " block4e_expand_bn (BatchNormal  (None, 14, 14, 768)  3072       ['block4e_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block4e_expand_activation (Act  (None, 14, 14, 768)  0          ['block4e_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block4e_dwconv2 (DepthwiseConv  (None, 14, 14, 768)  6912       ['block4e_expand_activation[0][0]\n",
      " 2D)                                                             ']                               \n",
      "                                                                                                  \n",
      " block4e_bn (BatchNormalization  (None, 14, 14, 768)  3072       ['block4e_dwconv2[0][0]']        \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block4e_activation (Activation  (None, 14, 14, 768)  0          ['block4e_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block4e_se_squeeze (GlobalAver  (None, 768)         0           ['block4e_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block4e_se_reshape (Reshape)   (None, 1, 1, 768)    0           ['block4e_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block4e_se_reduce (Conv2D)     (None, 1, 1, 48)     36912       ['block4e_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block4e_se_expand (Conv2D)     (None, 1, 1, 768)    37632       ['block4e_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block4e_se_excite (Multiply)   (None, 14, 14, 768)  0           ['block4e_activation[0][0]',     \n",
      "                                                                  'block4e_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block4e_project_conv (Conv2D)  (None, 14, 14, 192)  147456      ['block4e_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block4e_project_bn (BatchNorma  (None, 14, 14, 192)  768        ['block4e_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block4e_drop (Dropout)         (None, 14, 14, 192)  0           ['block4e_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block4e_add (Add)              (None, 14, 14, 192)  0           ['block4e_drop[0][0]',           \n",
      "                                                                  'block4d_add[0][0]']            \n",
      "                                                                                                  \n",
      " block4f_expand_conv (Conv2D)   (None, 14, 14, 768)  147456      ['block4e_add[0][0]']            \n",
      "                                                                                                  \n",
      " block4f_expand_bn (BatchNormal  (None, 14, 14, 768)  3072       ['block4f_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block4f_expand_activation (Act  (None, 14, 14, 768)  0          ['block4f_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block4f_dwconv2 (DepthwiseConv  (None, 14, 14, 768)  6912       ['block4f_expand_activation[0][0]\n",
      " 2D)                                                             ']                               \n",
      "                                                                                                  \n",
      " block4f_bn (BatchNormalization  (None, 14, 14, 768)  3072       ['block4f_dwconv2[0][0]']        \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block4f_activation (Activation  (None, 14, 14, 768)  0          ['block4f_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block4f_se_squeeze (GlobalAver  (None, 768)         0           ['block4f_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block4f_se_reshape (Reshape)   (None, 1, 1, 768)    0           ['block4f_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block4f_se_reduce (Conv2D)     (None, 1, 1, 48)     36912       ['block4f_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block4f_se_expand (Conv2D)     (None, 1, 1, 768)    37632       ['block4f_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block4f_se_excite (Multiply)   (None, 14, 14, 768)  0           ['block4f_activation[0][0]',     \n",
      "                                                                  'block4f_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block4f_project_conv (Conv2D)  (None, 14, 14, 192)  147456      ['block4f_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block4f_project_bn (BatchNorma  (None, 14, 14, 192)  768        ['block4f_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block4f_drop (Dropout)         (None, 14, 14, 192)  0           ['block4f_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block4f_add (Add)              (None, 14, 14, 192)  0           ['block4f_drop[0][0]',           \n",
      "                                                                  'block4e_add[0][0]']            \n",
      "                                                                                                  \n",
      " block4g_expand_conv (Conv2D)   (None, 14, 14, 768)  147456      ['block4f_add[0][0]']            \n",
      "                                                                                                  \n",
      " block4g_expand_bn (BatchNormal  (None, 14, 14, 768)  3072       ['block4g_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block4g_expand_activation (Act  (None, 14, 14, 768)  0          ['block4g_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block4g_dwconv2 (DepthwiseConv  (None, 14, 14, 768)  6912       ['block4g_expand_activation[0][0]\n",
      " 2D)                                                             ']                               \n",
      "                                                                                                  \n",
      " block4g_bn (BatchNormalization  (None, 14, 14, 768)  3072       ['block4g_dwconv2[0][0]']        \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block4g_activation (Activation  (None, 14, 14, 768)  0          ['block4g_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block4g_se_squeeze (GlobalAver  (None, 768)         0           ['block4g_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block4g_se_reshape (Reshape)   (None, 1, 1, 768)    0           ['block4g_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block4g_se_reduce (Conv2D)     (None, 1, 1, 48)     36912       ['block4g_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block4g_se_expand (Conv2D)     (None, 1, 1, 768)    37632       ['block4g_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block4g_se_excite (Multiply)   (None, 14, 14, 768)  0           ['block4g_activation[0][0]',     \n",
      "                                                                  'block4g_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block4g_project_conv (Conv2D)  (None, 14, 14, 192)  147456      ['block4g_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block4g_project_bn (BatchNorma  (None, 14, 14, 192)  768        ['block4g_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block4g_drop (Dropout)         (None, 14, 14, 192)  0           ['block4g_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block4g_add (Add)              (None, 14, 14, 192)  0           ['block4g_drop[0][0]',           \n",
      "                                                                  'block4f_add[0][0]']            \n",
      "                                                                                                  \n",
      " block4h_expand_conv (Conv2D)   (None, 14, 14, 768)  147456      ['block4g_add[0][0]']            \n",
      "                                                                                                  \n",
      " block4h_expand_bn (BatchNormal  (None, 14, 14, 768)  3072       ['block4h_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block4h_expand_activation (Act  (None, 14, 14, 768)  0          ['block4h_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block4h_dwconv2 (DepthwiseConv  (None, 14, 14, 768)  6912       ['block4h_expand_activation[0][0]\n",
      " 2D)                                                             ']                               \n",
      "                                                                                                  \n",
      " block4h_bn (BatchNormalization  (None, 14, 14, 768)  3072       ['block4h_dwconv2[0][0]']        \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block4h_activation (Activation  (None, 14, 14, 768)  0          ['block4h_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block4h_se_squeeze (GlobalAver  (None, 768)         0           ['block4h_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block4h_se_reshape (Reshape)   (None, 1, 1, 768)    0           ['block4h_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block4h_se_reduce (Conv2D)     (None, 1, 1, 48)     36912       ['block4h_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block4h_se_expand (Conv2D)     (None, 1, 1, 768)    37632       ['block4h_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block4h_se_excite (Multiply)   (None, 14, 14, 768)  0           ['block4h_activation[0][0]',     \n",
      "                                                                  'block4h_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block4h_project_conv (Conv2D)  (None, 14, 14, 192)  147456      ['block4h_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block4h_project_bn (BatchNorma  (None, 14, 14, 192)  768        ['block4h_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block4h_drop (Dropout)         (None, 14, 14, 192)  0           ['block4h_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block4h_add (Add)              (None, 14, 14, 192)  0           ['block4h_drop[0][0]',           \n",
      "                                                                  'block4g_add[0][0]']            \n",
      "                                                                                                  \n",
      " block4i_expand_conv (Conv2D)   (None, 14, 14, 768)  147456      ['block4h_add[0][0]']            \n",
      "                                                                                                  \n",
      " block4i_expand_bn (BatchNormal  (None, 14, 14, 768)  3072       ['block4i_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block4i_expand_activation (Act  (None, 14, 14, 768)  0          ['block4i_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block4i_dwconv2 (DepthwiseConv  (None, 14, 14, 768)  6912       ['block4i_expand_activation[0][0]\n",
      " 2D)                                                             ']                               \n",
      "                                                                                                  \n",
      " block4i_bn (BatchNormalization  (None, 14, 14, 768)  3072       ['block4i_dwconv2[0][0]']        \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block4i_activation (Activation  (None, 14, 14, 768)  0          ['block4i_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block4i_se_squeeze (GlobalAver  (None, 768)         0           ['block4i_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block4i_se_reshape (Reshape)   (None, 1, 1, 768)    0           ['block4i_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block4i_se_reduce (Conv2D)     (None, 1, 1, 48)     36912       ['block4i_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block4i_se_expand (Conv2D)     (None, 1, 1, 768)    37632       ['block4i_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block4i_se_excite (Multiply)   (None, 14, 14, 768)  0           ['block4i_activation[0][0]',     \n",
      "                                                                  'block4i_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block4i_project_conv (Conv2D)  (None, 14, 14, 192)  147456      ['block4i_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block4i_project_bn (BatchNorma  (None, 14, 14, 192)  768        ['block4i_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block4i_drop (Dropout)         (None, 14, 14, 192)  0           ['block4i_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block4i_add (Add)              (None, 14, 14, 192)  0           ['block4i_drop[0][0]',           \n",
      "                                                                  'block4h_add[0][0]']            \n",
      "                                                                                                  \n",
      " block4j_expand_conv (Conv2D)   (None, 14, 14, 768)  147456      ['block4i_add[0][0]']            \n",
      "                                                                                                  \n",
      " block4j_expand_bn (BatchNormal  (None, 14, 14, 768)  3072       ['block4j_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block4j_expand_activation (Act  (None, 14, 14, 768)  0          ['block4j_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block4j_dwconv2 (DepthwiseConv  (None, 14, 14, 768)  6912       ['block4j_expand_activation[0][0]\n",
      " 2D)                                                             ']                               \n",
      "                                                                                                  \n",
      " block4j_bn (BatchNormalization  (None, 14, 14, 768)  3072       ['block4j_dwconv2[0][0]']        \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block4j_activation (Activation  (None, 14, 14, 768)  0          ['block4j_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block4j_se_squeeze (GlobalAver  (None, 768)         0           ['block4j_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block4j_se_reshape (Reshape)   (None, 1, 1, 768)    0           ['block4j_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block4j_se_reduce (Conv2D)     (None, 1, 1, 48)     36912       ['block4j_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block4j_se_expand (Conv2D)     (None, 1, 1, 768)    37632       ['block4j_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block4j_se_excite (Multiply)   (None, 14, 14, 768)  0           ['block4j_activation[0][0]',     \n",
      "                                                                  'block4j_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block4j_project_conv (Conv2D)  (None, 14, 14, 192)  147456      ['block4j_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block4j_project_bn (BatchNorma  (None, 14, 14, 192)  768        ['block4j_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block4j_drop (Dropout)         (None, 14, 14, 192)  0           ['block4j_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block4j_add (Add)              (None, 14, 14, 192)  0           ['block4j_drop[0][0]',           \n",
      "                                                                  'block4i_add[0][0]']            \n",
      "                                                                                                  \n",
      " block5a_expand_conv (Conv2D)   (None, 14, 14, 1152  221184      ['block4j_add[0][0]']            \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " block5a_expand_bn (BatchNormal  (None, 14, 14, 1152  4608       ['block5a_expand_conv[0][0]']    \n",
      " ization)                       )                                                                 \n",
      "                                                                                                  \n",
      " block5a_expand_activation (Act  (None, 14, 14, 1152  0          ['block5a_expand_bn[0][0]']      \n",
      " ivation)                       )                                                                 \n",
      "                                                                                                  \n",
      " block5a_dwconv2 (DepthwiseConv  (None, 14, 14, 1152  10368      ['block5a_expand_activation[0][0]\n",
      " 2D)                            )                                ']                               \n",
      "                                                                                                  \n",
      " block5a_bn (BatchNormalization  (None, 14, 14, 1152  4608       ['block5a_dwconv2[0][0]']        \n",
      " )                              )                                                                 \n",
      "                                                                                                  \n",
      " block5a_activation (Activation  (None, 14, 14, 1152  0          ['block5a_bn[0][0]']             \n",
      " )                              )                                                                 \n",
      "                                                                                                  \n",
      " block5a_se_squeeze (GlobalAver  (None, 1152)        0           ['block5a_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block5a_se_reshape (Reshape)   (None, 1, 1, 1152)   0           ['block5a_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block5a_se_reduce (Conv2D)     (None, 1, 1, 48)     55344       ['block5a_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block5a_se_expand (Conv2D)     (None, 1, 1, 1152)   56448       ['block5a_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block5a_se_excite (Multiply)   (None, 14, 14, 1152  0           ['block5a_activation[0][0]',     \n",
      "                                )                                 'block5a_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block5a_project_conv (Conv2D)  (None, 14, 14, 224)  258048      ['block5a_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block5a_project_bn (BatchNorma  (None, 14, 14, 224)  896        ['block5a_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block5b_expand_conv (Conv2D)   (None, 14, 14, 1344  301056      ['block5a_project_bn[0][0]']     \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " block5b_expand_bn (BatchNormal  (None, 14, 14, 1344  5376       ['block5b_expand_conv[0][0]']    \n",
      " ization)                       )                                                                 \n",
      "                                                                                                  \n",
      " block5b_expand_activation (Act  (None, 14, 14, 1344  0          ['block5b_expand_bn[0][0]']      \n",
      " ivation)                       )                                                                 \n",
      "                                                                                                  \n",
      " block5b_dwconv2 (DepthwiseConv  (None, 14, 14, 1344  12096      ['block5b_expand_activation[0][0]\n",
      " 2D)                            )                                ']                               \n",
      "                                                                                                  \n",
      " block5b_bn (BatchNormalization  (None, 14, 14, 1344  5376       ['block5b_dwconv2[0][0]']        \n",
      " )                              )                                                                 \n",
      "                                                                                                  \n",
      " block5b_activation (Activation  (None, 14, 14, 1344  0          ['block5b_bn[0][0]']             \n",
      " )                              )                                                                 \n",
      "                                                                                                  \n",
      " block5b_se_squeeze (GlobalAver  (None, 1344)        0           ['block5b_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block5b_se_reshape (Reshape)   (None, 1, 1, 1344)   0           ['block5b_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block5b_se_reduce (Conv2D)     (None, 1, 1, 56)     75320       ['block5b_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block5b_se_expand (Conv2D)     (None, 1, 1, 1344)   76608       ['block5b_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block5b_se_excite (Multiply)   (None, 14, 14, 1344  0           ['block5b_activation[0][0]',     \n",
      "                                )                                 'block5b_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block5b_project_conv (Conv2D)  (None, 14, 14, 224)  301056      ['block5b_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block5b_project_bn (BatchNorma  (None, 14, 14, 224)  896        ['block5b_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block5b_drop (Dropout)         (None, 14, 14, 224)  0           ['block5b_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block5b_add (Add)              (None, 14, 14, 224)  0           ['block5b_drop[0][0]',           \n",
      "                                                                  'block5a_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block5c_expand_conv (Conv2D)   (None, 14, 14, 1344  301056      ['block5b_add[0][0]']            \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " block5c_expand_bn (BatchNormal  (None, 14, 14, 1344  5376       ['block5c_expand_conv[0][0]']    \n",
      " ization)                       )                                                                 \n",
      "                                                                                                  \n",
      " block5c_expand_activation (Act  (None, 14, 14, 1344  0          ['block5c_expand_bn[0][0]']      \n",
      " ivation)                       )                                                                 \n",
      "                                                                                                  \n",
      " block5c_dwconv2 (DepthwiseConv  (None, 14, 14, 1344  12096      ['block5c_expand_activation[0][0]\n",
      " 2D)                            )                                ']                               \n",
      "                                                                                                  \n",
      " block5c_bn (BatchNormalization  (None, 14, 14, 1344  5376       ['block5c_dwconv2[0][0]']        \n",
      " )                              )                                                                 \n",
      "                                                                                                  \n",
      " block5c_activation (Activation  (None, 14, 14, 1344  0          ['block5c_bn[0][0]']             \n",
      " )                              )                                                                 \n",
      "                                                                                                  \n",
      " block5c_se_squeeze (GlobalAver  (None, 1344)        0           ['block5c_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block5c_se_reshape (Reshape)   (None, 1, 1, 1344)   0           ['block5c_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block5c_se_reduce (Conv2D)     (None, 1, 1, 56)     75320       ['block5c_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block5c_se_expand (Conv2D)     (None, 1, 1, 1344)   76608       ['block5c_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block5c_se_excite (Multiply)   (None, 14, 14, 1344  0           ['block5c_activation[0][0]',     \n",
      "                                )                                 'block5c_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block5c_project_conv (Conv2D)  (None, 14, 14, 224)  301056      ['block5c_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block5c_project_bn (BatchNorma  (None, 14, 14, 224)  896        ['block5c_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block5c_drop (Dropout)         (None, 14, 14, 224)  0           ['block5c_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block5c_add (Add)              (None, 14, 14, 224)  0           ['block5c_drop[0][0]',           \n",
      "                                                                  'block5b_add[0][0]']            \n",
      "                                                                                                  \n",
      " block5d_expand_conv (Conv2D)   (None, 14, 14, 1344  301056      ['block5c_add[0][0]']            \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " block5d_expand_bn (BatchNormal  (None, 14, 14, 1344  5376       ['block5d_expand_conv[0][0]']    \n",
      " ization)                       )                                                                 \n",
      "                                                                                                  \n",
      " block5d_expand_activation (Act  (None, 14, 14, 1344  0          ['block5d_expand_bn[0][0]']      \n",
      " ivation)                       )                                                                 \n",
      "                                                                                                  \n",
      " block5d_dwconv2 (DepthwiseConv  (None, 14, 14, 1344  12096      ['block5d_expand_activation[0][0]\n",
      " 2D)                            )                                ']                               \n",
      "                                                                                                  \n",
      " block5d_bn (BatchNormalization  (None, 14, 14, 1344  5376       ['block5d_dwconv2[0][0]']        \n",
      " )                              )                                                                 \n",
      "                                                                                                  \n",
      " block5d_activation (Activation  (None, 14, 14, 1344  0          ['block5d_bn[0][0]']             \n",
      " )                              )                                                                 \n",
      "                                                                                                  \n",
      " block5d_se_squeeze (GlobalAver  (None, 1344)        0           ['block5d_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block5d_se_reshape (Reshape)   (None, 1, 1, 1344)   0           ['block5d_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block5d_se_reduce (Conv2D)     (None, 1, 1, 56)     75320       ['block5d_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block5d_se_expand (Conv2D)     (None, 1, 1, 1344)   76608       ['block5d_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block5d_se_excite (Multiply)   (None, 14, 14, 1344  0           ['block5d_activation[0][0]',     \n",
      "                                )                                 'block5d_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block5d_project_conv (Conv2D)  (None, 14, 14, 224)  301056      ['block5d_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block5d_project_bn (BatchNorma  (None, 14, 14, 224)  896        ['block5d_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block5d_drop (Dropout)         (None, 14, 14, 224)  0           ['block5d_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block5d_add (Add)              (None, 14, 14, 224)  0           ['block5d_drop[0][0]',           \n",
      "                                                                  'block5c_add[0][0]']            \n",
      "                                                                                                  \n",
      " block5e_expand_conv (Conv2D)   (None, 14, 14, 1344  301056      ['block5d_add[0][0]']            \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " block5e_expand_bn (BatchNormal  (None, 14, 14, 1344  5376       ['block5e_expand_conv[0][0]']    \n",
      " ization)                       )                                                                 \n",
      "                                                                                                  \n",
      " block5e_expand_activation (Act  (None, 14, 14, 1344  0          ['block5e_expand_bn[0][0]']      \n",
      " ivation)                       )                                                                 \n",
      "                                                                                                  \n",
      " block5e_dwconv2 (DepthwiseConv  (None, 14, 14, 1344  12096      ['block5e_expand_activation[0][0]\n",
      " 2D)                            )                                ']                               \n",
      "                                                                                                  \n",
      " block5e_bn (BatchNormalization  (None, 14, 14, 1344  5376       ['block5e_dwconv2[0][0]']        \n",
      " )                              )                                                                 \n",
      "                                                                                                  \n",
      " block5e_activation (Activation  (None, 14, 14, 1344  0          ['block5e_bn[0][0]']             \n",
      " )                              )                                                                 \n",
      "                                                                                                  \n",
      " block5e_se_squeeze (GlobalAver  (None, 1344)        0           ['block5e_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block5e_se_reshape (Reshape)   (None, 1, 1, 1344)   0           ['block5e_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block5e_se_reduce (Conv2D)     (None, 1, 1, 56)     75320       ['block5e_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block5e_se_expand (Conv2D)     (None, 1, 1, 1344)   76608       ['block5e_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block5e_se_excite (Multiply)   (None, 14, 14, 1344  0           ['block5e_activation[0][0]',     \n",
      "                                )                                 'block5e_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block5e_project_conv (Conv2D)  (None, 14, 14, 224)  301056      ['block5e_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block5e_project_bn (BatchNorma  (None, 14, 14, 224)  896        ['block5e_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block5e_drop (Dropout)         (None, 14, 14, 224)  0           ['block5e_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block5e_add (Add)              (None, 14, 14, 224)  0           ['block5e_drop[0][0]',           \n",
      "                                                                  'block5d_add[0][0]']            \n",
      "                                                                                                  \n",
      " block5f_expand_conv (Conv2D)   (None, 14, 14, 1344  301056      ['block5e_add[0][0]']            \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " block5f_expand_bn (BatchNormal  (None, 14, 14, 1344  5376       ['block5f_expand_conv[0][0]']    \n",
      " ization)                       )                                                                 \n",
      "                                                                                                  \n",
      " block5f_expand_activation (Act  (None, 14, 14, 1344  0          ['block5f_expand_bn[0][0]']      \n",
      " ivation)                       )                                                                 \n",
      "                                                                                                  \n",
      " block5f_dwconv2 (DepthwiseConv  (None, 14, 14, 1344  12096      ['block5f_expand_activation[0][0]\n",
      " 2D)                            )                                ']                               \n",
      "                                                                                                  \n",
      " block5f_bn (BatchNormalization  (None, 14, 14, 1344  5376       ['block5f_dwconv2[0][0]']        \n",
      " )                              )                                                                 \n",
      "                                                                                                  \n",
      " block5f_activation (Activation  (None, 14, 14, 1344  0          ['block5f_bn[0][0]']             \n",
      " )                              )                                                                 \n",
      "                                                                                                  \n",
      " block5f_se_squeeze (GlobalAver  (None, 1344)        0           ['block5f_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block5f_se_reshape (Reshape)   (None, 1, 1, 1344)   0           ['block5f_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block5f_se_reduce (Conv2D)     (None, 1, 1, 56)     75320       ['block5f_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block5f_se_expand (Conv2D)     (None, 1, 1, 1344)   76608       ['block5f_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block5f_se_excite (Multiply)   (None, 14, 14, 1344  0           ['block5f_activation[0][0]',     \n",
      "                                )                                 'block5f_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block5f_project_conv (Conv2D)  (None, 14, 14, 224)  301056      ['block5f_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block5f_project_bn (BatchNorma  (None, 14, 14, 224)  896        ['block5f_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block5f_drop (Dropout)         (None, 14, 14, 224)  0           ['block5f_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block5f_add (Add)              (None, 14, 14, 224)  0           ['block5f_drop[0][0]',           \n",
      "                                                                  'block5e_add[0][0]']            \n",
      "                                                                                                  \n",
      " block5g_expand_conv (Conv2D)   (None, 14, 14, 1344  301056      ['block5f_add[0][0]']            \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " block5g_expand_bn (BatchNormal  (None, 14, 14, 1344  5376       ['block5g_expand_conv[0][0]']    \n",
      " ization)                       )                                                                 \n",
      "                                                                                                  \n",
      " block5g_expand_activation (Act  (None, 14, 14, 1344  0          ['block5g_expand_bn[0][0]']      \n",
      " ivation)                       )                                                                 \n",
      "                                                                                                  \n",
      " block5g_dwconv2 (DepthwiseConv  (None, 14, 14, 1344  12096      ['block5g_expand_activation[0][0]\n",
      " 2D)                            )                                ']                               \n",
      "                                                                                                  \n",
      " block5g_bn (BatchNormalization  (None, 14, 14, 1344  5376       ['block5g_dwconv2[0][0]']        \n",
      " )                              )                                                                 \n",
      "                                                                                                  \n",
      " block5g_activation (Activation  (None, 14, 14, 1344  0          ['block5g_bn[0][0]']             \n",
      " )                              )                                                                 \n",
      "                                                                                                  \n",
      " block5g_se_squeeze (GlobalAver  (None, 1344)        0           ['block5g_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block5g_se_reshape (Reshape)   (None, 1, 1, 1344)   0           ['block5g_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block5g_se_reduce (Conv2D)     (None, 1, 1, 56)     75320       ['block5g_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block5g_se_expand (Conv2D)     (None, 1, 1, 1344)   76608       ['block5g_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block5g_se_excite (Multiply)   (None, 14, 14, 1344  0           ['block5g_activation[0][0]',     \n",
      "                                )                                 'block5g_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block5g_project_conv (Conv2D)  (None, 14, 14, 224)  301056      ['block5g_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block5g_project_bn (BatchNorma  (None, 14, 14, 224)  896        ['block5g_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block5g_drop (Dropout)         (None, 14, 14, 224)  0           ['block5g_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block5g_add (Add)              (None, 14, 14, 224)  0           ['block5g_drop[0][0]',           \n",
      "                                                                  'block5f_add[0][0]']            \n",
      "                                                                                                  \n",
      " block5h_expand_conv (Conv2D)   (None, 14, 14, 1344  301056      ['block5g_add[0][0]']            \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " block5h_expand_bn (BatchNormal  (None, 14, 14, 1344  5376       ['block5h_expand_conv[0][0]']    \n",
      " ization)                       )                                                                 \n",
      "                                                                                                  \n",
      " block5h_expand_activation (Act  (None, 14, 14, 1344  0          ['block5h_expand_bn[0][0]']      \n",
      " ivation)                       )                                                                 \n",
      "                                                                                                  \n",
      " block5h_dwconv2 (DepthwiseConv  (None, 14, 14, 1344  12096      ['block5h_expand_activation[0][0]\n",
      " 2D)                            )                                ']                               \n",
      "                                                                                                  \n",
      " block5h_bn (BatchNormalization  (None, 14, 14, 1344  5376       ['block5h_dwconv2[0][0]']        \n",
      " )                              )                                                                 \n",
      "                                                                                                  \n",
      " block5h_activation (Activation  (None, 14, 14, 1344  0          ['block5h_bn[0][0]']             \n",
      " )                              )                                                                 \n",
      "                                                                                                  \n",
      " block5h_se_squeeze (GlobalAver  (None, 1344)        0           ['block5h_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block5h_se_reshape (Reshape)   (None, 1, 1, 1344)   0           ['block5h_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block5h_se_reduce (Conv2D)     (None, 1, 1, 56)     75320       ['block5h_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block5h_se_expand (Conv2D)     (None, 1, 1, 1344)   76608       ['block5h_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block5h_se_excite (Multiply)   (None, 14, 14, 1344  0           ['block5h_activation[0][0]',     \n",
      "                                )                                 'block5h_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block5h_project_conv (Conv2D)  (None, 14, 14, 224)  301056      ['block5h_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block5h_project_bn (BatchNorma  (None, 14, 14, 224)  896        ['block5h_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block5h_drop (Dropout)         (None, 14, 14, 224)  0           ['block5h_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block5h_add (Add)              (None, 14, 14, 224)  0           ['block5h_drop[0][0]',           \n",
      "                                                                  'block5g_add[0][0]']            \n",
      "                                                                                                  \n",
      " block5i_expand_conv (Conv2D)   (None, 14, 14, 1344  301056      ['block5h_add[0][0]']            \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " block5i_expand_bn (BatchNormal  (None, 14, 14, 1344  5376       ['block5i_expand_conv[0][0]']    \n",
      " ization)                       )                                                                 \n",
      "                                                                                                  \n",
      " block5i_expand_activation (Act  (None, 14, 14, 1344  0          ['block5i_expand_bn[0][0]']      \n",
      " ivation)                       )                                                                 \n",
      "                                                                                                  \n",
      " block5i_dwconv2 (DepthwiseConv  (None, 14, 14, 1344  12096      ['block5i_expand_activation[0][0]\n",
      " 2D)                            )                                ']                               \n",
      "                                                                                                  \n",
      " block5i_bn (BatchNormalization  (None, 14, 14, 1344  5376       ['block5i_dwconv2[0][0]']        \n",
      " )                              )                                                                 \n",
      "                                                                                                  \n",
      " block5i_activation (Activation  (None, 14, 14, 1344  0          ['block5i_bn[0][0]']             \n",
      " )                              )                                                                 \n",
      "                                                                                                  \n",
      " block5i_se_squeeze (GlobalAver  (None, 1344)        0           ['block5i_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block5i_se_reshape (Reshape)   (None, 1, 1, 1344)   0           ['block5i_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block5i_se_reduce (Conv2D)     (None, 1, 1, 56)     75320       ['block5i_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block5i_se_expand (Conv2D)     (None, 1, 1, 1344)   76608       ['block5i_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block5i_se_excite (Multiply)   (None, 14, 14, 1344  0           ['block5i_activation[0][0]',     \n",
      "                                )                                 'block5i_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block5i_project_conv (Conv2D)  (None, 14, 14, 224)  301056      ['block5i_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block5i_project_bn (BatchNorma  (None, 14, 14, 224)  896        ['block5i_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block5i_drop (Dropout)         (None, 14, 14, 224)  0           ['block5i_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block5i_add (Add)              (None, 14, 14, 224)  0           ['block5i_drop[0][0]',           \n",
      "                                                                  'block5h_add[0][0]']            \n",
      "                                                                                                  \n",
      " block5j_expand_conv (Conv2D)   (None, 14, 14, 1344  301056      ['block5i_add[0][0]']            \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " block5j_expand_bn (BatchNormal  (None, 14, 14, 1344  5376       ['block5j_expand_conv[0][0]']    \n",
      " ization)                       )                                                                 \n",
      "                                                                                                  \n",
      " block5j_expand_activation (Act  (None, 14, 14, 1344  0          ['block5j_expand_bn[0][0]']      \n",
      " ivation)                       )                                                                 \n",
      "                                                                                                  \n",
      " block5j_dwconv2 (DepthwiseConv  (None, 14, 14, 1344  12096      ['block5j_expand_activation[0][0]\n",
      " 2D)                            )                                ']                               \n",
      "                                                                                                  \n",
      " block5j_bn (BatchNormalization  (None, 14, 14, 1344  5376       ['block5j_dwconv2[0][0]']        \n",
      " )                              )                                                                 \n",
      "                                                                                                  \n",
      " block5j_activation (Activation  (None, 14, 14, 1344  0          ['block5j_bn[0][0]']             \n",
      " )                              )                                                                 \n",
      "                                                                                                  \n",
      " block5j_se_squeeze (GlobalAver  (None, 1344)        0           ['block5j_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block5j_se_reshape (Reshape)   (None, 1, 1, 1344)   0           ['block5j_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block5j_se_reduce (Conv2D)     (None, 1, 1, 56)     75320       ['block5j_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block5j_se_expand (Conv2D)     (None, 1, 1, 1344)   76608       ['block5j_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block5j_se_excite (Multiply)   (None, 14, 14, 1344  0           ['block5j_activation[0][0]',     \n",
      "                                )                                 'block5j_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block5j_project_conv (Conv2D)  (None, 14, 14, 224)  301056      ['block5j_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block5j_project_bn (BatchNorma  (None, 14, 14, 224)  896        ['block5j_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block5j_drop (Dropout)         (None, 14, 14, 224)  0           ['block5j_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block5j_add (Add)              (None, 14, 14, 224)  0           ['block5j_drop[0][0]',           \n",
      "                                                                  'block5i_add[0][0]']            \n",
      "                                                                                                  \n",
      " block5k_expand_conv (Conv2D)   (None, 14, 14, 1344  301056      ['block5j_add[0][0]']            \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " block5k_expand_bn (BatchNormal  (None, 14, 14, 1344  5376       ['block5k_expand_conv[0][0]']    \n",
      " ization)                       )                                                                 \n",
      "                                                                                                  \n",
      " block5k_expand_activation (Act  (None, 14, 14, 1344  0          ['block5k_expand_bn[0][0]']      \n",
      " ivation)                       )                                                                 \n",
      "                                                                                                  \n",
      " block5k_dwconv2 (DepthwiseConv  (None, 14, 14, 1344  12096      ['block5k_expand_activation[0][0]\n",
      " 2D)                            )                                ']                               \n",
      "                                                                                                  \n",
      " block5k_bn (BatchNormalization  (None, 14, 14, 1344  5376       ['block5k_dwconv2[0][0]']        \n",
      " )                              )                                                                 \n",
      "                                                                                                  \n",
      " block5k_activation (Activation  (None, 14, 14, 1344  0          ['block5k_bn[0][0]']             \n",
      " )                              )                                                                 \n",
      "                                                                                                  \n",
      " block5k_se_squeeze (GlobalAver  (None, 1344)        0           ['block5k_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block5k_se_reshape (Reshape)   (None, 1, 1, 1344)   0           ['block5k_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block5k_se_reduce (Conv2D)     (None, 1, 1, 56)     75320       ['block5k_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block5k_se_expand (Conv2D)     (None, 1, 1, 1344)   76608       ['block5k_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block5k_se_excite (Multiply)   (None, 14, 14, 1344  0           ['block5k_activation[0][0]',     \n",
      "                                )                                 'block5k_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block5k_project_conv (Conv2D)  (None, 14, 14, 224)  301056      ['block5k_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block5k_project_bn (BatchNorma  (None, 14, 14, 224)  896        ['block5k_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block5k_drop (Dropout)         (None, 14, 14, 224)  0           ['block5k_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block5k_add (Add)              (None, 14, 14, 224)  0           ['block5k_drop[0][0]',           \n",
      "                                                                  'block5j_add[0][0]']            \n",
      "                                                                                                  \n",
      " block5l_expand_conv (Conv2D)   (None, 14, 14, 1344  301056      ['block5k_add[0][0]']            \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " block5l_expand_bn (BatchNormal  (None, 14, 14, 1344  5376       ['block5l_expand_conv[0][0]']    \n",
      " ization)                       )                                                                 \n",
      "                                                                                                  \n",
      " block5l_expand_activation (Act  (None, 14, 14, 1344  0          ['block5l_expand_bn[0][0]']      \n",
      " ivation)                       )                                                                 \n",
      "                                                                                                  \n",
      " block5l_dwconv2 (DepthwiseConv  (None, 14, 14, 1344  12096      ['block5l_expand_activation[0][0]\n",
      " 2D)                            )                                ']                               \n",
      "                                                                                                  \n",
      " block5l_bn (BatchNormalization  (None, 14, 14, 1344  5376       ['block5l_dwconv2[0][0]']        \n",
      " )                              )                                                                 \n",
      "                                                                                                  \n",
      " block5l_activation (Activation  (None, 14, 14, 1344  0          ['block5l_bn[0][0]']             \n",
      " )                              )                                                                 \n",
      "                                                                                                  \n",
      " block5l_se_squeeze (GlobalAver  (None, 1344)        0           ['block5l_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block5l_se_reshape (Reshape)   (None, 1, 1, 1344)   0           ['block5l_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block5l_se_reduce (Conv2D)     (None, 1, 1, 56)     75320       ['block5l_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block5l_se_expand (Conv2D)     (None, 1, 1, 1344)   76608       ['block5l_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block5l_se_excite (Multiply)   (None, 14, 14, 1344  0           ['block5l_activation[0][0]',     \n",
      "                                )                                 'block5l_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block5l_project_conv (Conv2D)  (None, 14, 14, 224)  301056      ['block5l_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block5l_project_bn (BatchNorma  (None, 14, 14, 224)  896        ['block5l_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block5l_drop (Dropout)         (None, 14, 14, 224)  0           ['block5l_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block5l_add (Add)              (None, 14, 14, 224)  0           ['block5l_drop[0][0]',           \n",
      "                                                                  'block5k_add[0][0]']            \n",
      "                                                                                                  \n",
      " block5m_expand_conv (Conv2D)   (None, 14, 14, 1344  301056      ['block5l_add[0][0]']            \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " block5m_expand_bn (BatchNormal  (None, 14, 14, 1344  5376       ['block5m_expand_conv[0][0]']    \n",
      " ization)                       )                                                                 \n",
      "                                                                                                  \n",
      " block5m_expand_activation (Act  (None, 14, 14, 1344  0          ['block5m_expand_bn[0][0]']      \n",
      " ivation)                       )                                                                 \n",
      "                                                                                                  \n",
      " block5m_dwconv2 (DepthwiseConv  (None, 14, 14, 1344  12096      ['block5m_expand_activation[0][0]\n",
      " 2D)                            )                                ']                               \n",
      "                                                                                                  \n",
      " block5m_bn (BatchNormalization  (None, 14, 14, 1344  5376       ['block5m_dwconv2[0][0]']        \n",
      " )                              )                                                                 \n",
      "                                                                                                  \n",
      " block5m_activation (Activation  (None, 14, 14, 1344  0          ['block5m_bn[0][0]']             \n",
      " )                              )                                                                 \n",
      "                                                                                                  \n",
      " block5m_se_squeeze (GlobalAver  (None, 1344)        0           ['block5m_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block5m_se_reshape (Reshape)   (None, 1, 1, 1344)   0           ['block5m_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block5m_se_reduce (Conv2D)     (None, 1, 1, 56)     75320       ['block5m_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block5m_se_expand (Conv2D)     (None, 1, 1, 1344)   76608       ['block5m_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block5m_se_excite (Multiply)   (None, 14, 14, 1344  0           ['block5m_activation[0][0]',     \n",
      "                                )                                 'block5m_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block5m_project_conv (Conv2D)  (None, 14, 14, 224)  301056      ['block5m_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block5m_project_bn (BatchNorma  (None, 14, 14, 224)  896        ['block5m_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block5m_drop (Dropout)         (None, 14, 14, 224)  0           ['block5m_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block5m_add (Add)              (None, 14, 14, 224)  0           ['block5m_drop[0][0]',           \n",
      "                                                                  'block5l_add[0][0]']            \n",
      "                                                                                                  \n",
      " block5n_expand_conv (Conv2D)   (None, 14, 14, 1344  301056      ['block5m_add[0][0]']            \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " block5n_expand_bn (BatchNormal  (None, 14, 14, 1344  5376       ['block5n_expand_conv[0][0]']    \n",
      " ization)                       )                                                                 \n",
      "                                                                                                  \n",
      " block5n_expand_activation (Act  (None, 14, 14, 1344  0          ['block5n_expand_bn[0][0]']      \n",
      " ivation)                       )                                                                 \n",
      "                                                                                                  \n",
      " block5n_dwconv2 (DepthwiseConv  (None, 14, 14, 1344  12096      ['block5n_expand_activation[0][0]\n",
      " 2D)                            )                                ']                               \n",
      "                                                                                                  \n",
      " block5n_bn (BatchNormalization  (None, 14, 14, 1344  5376       ['block5n_dwconv2[0][0]']        \n",
      " )                              )                                                                 \n",
      "                                                                                                  \n",
      " block5n_activation (Activation  (None, 14, 14, 1344  0          ['block5n_bn[0][0]']             \n",
      " )                              )                                                                 \n",
      "                                                                                                  \n",
      " block5n_se_squeeze (GlobalAver  (None, 1344)        0           ['block5n_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block5n_se_reshape (Reshape)   (None, 1, 1, 1344)   0           ['block5n_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block5n_se_reduce (Conv2D)     (None, 1, 1, 56)     75320       ['block5n_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block5n_se_expand (Conv2D)     (None, 1, 1, 1344)   76608       ['block5n_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block5n_se_excite (Multiply)   (None, 14, 14, 1344  0           ['block5n_activation[0][0]',     \n",
      "                                )                                 'block5n_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block5n_project_conv (Conv2D)  (None, 14, 14, 224)  301056      ['block5n_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block5n_project_bn (BatchNorma  (None, 14, 14, 224)  896        ['block5n_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block5n_drop (Dropout)         (None, 14, 14, 224)  0           ['block5n_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block5n_add (Add)              (None, 14, 14, 224)  0           ['block5n_drop[0][0]',           \n",
      "                                                                  'block5m_add[0][0]']            \n",
      "                                                                                                  \n",
      " block5o_expand_conv (Conv2D)   (None, 14, 14, 1344  301056      ['block5n_add[0][0]']            \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " block5o_expand_bn (BatchNormal  (None, 14, 14, 1344  5376       ['block5o_expand_conv[0][0]']    \n",
      " ization)                       )                                                                 \n",
      "                                                                                                  \n",
      " block5o_expand_activation (Act  (None, 14, 14, 1344  0          ['block5o_expand_bn[0][0]']      \n",
      " ivation)                       )                                                                 \n",
      "                                                                                                  \n",
      " block5o_dwconv2 (DepthwiseConv  (None, 14, 14, 1344  12096      ['block5o_expand_activation[0][0]\n",
      " 2D)                            )                                ']                               \n",
      "                                                                                                  \n",
      " block5o_bn (BatchNormalization  (None, 14, 14, 1344  5376       ['block5o_dwconv2[0][0]']        \n",
      " )                              )                                                                 \n",
      "                                                                                                  \n",
      " block5o_activation (Activation  (None, 14, 14, 1344  0          ['block5o_bn[0][0]']             \n",
      " )                              )                                                                 \n",
      "                                                                                                  \n",
      " block5o_se_squeeze (GlobalAver  (None, 1344)        0           ['block5o_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block5o_se_reshape (Reshape)   (None, 1, 1, 1344)   0           ['block5o_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block5o_se_reduce (Conv2D)     (None, 1, 1, 56)     75320       ['block5o_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block5o_se_expand (Conv2D)     (None, 1, 1, 1344)   76608       ['block5o_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block5o_se_excite (Multiply)   (None, 14, 14, 1344  0           ['block5o_activation[0][0]',     \n",
      "                                )                                 'block5o_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block5o_project_conv (Conv2D)  (None, 14, 14, 224)  301056      ['block5o_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block5o_project_bn (BatchNorma  (None, 14, 14, 224)  896        ['block5o_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block5o_drop (Dropout)         (None, 14, 14, 224)  0           ['block5o_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block5o_add (Add)              (None, 14, 14, 224)  0           ['block5o_drop[0][0]',           \n",
      "                                                                  'block5n_add[0][0]']            \n",
      "                                                                                                  \n",
      " block5p_expand_conv (Conv2D)   (None, 14, 14, 1344  301056      ['block5o_add[0][0]']            \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " block5p_expand_bn (BatchNormal  (None, 14, 14, 1344  5376       ['block5p_expand_conv[0][0]']    \n",
      " ization)                       )                                                                 \n",
      "                                                                                                  \n",
      " block5p_expand_activation (Act  (None, 14, 14, 1344  0          ['block5p_expand_bn[0][0]']      \n",
      " ivation)                       )                                                                 \n",
      "                                                                                                  \n",
      " block5p_dwconv2 (DepthwiseConv  (None, 14, 14, 1344  12096      ['block5p_expand_activation[0][0]\n",
      " 2D)                            )                                ']                               \n",
      "                                                                                                  \n",
      " block5p_bn (BatchNormalization  (None, 14, 14, 1344  5376       ['block5p_dwconv2[0][0]']        \n",
      " )                              )                                                                 \n",
      "                                                                                                  \n",
      " block5p_activation (Activation  (None, 14, 14, 1344  0          ['block5p_bn[0][0]']             \n",
      " )                              )                                                                 \n",
      "                                                                                                  \n",
      " block5p_se_squeeze (GlobalAver  (None, 1344)        0           ['block5p_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block5p_se_reshape (Reshape)   (None, 1, 1, 1344)   0           ['block5p_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block5p_se_reduce (Conv2D)     (None, 1, 1, 56)     75320       ['block5p_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block5p_se_expand (Conv2D)     (None, 1, 1, 1344)   76608       ['block5p_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block5p_se_excite (Multiply)   (None, 14, 14, 1344  0           ['block5p_activation[0][0]',     \n",
      "                                )                                 'block5p_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block5p_project_conv (Conv2D)  (None, 14, 14, 224)  301056      ['block5p_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block5p_project_bn (BatchNorma  (None, 14, 14, 224)  896        ['block5p_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block5p_drop (Dropout)         (None, 14, 14, 224)  0           ['block5p_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block5p_add (Add)              (None, 14, 14, 224)  0           ['block5p_drop[0][0]',           \n",
      "                                                                  'block5o_add[0][0]']            \n",
      "                                                                                                  \n",
      " block5q_expand_conv (Conv2D)   (None, 14, 14, 1344  301056      ['block5p_add[0][0]']            \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " block5q_expand_bn (BatchNormal  (None, 14, 14, 1344  5376       ['block5q_expand_conv[0][0]']    \n",
      " ization)                       )                                                                 \n",
      "                                                                                                  \n",
      " block5q_expand_activation (Act  (None, 14, 14, 1344  0          ['block5q_expand_bn[0][0]']      \n",
      " ivation)                       )                                                                 \n",
      "                                                                                                  \n",
      " block5q_dwconv2 (DepthwiseConv  (None, 14, 14, 1344  12096      ['block5q_expand_activation[0][0]\n",
      " 2D)                            )                                ']                               \n",
      "                                                                                                  \n",
      " block5q_bn (BatchNormalization  (None, 14, 14, 1344  5376       ['block5q_dwconv2[0][0]']        \n",
      " )                              )                                                                 \n",
      "                                                                                                  \n",
      " block5q_activation (Activation  (None, 14, 14, 1344  0          ['block5q_bn[0][0]']             \n",
      " )                              )                                                                 \n",
      "                                                                                                  \n",
      " block5q_se_squeeze (GlobalAver  (None, 1344)        0           ['block5q_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block5q_se_reshape (Reshape)   (None, 1, 1, 1344)   0           ['block5q_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block5q_se_reduce (Conv2D)     (None, 1, 1, 56)     75320       ['block5q_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block5q_se_expand (Conv2D)     (None, 1, 1, 1344)   76608       ['block5q_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block5q_se_excite (Multiply)   (None, 14, 14, 1344  0           ['block5q_activation[0][0]',     \n",
      "                                )                                 'block5q_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block5q_project_conv (Conv2D)  (None, 14, 14, 224)  301056      ['block5q_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block5q_project_bn (BatchNorma  (None, 14, 14, 224)  896        ['block5q_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block5q_drop (Dropout)         (None, 14, 14, 224)  0           ['block5q_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block5q_add (Add)              (None, 14, 14, 224)  0           ['block5q_drop[0][0]',           \n",
      "                                                                  'block5p_add[0][0]']            \n",
      "                                                                                                  \n",
      " block5r_expand_conv (Conv2D)   (None, 14, 14, 1344  301056      ['block5q_add[0][0]']            \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " block5r_expand_bn (BatchNormal  (None, 14, 14, 1344  5376       ['block5r_expand_conv[0][0]']    \n",
      " ization)                       )                                                                 \n",
      "                                                                                                  \n",
      " block5r_expand_activation (Act  (None, 14, 14, 1344  0          ['block5r_expand_bn[0][0]']      \n",
      " ivation)                       )                                                                 \n",
      "                                                                                                  \n",
      " block5r_dwconv2 (DepthwiseConv  (None, 14, 14, 1344  12096      ['block5r_expand_activation[0][0]\n",
      " 2D)                            )                                ']                               \n",
      "                                                                                                  \n",
      " block5r_bn (BatchNormalization  (None, 14, 14, 1344  5376       ['block5r_dwconv2[0][0]']        \n",
      " )                              )                                                                 \n",
      "                                                                                                  \n",
      " block5r_activation (Activation  (None, 14, 14, 1344  0          ['block5r_bn[0][0]']             \n",
      " )                              )                                                                 \n",
      "                                                                                                  \n",
      " block5r_se_squeeze (GlobalAver  (None, 1344)        0           ['block5r_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block5r_se_reshape (Reshape)   (None, 1, 1, 1344)   0           ['block5r_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block5r_se_reduce (Conv2D)     (None, 1, 1, 56)     75320       ['block5r_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block5r_se_expand (Conv2D)     (None, 1, 1, 1344)   76608       ['block5r_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block5r_se_excite (Multiply)   (None, 14, 14, 1344  0           ['block5r_activation[0][0]',     \n",
      "                                )                                 'block5r_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block5r_project_conv (Conv2D)  (None, 14, 14, 224)  301056      ['block5r_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block5r_project_bn (BatchNorma  (None, 14, 14, 224)  896        ['block5r_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block5r_drop (Dropout)         (None, 14, 14, 224)  0           ['block5r_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block5r_add (Add)              (None, 14, 14, 224)  0           ['block5r_drop[0][0]',           \n",
      "                                                                  'block5q_add[0][0]']            \n",
      "                                                                                                  \n",
      " block5s_expand_conv (Conv2D)   (None, 14, 14, 1344  301056      ['block5r_add[0][0]']            \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " block5s_expand_bn (BatchNormal  (None, 14, 14, 1344  5376       ['block5s_expand_conv[0][0]']    \n",
      " ization)                       )                                                                 \n",
      "                                                                                                  \n",
      " block5s_expand_activation (Act  (None, 14, 14, 1344  0          ['block5s_expand_bn[0][0]']      \n",
      " ivation)                       )                                                                 \n",
      "                                                                                                  \n",
      " block5s_dwconv2 (DepthwiseConv  (None, 14, 14, 1344  12096      ['block5s_expand_activation[0][0]\n",
      " 2D)                            )                                ']                               \n",
      "                                                                                                  \n",
      " block5s_bn (BatchNormalization  (None, 14, 14, 1344  5376       ['block5s_dwconv2[0][0]']        \n",
      " )                              )                                                                 \n",
      "                                                                                                  \n",
      " block5s_activation (Activation  (None, 14, 14, 1344  0          ['block5s_bn[0][0]']             \n",
      " )                              )                                                                 \n",
      "                                                                                                  \n",
      " block5s_se_squeeze (GlobalAver  (None, 1344)        0           ['block5s_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block5s_se_reshape (Reshape)   (None, 1, 1, 1344)   0           ['block5s_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block5s_se_reduce (Conv2D)     (None, 1, 1, 56)     75320       ['block5s_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block5s_se_expand (Conv2D)     (None, 1, 1, 1344)   76608       ['block5s_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block5s_se_excite (Multiply)   (None, 14, 14, 1344  0           ['block5s_activation[0][0]',     \n",
      "                                )                                 'block5s_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block5s_project_conv (Conv2D)  (None, 14, 14, 224)  301056      ['block5s_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block5s_project_bn (BatchNorma  (None, 14, 14, 224)  896        ['block5s_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block5s_drop (Dropout)         (None, 14, 14, 224)  0           ['block5s_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block5s_add (Add)              (None, 14, 14, 224)  0           ['block5s_drop[0][0]',           \n",
      "                                                                  'block5r_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6a_expand_conv (Conv2D)   (None, 14, 14, 1344  301056      ['block5s_add[0][0]']            \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " block6a_expand_bn (BatchNormal  (None, 14, 14, 1344  5376       ['block6a_expand_conv[0][0]']    \n",
      " ization)                       )                                                                 \n",
      "                                                                                                  \n",
      " block6a_expand_activation (Act  (None, 14, 14, 1344  0          ['block6a_expand_bn[0][0]']      \n",
      " ivation)                       )                                                                 \n",
      "                                                                                                  \n",
      " block6a_dwconv2 (DepthwiseConv  (None, 7, 7, 1344)  12096       ['block6a_expand_activation[0][0]\n",
      " 2D)                                                             ']                               \n",
      "                                                                                                  \n",
      " block6a_bn (BatchNormalization  (None, 7, 7, 1344)  5376        ['block6a_dwconv2[0][0]']        \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6a_activation (Activation  (None, 7, 7, 1344)  0           ['block6a_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6a_se_squeeze (GlobalAver  (None, 1344)        0           ['block6a_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block6a_se_reshape (Reshape)   (None, 1, 1, 1344)   0           ['block6a_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block6a_se_reduce (Conv2D)     (None, 1, 1, 56)     75320       ['block6a_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block6a_se_expand (Conv2D)     (None, 1, 1, 1344)   76608       ['block6a_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block6a_se_excite (Multiply)   (None, 7, 7, 1344)   0           ['block6a_activation[0][0]',     \n",
      "                                                                  'block6a_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block6a_project_conv (Conv2D)  (None, 7, 7, 384)    516096      ['block6a_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block6a_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6a_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block6b_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6a_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block6b_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block6b_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block6b_expand_activation (Act  (None, 7, 7, 2304)  0           ['block6b_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block6b_dwconv2 (DepthwiseConv  (None, 7, 7, 2304)  20736       ['block6b_expand_activation[0][0]\n",
      " 2D)                                                             ']                               \n",
      "                                                                                                  \n",
      " block6b_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block6b_dwconv2[0][0]']        \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6b_activation (Activation  (None, 7, 7, 2304)  0           ['block6b_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6b_se_squeeze (GlobalAver  (None, 2304)        0           ['block6b_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block6b_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block6b_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block6b_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block6b_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block6b_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block6b_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block6b_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block6b_activation[0][0]',     \n",
      "                                                                  'block6b_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block6b_project_conv (Conv2D)  (None, 7, 7, 384)    884736      ['block6b_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block6b_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6b_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block6b_drop (Dropout)         (None, 7, 7, 384)    0           ['block6b_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block6b_add (Add)              (None, 7, 7, 384)    0           ['block6b_drop[0][0]',           \n",
      "                                                                  'block6a_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block6c_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6b_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6c_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block6c_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block6c_expand_activation (Act  (None, 7, 7, 2304)  0           ['block6c_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block6c_dwconv2 (DepthwiseConv  (None, 7, 7, 2304)  20736       ['block6c_expand_activation[0][0]\n",
      " 2D)                                                             ']                               \n",
      "                                                                                                  \n",
      " block6c_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block6c_dwconv2[0][0]']        \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6c_activation (Activation  (None, 7, 7, 2304)  0           ['block6c_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6c_se_squeeze (GlobalAver  (None, 2304)        0           ['block6c_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block6c_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block6c_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block6c_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block6c_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block6c_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block6c_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block6c_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block6c_activation[0][0]',     \n",
      "                                                                  'block6c_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block6c_project_conv (Conv2D)  (None, 7, 7, 384)    884736      ['block6c_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block6c_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6c_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block6c_drop (Dropout)         (None, 7, 7, 384)    0           ['block6c_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block6c_add (Add)              (None, 7, 7, 384)    0           ['block6c_drop[0][0]',           \n",
      "                                                                  'block6b_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6d_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6c_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6d_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block6d_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block6d_expand_activation (Act  (None, 7, 7, 2304)  0           ['block6d_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block6d_dwconv2 (DepthwiseConv  (None, 7, 7, 2304)  20736       ['block6d_expand_activation[0][0]\n",
      " 2D)                                                             ']                               \n",
      "                                                                                                  \n",
      " block6d_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block6d_dwconv2[0][0]']        \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6d_activation (Activation  (None, 7, 7, 2304)  0           ['block6d_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6d_se_squeeze (GlobalAver  (None, 2304)        0           ['block6d_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block6d_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block6d_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block6d_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block6d_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block6d_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block6d_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block6d_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block6d_activation[0][0]',     \n",
      "                                                                  'block6d_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block6d_project_conv (Conv2D)  (None, 7, 7, 384)    884736      ['block6d_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block6d_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6d_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block6d_drop (Dropout)         (None, 7, 7, 384)    0           ['block6d_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block6d_add (Add)              (None, 7, 7, 384)    0           ['block6d_drop[0][0]',           \n",
      "                                                                  'block6c_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6e_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6d_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6e_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block6e_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block6e_expand_activation (Act  (None, 7, 7, 2304)  0           ['block6e_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block6e_dwconv2 (DepthwiseConv  (None, 7, 7, 2304)  20736       ['block6e_expand_activation[0][0]\n",
      " 2D)                                                             ']                               \n",
      "                                                                                                  \n",
      " block6e_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block6e_dwconv2[0][0]']        \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6e_activation (Activation  (None, 7, 7, 2304)  0           ['block6e_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6e_se_squeeze (GlobalAver  (None, 2304)        0           ['block6e_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block6e_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block6e_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block6e_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block6e_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block6e_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block6e_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block6e_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block6e_activation[0][0]',     \n",
      "                                                                  'block6e_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block6e_project_conv (Conv2D)  (None, 7, 7, 384)    884736      ['block6e_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block6e_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6e_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block6e_drop (Dropout)         (None, 7, 7, 384)    0           ['block6e_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block6e_add (Add)              (None, 7, 7, 384)    0           ['block6e_drop[0][0]',           \n",
      "                                                                  'block6d_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6f_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6e_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6f_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block6f_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block6f_expand_activation (Act  (None, 7, 7, 2304)  0           ['block6f_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block6f_dwconv2 (DepthwiseConv  (None, 7, 7, 2304)  20736       ['block6f_expand_activation[0][0]\n",
      " 2D)                                                             ']                               \n",
      "                                                                                                  \n",
      " block6f_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block6f_dwconv2[0][0]']        \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6f_activation (Activation  (None, 7, 7, 2304)  0           ['block6f_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6f_se_squeeze (GlobalAver  (None, 2304)        0           ['block6f_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block6f_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block6f_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block6f_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block6f_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block6f_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block6f_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block6f_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block6f_activation[0][0]',     \n",
      "                                                                  'block6f_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block6f_project_conv (Conv2D)  (None, 7, 7, 384)    884736      ['block6f_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block6f_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6f_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block6f_drop (Dropout)         (None, 7, 7, 384)    0           ['block6f_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block6f_add (Add)              (None, 7, 7, 384)    0           ['block6f_drop[0][0]',           \n",
      "                                                                  'block6e_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6g_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6f_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6g_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block6g_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block6g_expand_activation (Act  (None, 7, 7, 2304)  0           ['block6g_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block6g_dwconv2 (DepthwiseConv  (None, 7, 7, 2304)  20736       ['block6g_expand_activation[0][0]\n",
      " 2D)                                                             ']                               \n",
      "                                                                                                  \n",
      " block6g_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block6g_dwconv2[0][0]']        \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6g_activation (Activation  (None, 7, 7, 2304)  0           ['block6g_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6g_se_squeeze (GlobalAver  (None, 2304)        0           ['block6g_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block6g_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block6g_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block6g_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block6g_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block6g_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block6g_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block6g_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block6g_activation[0][0]',     \n",
      "                                                                  'block6g_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block6g_project_conv (Conv2D)  (None, 7, 7, 384)    884736      ['block6g_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block6g_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6g_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block6g_drop (Dropout)         (None, 7, 7, 384)    0           ['block6g_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block6g_add (Add)              (None, 7, 7, 384)    0           ['block6g_drop[0][0]',           \n",
      "                                                                  'block6f_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6h_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6g_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6h_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block6h_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block6h_expand_activation (Act  (None, 7, 7, 2304)  0           ['block6h_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block6h_dwconv2 (DepthwiseConv  (None, 7, 7, 2304)  20736       ['block6h_expand_activation[0][0]\n",
      " 2D)                                                             ']                               \n",
      "                                                                                                  \n",
      " block6h_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block6h_dwconv2[0][0]']        \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6h_activation (Activation  (None, 7, 7, 2304)  0           ['block6h_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6h_se_squeeze (GlobalAver  (None, 2304)        0           ['block6h_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block6h_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block6h_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block6h_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block6h_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block6h_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block6h_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block6h_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block6h_activation[0][0]',     \n",
      "                                                                  'block6h_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block6h_project_conv (Conv2D)  (None, 7, 7, 384)    884736      ['block6h_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block6h_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6h_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block6h_drop (Dropout)         (None, 7, 7, 384)    0           ['block6h_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block6h_add (Add)              (None, 7, 7, 384)    0           ['block6h_drop[0][0]',           \n",
      "                                                                  'block6g_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6i_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6h_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6i_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block6i_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block6i_expand_activation (Act  (None, 7, 7, 2304)  0           ['block6i_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block6i_dwconv2 (DepthwiseConv  (None, 7, 7, 2304)  20736       ['block6i_expand_activation[0][0]\n",
      " 2D)                                                             ']                               \n",
      "                                                                                                  \n",
      " block6i_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block6i_dwconv2[0][0]']        \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6i_activation (Activation  (None, 7, 7, 2304)  0           ['block6i_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6i_se_squeeze (GlobalAver  (None, 2304)        0           ['block6i_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block6i_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block6i_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block6i_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block6i_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block6i_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block6i_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block6i_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block6i_activation[0][0]',     \n",
      "                                                                  'block6i_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block6i_project_conv (Conv2D)  (None, 7, 7, 384)    884736      ['block6i_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block6i_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6i_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block6i_drop (Dropout)         (None, 7, 7, 384)    0           ['block6i_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block6i_add (Add)              (None, 7, 7, 384)    0           ['block6i_drop[0][0]',           \n",
      "                                                                  'block6h_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6j_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6i_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6j_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block6j_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block6j_expand_activation (Act  (None, 7, 7, 2304)  0           ['block6j_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block6j_dwconv2 (DepthwiseConv  (None, 7, 7, 2304)  20736       ['block6j_expand_activation[0][0]\n",
      " 2D)                                                             ']                               \n",
      "                                                                                                  \n",
      " block6j_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block6j_dwconv2[0][0]']        \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6j_activation (Activation  (None, 7, 7, 2304)  0           ['block6j_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6j_se_squeeze (GlobalAver  (None, 2304)        0           ['block6j_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block6j_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block6j_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block6j_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block6j_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block6j_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block6j_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block6j_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block6j_activation[0][0]',     \n",
      "                                                                  'block6j_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block6j_project_conv (Conv2D)  (None, 7, 7, 384)    884736      ['block6j_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block6j_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6j_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block6j_drop (Dropout)         (None, 7, 7, 384)    0           ['block6j_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block6j_add (Add)              (None, 7, 7, 384)    0           ['block6j_drop[0][0]',           \n",
      "                                                                  'block6i_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6k_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6j_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6k_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block6k_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block6k_expand_activation (Act  (None, 7, 7, 2304)  0           ['block6k_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block6k_dwconv2 (DepthwiseConv  (None, 7, 7, 2304)  20736       ['block6k_expand_activation[0][0]\n",
      " 2D)                                                             ']                               \n",
      "                                                                                                  \n",
      " block6k_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block6k_dwconv2[0][0]']        \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6k_activation (Activation  (None, 7, 7, 2304)  0           ['block6k_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6k_se_squeeze (GlobalAver  (None, 2304)        0           ['block6k_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block6k_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block6k_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block6k_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block6k_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block6k_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block6k_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block6k_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block6k_activation[0][0]',     \n",
      "                                                                  'block6k_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block6k_project_conv (Conv2D)  (None, 7, 7, 384)    884736      ['block6k_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block6k_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6k_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block6k_drop (Dropout)         (None, 7, 7, 384)    0           ['block6k_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block6k_add (Add)              (None, 7, 7, 384)    0           ['block6k_drop[0][0]',           \n",
      "                                                                  'block6j_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6l_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6k_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6l_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block6l_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block6l_expand_activation (Act  (None, 7, 7, 2304)  0           ['block6l_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block6l_dwconv2 (DepthwiseConv  (None, 7, 7, 2304)  20736       ['block6l_expand_activation[0][0]\n",
      " 2D)                                                             ']                               \n",
      "                                                                                                  \n",
      " block6l_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block6l_dwconv2[0][0]']        \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6l_activation (Activation  (None, 7, 7, 2304)  0           ['block6l_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6l_se_squeeze (GlobalAver  (None, 2304)        0           ['block6l_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block6l_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block6l_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block6l_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block6l_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block6l_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block6l_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block6l_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block6l_activation[0][0]',     \n",
      "                                                                  'block6l_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block6l_project_conv (Conv2D)  (None, 7, 7, 384)    884736      ['block6l_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block6l_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6l_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block6l_drop (Dropout)         (None, 7, 7, 384)    0           ['block6l_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block6l_add (Add)              (None, 7, 7, 384)    0           ['block6l_drop[0][0]',           \n",
      "                                                                  'block6k_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6m_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6l_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6m_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block6m_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block6m_expand_activation (Act  (None, 7, 7, 2304)  0           ['block6m_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block6m_dwconv2 (DepthwiseConv  (None, 7, 7, 2304)  20736       ['block6m_expand_activation[0][0]\n",
      " 2D)                                                             ']                               \n",
      "                                                                                                  \n",
      " block6m_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block6m_dwconv2[0][0]']        \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6m_activation (Activation  (None, 7, 7, 2304)  0           ['block6m_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6m_se_squeeze (GlobalAver  (None, 2304)        0           ['block6m_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block6m_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block6m_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block6m_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block6m_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block6m_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block6m_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block6m_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block6m_activation[0][0]',     \n",
      "                                                                  'block6m_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block6m_project_conv (Conv2D)  (None, 7, 7, 384)    884736      ['block6m_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block6m_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6m_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block6m_drop (Dropout)         (None, 7, 7, 384)    0           ['block6m_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block6m_add (Add)              (None, 7, 7, 384)    0           ['block6m_drop[0][0]',           \n",
      "                                                                  'block6l_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6n_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6m_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6n_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block6n_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block6n_expand_activation (Act  (None, 7, 7, 2304)  0           ['block6n_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block6n_dwconv2 (DepthwiseConv  (None, 7, 7, 2304)  20736       ['block6n_expand_activation[0][0]\n",
      " 2D)                                                             ']                               \n",
      "                                                                                                  \n",
      " block6n_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block6n_dwconv2[0][0]']        \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6n_activation (Activation  (None, 7, 7, 2304)  0           ['block6n_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6n_se_squeeze (GlobalAver  (None, 2304)        0           ['block6n_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block6n_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block6n_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block6n_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block6n_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block6n_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block6n_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block6n_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block6n_activation[0][0]',     \n",
      "                                                                  'block6n_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block6n_project_conv (Conv2D)  (None, 7, 7, 384)    884736      ['block6n_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block6n_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6n_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block6n_drop (Dropout)         (None, 7, 7, 384)    0           ['block6n_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block6n_add (Add)              (None, 7, 7, 384)    0           ['block6n_drop[0][0]',           \n",
      "                                                                  'block6m_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6o_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6n_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6o_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block6o_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block6o_expand_activation (Act  (None, 7, 7, 2304)  0           ['block6o_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block6o_dwconv2 (DepthwiseConv  (None, 7, 7, 2304)  20736       ['block6o_expand_activation[0][0]\n",
      " 2D)                                                             ']                               \n",
      "                                                                                                  \n",
      " block6o_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block6o_dwconv2[0][0]']        \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6o_activation (Activation  (None, 7, 7, 2304)  0           ['block6o_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6o_se_squeeze (GlobalAver  (None, 2304)        0           ['block6o_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block6o_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block6o_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block6o_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block6o_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block6o_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block6o_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block6o_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block6o_activation[0][0]',     \n",
      "                                                                  'block6o_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block6o_project_conv (Conv2D)  (None, 7, 7, 384)    884736      ['block6o_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block6o_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6o_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block6o_drop (Dropout)         (None, 7, 7, 384)    0           ['block6o_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block6o_add (Add)              (None, 7, 7, 384)    0           ['block6o_drop[0][0]',           \n",
      "                                                                  'block6n_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6p_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6o_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6p_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block6p_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block6p_expand_activation (Act  (None, 7, 7, 2304)  0           ['block6p_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block6p_dwconv2 (DepthwiseConv  (None, 7, 7, 2304)  20736       ['block6p_expand_activation[0][0]\n",
      " 2D)                                                             ']                               \n",
      "                                                                                                  \n",
      " block6p_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block6p_dwconv2[0][0]']        \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6p_activation (Activation  (None, 7, 7, 2304)  0           ['block6p_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6p_se_squeeze (GlobalAver  (None, 2304)        0           ['block6p_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block6p_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block6p_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block6p_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block6p_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block6p_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block6p_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block6p_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block6p_activation[0][0]',     \n",
      "                                                                  'block6p_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block6p_project_conv (Conv2D)  (None, 7, 7, 384)    884736      ['block6p_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block6p_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6p_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block6p_drop (Dropout)         (None, 7, 7, 384)    0           ['block6p_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block6p_add (Add)              (None, 7, 7, 384)    0           ['block6p_drop[0][0]',           \n",
      "                                                                  'block6o_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6q_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6p_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6q_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block6q_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block6q_expand_activation (Act  (None, 7, 7, 2304)  0           ['block6q_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block6q_dwconv2 (DepthwiseConv  (None, 7, 7, 2304)  20736       ['block6q_expand_activation[0][0]\n",
      " 2D)                                                             ']                               \n",
      "                                                                                                  \n",
      " block6q_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block6q_dwconv2[0][0]']        \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6q_activation (Activation  (None, 7, 7, 2304)  0           ['block6q_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6q_se_squeeze (GlobalAver  (None, 2304)        0           ['block6q_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block6q_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block6q_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block6q_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block6q_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block6q_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block6q_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block6q_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block6q_activation[0][0]',     \n",
      "                                                                  'block6q_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block6q_project_conv (Conv2D)  (None, 7, 7, 384)    884736      ['block6q_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block6q_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6q_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block6q_drop (Dropout)         (None, 7, 7, 384)    0           ['block6q_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block6q_add (Add)              (None, 7, 7, 384)    0           ['block6q_drop[0][0]',           \n",
      "                                                                  'block6p_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6r_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6q_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6r_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block6r_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block6r_expand_activation (Act  (None, 7, 7, 2304)  0           ['block6r_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block6r_dwconv2 (DepthwiseConv  (None, 7, 7, 2304)  20736       ['block6r_expand_activation[0][0]\n",
      " 2D)                                                             ']                               \n",
      "                                                                                                  \n",
      " block6r_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block6r_dwconv2[0][0]']        \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6r_activation (Activation  (None, 7, 7, 2304)  0           ['block6r_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6r_se_squeeze (GlobalAver  (None, 2304)        0           ['block6r_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block6r_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block6r_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block6r_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block6r_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block6r_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block6r_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block6r_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block6r_activation[0][0]',     \n",
      "                                                                  'block6r_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block6r_project_conv (Conv2D)  (None, 7, 7, 384)    884736      ['block6r_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block6r_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6r_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block6r_drop (Dropout)         (None, 7, 7, 384)    0           ['block6r_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block6r_add (Add)              (None, 7, 7, 384)    0           ['block6r_drop[0][0]',           \n",
      "                                                                  'block6q_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6s_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6r_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6s_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block6s_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block6s_expand_activation (Act  (None, 7, 7, 2304)  0           ['block6s_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block6s_dwconv2 (DepthwiseConv  (None, 7, 7, 2304)  20736       ['block6s_expand_activation[0][0]\n",
      " 2D)                                                             ']                               \n",
      "                                                                                                  \n",
      " block6s_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block6s_dwconv2[0][0]']        \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6s_activation (Activation  (None, 7, 7, 2304)  0           ['block6s_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6s_se_squeeze (GlobalAver  (None, 2304)        0           ['block6s_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block6s_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block6s_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block6s_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block6s_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block6s_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block6s_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block6s_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block6s_activation[0][0]',     \n",
      "                                                                  'block6s_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block6s_project_conv (Conv2D)  (None, 7, 7, 384)    884736      ['block6s_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block6s_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6s_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block6s_drop (Dropout)         (None, 7, 7, 384)    0           ['block6s_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block6s_add (Add)              (None, 7, 7, 384)    0           ['block6s_drop[0][0]',           \n",
      "                                                                  'block6r_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6t_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6s_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6t_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block6t_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block6t_expand_activation (Act  (None, 7, 7, 2304)  0           ['block6t_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block6t_dwconv2 (DepthwiseConv  (None, 7, 7, 2304)  20736       ['block6t_expand_activation[0][0]\n",
      " 2D)                                                             ']                               \n",
      "                                                                                                  \n",
      " block6t_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block6t_dwconv2[0][0]']        \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6t_activation (Activation  (None, 7, 7, 2304)  0           ['block6t_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6t_se_squeeze (GlobalAver  (None, 2304)        0           ['block6t_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block6t_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block6t_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block6t_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block6t_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block6t_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block6t_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block6t_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block6t_activation[0][0]',     \n",
      "                                                                  'block6t_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block6t_project_conv (Conv2D)  (None, 7, 7, 384)    884736      ['block6t_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block6t_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6t_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block6t_drop (Dropout)         (None, 7, 7, 384)    0           ['block6t_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block6t_add (Add)              (None, 7, 7, 384)    0           ['block6t_drop[0][0]',           \n",
      "                                                                  'block6s_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6u_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6t_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6u_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block6u_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block6u_expand_activation (Act  (None, 7, 7, 2304)  0           ['block6u_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block6u_dwconv2 (DepthwiseConv  (None, 7, 7, 2304)  20736       ['block6u_expand_activation[0][0]\n",
      " 2D)                                                             ']                               \n",
      "                                                                                                  \n",
      " block6u_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block6u_dwconv2[0][0]']        \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6u_activation (Activation  (None, 7, 7, 2304)  0           ['block6u_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6u_se_squeeze (GlobalAver  (None, 2304)        0           ['block6u_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block6u_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block6u_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block6u_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block6u_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block6u_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block6u_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block6u_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block6u_activation[0][0]',     \n",
      "                                                                  'block6u_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block6u_project_conv (Conv2D)  (None, 7, 7, 384)    884736      ['block6u_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block6u_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6u_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block6u_drop (Dropout)         (None, 7, 7, 384)    0           ['block6u_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block6u_add (Add)              (None, 7, 7, 384)    0           ['block6u_drop[0][0]',           \n",
      "                                                                  'block6t_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6v_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6u_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6v_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block6v_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block6v_expand_activation (Act  (None, 7, 7, 2304)  0           ['block6v_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block6v_dwconv2 (DepthwiseConv  (None, 7, 7, 2304)  20736       ['block6v_expand_activation[0][0]\n",
      " 2D)                                                             ']                               \n",
      "                                                                                                  \n",
      " block6v_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block6v_dwconv2[0][0]']        \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6v_activation (Activation  (None, 7, 7, 2304)  0           ['block6v_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6v_se_squeeze (GlobalAver  (None, 2304)        0           ['block6v_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block6v_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block6v_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block6v_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block6v_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block6v_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block6v_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block6v_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block6v_activation[0][0]',     \n",
      "                                                                  'block6v_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block6v_project_conv (Conv2D)  (None, 7, 7, 384)    884736      ['block6v_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block6v_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6v_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block6v_drop (Dropout)         (None, 7, 7, 384)    0           ['block6v_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block6v_add (Add)              (None, 7, 7, 384)    0           ['block6v_drop[0][0]',           \n",
      "                                                                  'block6u_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6w_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6v_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6w_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block6w_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block6w_expand_activation (Act  (None, 7, 7, 2304)  0           ['block6w_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block6w_dwconv2 (DepthwiseConv  (None, 7, 7, 2304)  20736       ['block6w_expand_activation[0][0]\n",
      " 2D)                                                             ']                               \n",
      "                                                                                                  \n",
      " block6w_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block6w_dwconv2[0][0]']        \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6w_activation (Activation  (None, 7, 7, 2304)  0           ['block6w_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6w_se_squeeze (GlobalAver  (None, 2304)        0           ['block6w_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block6w_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block6w_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block6w_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block6w_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block6w_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block6w_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block6w_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block6w_activation[0][0]',     \n",
      "                                                                  'block6w_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block6w_project_conv (Conv2D)  (None, 7, 7, 384)    884736      ['block6w_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block6w_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6w_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block6w_drop (Dropout)         (None, 7, 7, 384)    0           ['block6w_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block6w_add (Add)              (None, 7, 7, 384)    0           ['block6w_drop[0][0]',           \n",
      "                                                                  'block6v_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6x_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6w_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6x_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block6x_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block6x_expand_activation (Act  (None, 7, 7, 2304)  0           ['block6x_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block6x_dwconv2 (DepthwiseConv  (None, 7, 7, 2304)  20736       ['block6x_expand_activation[0][0]\n",
      " 2D)                                                             ']                               \n",
      "                                                                                                  \n",
      " block6x_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block6x_dwconv2[0][0]']        \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6x_activation (Activation  (None, 7, 7, 2304)  0           ['block6x_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6x_se_squeeze (GlobalAver  (None, 2304)        0           ['block6x_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block6x_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block6x_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block6x_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block6x_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block6x_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block6x_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block6x_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block6x_activation[0][0]',     \n",
      "                                                                  'block6x_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block6x_project_conv (Conv2D)  (None, 7, 7, 384)    884736      ['block6x_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block6x_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6x_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block6x_drop (Dropout)         (None, 7, 7, 384)    0           ['block6x_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block6x_add (Add)              (None, 7, 7, 384)    0           ['block6x_drop[0][0]',           \n",
      "                                                                  'block6w_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6y_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6x_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6y_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block6y_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block6y_expand_activation (Act  (None, 7, 7, 2304)  0           ['block6y_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block6y_dwconv2 (DepthwiseConv  (None, 7, 7, 2304)  20736       ['block6y_expand_activation[0][0]\n",
      " 2D)                                                             ']                               \n",
      "                                                                                                  \n",
      " block6y_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block6y_dwconv2[0][0]']        \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6y_activation (Activation  (None, 7, 7, 2304)  0           ['block6y_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6y_se_squeeze (GlobalAver  (None, 2304)        0           ['block6y_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block6y_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block6y_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block6y_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block6y_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block6y_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block6y_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block6y_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block6y_activation[0][0]',     \n",
      "                                                                  'block6y_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block6y_project_conv (Conv2D)  (None, 7, 7, 384)    884736      ['block6y_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block6y_project_bn (BatchNorma  (None, 7, 7, 384)   1536        ['block6y_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block6y_drop (Dropout)         (None, 7, 7, 384)    0           ['block6y_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block6y_add (Add)              (None, 7, 7, 384)    0           ['block6y_drop[0][0]',           \n",
      "                                                                  'block6x_add[0][0]']            \n",
      "                                                                                                  \n",
      " block7a_expand_conv (Conv2D)   (None, 7, 7, 2304)   884736      ['block6y_add[0][0]']            \n",
      "                                                                                                  \n",
      " block7a_expand_bn (BatchNormal  (None, 7, 7, 2304)  9216        ['block7a_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block7a_expand_activation (Act  (None, 7, 7, 2304)  0           ['block7a_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block7a_dwconv2 (DepthwiseConv  (None, 7, 7, 2304)  20736       ['block7a_expand_activation[0][0]\n",
      " 2D)                                                             ']                               \n",
      "                                                                                                  \n",
      " block7a_bn (BatchNormalization  (None, 7, 7, 2304)  9216        ['block7a_dwconv2[0][0]']        \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block7a_activation (Activation  (None, 7, 7, 2304)  0           ['block7a_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block7a_se_squeeze (GlobalAver  (None, 2304)        0           ['block7a_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block7a_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block7a_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block7a_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block7a_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block7a_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block7a_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block7a_se_excite (Multiply)   (None, 7, 7, 2304)   0           ['block7a_activation[0][0]',     \n",
      "                                                                  'block7a_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block7a_project_conv (Conv2D)  (None, 7, 7, 640)    1474560     ['block7a_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block7a_project_bn (BatchNorma  (None, 7, 7, 640)   2560        ['block7a_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block7b_expand_conv (Conv2D)   (None, 7, 7, 3840)   2457600     ['block7a_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block7b_expand_bn (BatchNormal  (None, 7, 7, 3840)  15360       ['block7b_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block7b_expand_activation (Act  (None, 7, 7, 3840)  0           ['block7b_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block7b_dwconv2 (DepthwiseConv  (None, 7, 7, 3840)  34560       ['block7b_expand_activation[0][0]\n",
      " 2D)                                                             ']                               \n",
      "                                                                                                  \n",
      " block7b_bn (BatchNormalization  (None, 7, 7, 3840)  15360       ['block7b_dwconv2[0][0]']        \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block7b_activation (Activation  (None, 7, 7, 3840)  0           ['block7b_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block7b_se_squeeze (GlobalAver  (None, 3840)        0           ['block7b_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block7b_se_reshape (Reshape)   (None, 1, 1, 3840)   0           ['block7b_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block7b_se_reduce (Conv2D)     (None, 1, 1, 160)    614560      ['block7b_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block7b_se_expand (Conv2D)     (None, 1, 1, 3840)   618240      ['block7b_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block7b_se_excite (Multiply)   (None, 7, 7, 3840)   0           ['block7b_activation[0][0]',     \n",
      "                                                                  'block7b_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block7b_project_conv (Conv2D)  (None, 7, 7, 640)    2457600     ['block7b_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block7b_project_bn (BatchNorma  (None, 7, 7, 640)   2560        ['block7b_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block7b_drop (Dropout)         (None, 7, 7, 640)    0           ['block7b_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block7b_add (Add)              (None, 7, 7, 640)    0           ['block7b_drop[0][0]',           \n",
      "                                                                  'block7a_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block7c_expand_conv (Conv2D)   (None, 7, 7, 3840)   2457600     ['block7b_add[0][0]']            \n",
      "                                                                                                  \n",
      " block7c_expand_bn (BatchNormal  (None, 7, 7, 3840)  15360       ['block7c_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block7c_expand_activation (Act  (None, 7, 7, 3840)  0           ['block7c_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block7c_dwconv2 (DepthwiseConv  (None, 7, 7, 3840)  34560       ['block7c_expand_activation[0][0]\n",
      " 2D)                                                             ']                               \n",
      "                                                                                                  \n",
      " block7c_bn (BatchNormalization  (None, 7, 7, 3840)  15360       ['block7c_dwconv2[0][0]']        \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block7c_activation (Activation  (None, 7, 7, 3840)  0           ['block7c_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block7c_se_squeeze (GlobalAver  (None, 3840)        0           ['block7c_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block7c_se_reshape (Reshape)   (None, 1, 1, 3840)   0           ['block7c_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block7c_se_reduce (Conv2D)     (None, 1, 1, 160)    614560      ['block7c_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block7c_se_expand (Conv2D)     (None, 1, 1, 3840)   618240      ['block7c_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block7c_se_excite (Multiply)   (None, 7, 7, 3840)   0           ['block7c_activation[0][0]',     \n",
      "                                                                  'block7c_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block7c_project_conv (Conv2D)  (None, 7, 7, 640)    2457600     ['block7c_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block7c_project_bn (BatchNorma  (None, 7, 7, 640)   2560        ['block7c_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block7c_drop (Dropout)         (None, 7, 7, 640)    0           ['block7c_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block7c_add (Add)              (None, 7, 7, 640)    0           ['block7c_drop[0][0]',           \n",
      "                                                                  'block7b_add[0][0]']            \n",
      "                                                                                                  \n",
      " block7d_expand_conv (Conv2D)   (None, 7, 7, 3840)   2457600     ['block7c_add[0][0]']            \n",
      "                                                                                                  \n",
      " block7d_expand_bn (BatchNormal  (None, 7, 7, 3840)  15360       ['block7d_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block7d_expand_activation (Act  (None, 7, 7, 3840)  0           ['block7d_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block7d_dwconv2 (DepthwiseConv  (None, 7, 7, 3840)  34560       ['block7d_expand_activation[0][0]\n",
      " 2D)                                                             ']                               \n",
      "                                                                                                  \n",
      " block7d_bn (BatchNormalization  (None, 7, 7, 3840)  15360       ['block7d_dwconv2[0][0]']        \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block7d_activation (Activation  (None, 7, 7, 3840)  0           ['block7d_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block7d_se_squeeze (GlobalAver  (None, 3840)        0           ['block7d_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block7d_se_reshape (Reshape)   (None, 1, 1, 3840)   0           ['block7d_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block7d_se_reduce (Conv2D)     (None, 1, 1, 160)    614560      ['block7d_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block7d_se_expand (Conv2D)     (None, 1, 1, 3840)   618240      ['block7d_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block7d_se_excite (Multiply)   (None, 7, 7, 3840)   0           ['block7d_activation[0][0]',     \n",
      "                                                                  'block7d_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block7d_project_conv (Conv2D)  (None, 7, 7, 640)    2457600     ['block7d_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block7d_project_bn (BatchNorma  (None, 7, 7, 640)   2560        ['block7d_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block7d_drop (Dropout)         (None, 7, 7, 640)    0           ['block7d_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block7d_add (Add)              (None, 7, 7, 640)    0           ['block7d_drop[0][0]',           \n",
      "                                                                  'block7c_add[0][0]']            \n",
      "                                                                                                  \n",
      " block7e_expand_conv (Conv2D)   (None, 7, 7, 3840)   2457600     ['block7d_add[0][0]']            \n",
      "                                                                                                  \n",
      " block7e_expand_bn (BatchNormal  (None, 7, 7, 3840)  15360       ['block7e_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block7e_expand_activation (Act  (None, 7, 7, 3840)  0           ['block7e_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block7e_dwconv2 (DepthwiseConv  (None, 7, 7, 3840)  34560       ['block7e_expand_activation[0][0]\n",
      " 2D)                                                             ']                               \n",
      "                                                                                                  \n",
      " block7e_bn (BatchNormalization  (None, 7, 7, 3840)  15360       ['block7e_dwconv2[0][0]']        \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block7e_activation (Activation  (None, 7, 7, 3840)  0           ['block7e_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block7e_se_squeeze (GlobalAver  (None, 3840)        0           ['block7e_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block7e_se_reshape (Reshape)   (None, 1, 1, 3840)   0           ['block7e_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block7e_se_reduce (Conv2D)     (None, 1, 1, 160)    614560      ['block7e_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block7e_se_expand (Conv2D)     (None, 1, 1, 3840)   618240      ['block7e_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block7e_se_excite (Multiply)   (None, 7, 7, 3840)   0           ['block7e_activation[0][0]',     \n",
      "                                                                  'block7e_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block7e_project_conv (Conv2D)  (None, 7, 7, 640)    2457600     ['block7e_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block7e_project_bn (BatchNorma  (None, 7, 7, 640)   2560        ['block7e_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block7e_drop (Dropout)         (None, 7, 7, 640)    0           ['block7e_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block7e_add (Add)              (None, 7, 7, 640)    0           ['block7e_drop[0][0]',           \n",
      "                                                                  'block7d_add[0][0]']            \n",
      "                                                                                                  \n",
      " block7f_expand_conv (Conv2D)   (None, 7, 7, 3840)   2457600     ['block7e_add[0][0]']            \n",
      "                                                                                                  \n",
      " block7f_expand_bn (BatchNormal  (None, 7, 7, 3840)  15360       ['block7f_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block7f_expand_activation (Act  (None, 7, 7, 3840)  0           ['block7f_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block7f_dwconv2 (DepthwiseConv  (None, 7, 7, 3840)  34560       ['block7f_expand_activation[0][0]\n",
      " 2D)                                                             ']                               \n",
      "                                                                                                  \n",
      " block7f_bn (BatchNormalization  (None, 7, 7, 3840)  15360       ['block7f_dwconv2[0][0]']        \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block7f_activation (Activation  (None, 7, 7, 3840)  0           ['block7f_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block7f_se_squeeze (GlobalAver  (None, 3840)        0           ['block7f_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block7f_se_reshape (Reshape)   (None, 1, 1, 3840)   0           ['block7f_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block7f_se_reduce (Conv2D)     (None, 1, 1, 160)    614560      ['block7f_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block7f_se_expand (Conv2D)     (None, 1, 1, 3840)   618240      ['block7f_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block7f_se_excite (Multiply)   (None, 7, 7, 3840)   0           ['block7f_activation[0][0]',     \n",
      "                                                                  'block7f_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block7f_project_conv (Conv2D)  (None, 7, 7, 640)    2457600     ['block7f_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block7f_project_bn (BatchNorma  (None, 7, 7, 640)   2560        ['block7f_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block7f_drop (Dropout)         (None, 7, 7, 640)    0           ['block7f_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block7f_add (Add)              (None, 7, 7, 640)    0           ['block7f_drop[0][0]',           \n",
      "                                                                  'block7e_add[0][0]']            \n",
      "                                                                                                  \n",
      " block7g_expand_conv (Conv2D)   (None, 7, 7, 3840)   2457600     ['block7f_add[0][0]']            \n",
      "                                                                                                  \n",
      " block7g_expand_bn (BatchNormal  (None, 7, 7, 3840)  15360       ['block7g_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block7g_expand_activation (Act  (None, 7, 7, 3840)  0           ['block7g_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block7g_dwconv2 (DepthwiseConv  (None, 7, 7, 3840)  34560       ['block7g_expand_activation[0][0]\n",
      " 2D)                                                             ']                               \n",
      "                                                                                                  \n",
      " block7g_bn (BatchNormalization  (None, 7, 7, 3840)  15360       ['block7g_dwconv2[0][0]']        \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block7g_activation (Activation  (None, 7, 7, 3840)  0           ['block7g_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block7g_se_squeeze (GlobalAver  (None, 3840)        0           ['block7g_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block7g_se_reshape (Reshape)   (None, 1, 1, 3840)   0           ['block7g_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block7g_se_reduce (Conv2D)     (None, 1, 1, 160)    614560      ['block7g_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block7g_se_expand (Conv2D)     (None, 1, 1, 3840)   618240      ['block7g_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block7g_se_excite (Multiply)   (None, 7, 7, 3840)   0           ['block7g_activation[0][0]',     \n",
      "                                                                  'block7g_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block7g_project_conv (Conv2D)  (None, 7, 7, 640)    2457600     ['block7g_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block7g_project_bn (BatchNorma  (None, 7, 7, 640)   2560        ['block7g_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block7g_drop (Dropout)         (None, 7, 7, 640)    0           ['block7g_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block7g_add (Add)              (None, 7, 7, 640)    0           ['block7g_drop[0][0]',           \n",
      "                                                                  'block7f_add[0][0]']            \n",
      "                                                                                                  \n",
      " top_conv (Conv2D)              (None, 7, 7, 1280)   819200      ['block7g_add[0][0]']            \n",
      "                                                                                                  \n",
      " top_bn (BatchNormalization)    (None, 7, 7, 1280)   5120        ['top_conv[0][0]']               \n",
      "                                                                                                  \n",
      " top_activation (Activation)    (None, 7, 7, 1280)   0           ['top_bn[0][0]']                 \n",
      "                                                                                                  \n",
      " flatten (Flatten)              (None, 62720)        0           ['top_activation[0][0]']         \n",
      "                                                                                                  \n",
      " dropout (Dropout)              (None, 62720)        0           ['flatten[0][0]']                \n",
      "                                                                                                  \n",
      " dense (Dense)                  (None, 3)            188163      ['dropout[0][0]']                \n",
      "                                                                                                  \n",
      "==================================================================================================\n",
      "Total params: 117,935,011\n",
      "Trainable params: 188,163\n",
      "Non-trainable params: 117,746,848\n",
      "__________________________________________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "executionInfo": {
     "elapsed": 1233,
     "status": "ok",
     "timestamp": 1676961921916,
     "user": {
      "displayName": "Trang Phạm",
      "userId": "09872832977707306821"
     },
     "user_tz": -420
    },
    "id": "fzBk0U_s2o7H"
   },
   "outputs": [],
   "source": [
    "model.compile(loss=\"binary_crossentropy\",optimizer=\"adam\",metrics=['accuracy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 672390,
     "status": "ok",
     "timestamp": 1676969952447,
     "user": {
      "displayName": "Trang Phạm",
      "userId": "09872832977707306821"
     },
     "user_tz": -420
    },
    "id": "rfjfmxKb84eX",
    "outputId": "c0041e8f-7a50-4709-c141-ab4b0ad90ad4"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/30\n",
      "20/20 [==============================] - 319s 15s/step - loss: 4.6258 - accuracy: 0.3938 - val_loss: 2.6585 - val_accuracy: 0.5171\n",
      "Epoch 2/30\n",
      "20/20 [==============================] - 260s 14s/step - loss: 1.4418 - accuracy: 0.3594 - val_loss: 1.5259 - val_accuracy: 0.2135\n",
      "Epoch 3/30\n",
      "20/20 [==============================] - 260s 14s/step - loss: 1.0117 - accuracy: 0.4109 - val_loss: 0.7691 - val_accuracy: 0.2207\n",
      "Epoch 4/30\n",
      "20/20 [==============================] - 257s 13s/step - loss: 0.8407 - accuracy: 0.4328 - val_loss: 0.8115 - val_accuracy: 0.5940\n",
      "Epoch 5/30\n",
      "20/20 [==============================] - 260s 14s/step - loss: 0.8624 - accuracy: 0.4500 - val_loss: 0.9082 - val_accuracy: 0.2810\n",
      "Epoch 6/30\n",
      "20/20 [==============================] - 258s 14s/step - loss: 1.0799 - accuracy: 0.4234 - val_loss: 1.5195 - val_accuracy: 0.6370\n",
      "Epoch 7/30\n",
      "20/20 [==============================] - 257s 14s/step - loss: 1.3992 - accuracy: 0.3906 - val_loss: 0.8346 - val_accuracy: 0.5979\n",
      "Epoch 8/30\n",
      "20/20 [==============================] - 273s 14s/step - loss: 0.9169 - accuracy: 0.4656 - val_loss: 0.6323 - val_accuracy: 0.6259\n",
      "Epoch 9/30\n",
      "20/20 [==============================] - 273s 14s/step - loss: 0.8295 - accuracy: 0.5141 - val_loss: 0.8921 - val_accuracy: 0.4228\n",
      "Epoch 10/30\n",
      "20/20 [==============================] - 274s 14s/step - loss: 0.7457 - accuracy: 0.5391 - val_loss: 0.6793 - val_accuracy: 0.5679\n",
      "Epoch 11/30\n",
      "20/20 [==============================] - 256s 13s/step - loss: 0.9045 - accuracy: 0.5156 - val_loss: 0.8273 - val_accuracy: 0.4327\n",
      "Epoch 12/30\n",
      "20/20 [==============================] - 257s 13s/step - loss: 1.0347 - accuracy: 0.4516 - val_loss: 0.8478 - val_accuracy: 0.6432\n",
      "Epoch 13/30\n",
      "20/20 [==============================] - 260s 14s/step - loss: 0.7483 - accuracy: 0.5234 - val_loss: 0.4939 - val_accuracy: 0.6387\n",
      "Epoch 14/30\n",
      "20/20 [==============================] - 259s 14s/step - loss: 0.8498 - accuracy: 0.5109 - val_loss: 0.5187 - val_accuracy: 0.6654\n",
      "Epoch 15/30\n",
      "20/20 [==============================] - 255s 13s/step - loss: 0.5591 - accuracy: 0.6203 - val_loss: 0.4980 - val_accuracy: 0.6532\n",
      "Epoch 16/30\n",
      "20/20 [==============================] - 251s 13s/step - loss: 0.5707 - accuracy: 0.6062 - val_loss: 0.4580 - val_accuracy: 0.6742\n",
      "Epoch 17/30\n",
      "20/20 [==============================] - 255s 13s/step - loss: 0.6055 - accuracy: 0.5875 - val_loss: 0.4656 - val_accuracy: 0.6515\n",
      "Epoch 18/30\n",
      "20/20 [==============================] - 274s 14s/step - loss: 0.8191 - accuracy: 0.5437 - val_loss: 0.6839 - val_accuracy: 0.6625\n",
      "Epoch 19/30\n",
      "20/20 [==============================] - 253s 13s/step - loss: 0.8078 - accuracy: 0.5703 - val_loss: 1.2247 - val_accuracy: 0.6218\n",
      "Epoch 20/30\n",
      "20/20 [==============================] - 251s 13s/step - loss: 1.0669 - accuracy: 0.4688 - val_loss: 0.9599 - val_accuracy: 0.4174\n",
      "Epoch 21/30\n",
      "20/20 [==============================] - 252s 13s/step - loss: 1.0464 - accuracy: 0.4688 - val_loss: 0.9193 - val_accuracy: 0.4343\n",
      "Epoch 22/30\n",
      "20/20 [==============================] - 254s 13s/step - loss: 0.7270 - accuracy: 0.5609 - val_loss: 0.4357 - val_accuracy: 0.6967\n",
      "Epoch 23/30\n",
      "20/20 [==============================] - 252s 13s/step - loss: 0.6001 - accuracy: 0.6125 - val_loss: 0.4897 - val_accuracy: 0.6676\n",
      "Epoch 24/30\n",
      "20/20 [==============================] - 253s 13s/step - loss: 0.5845 - accuracy: 0.6375 - val_loss: 0.4907 - val_accuracy: 0.6867\n",
      "Epoch 25/30\n",
      "20/20 [==============================] - 254s 13s/step - loss: 0.7442 - accuracy: 0.5469 - val_loss: 0.4107 - val_accuracy: 0.6768\n",
      "Epoch 26/30\n",
      "20/20 [==============================] - 250s 13s/step - loss: 0.7882 - accuracy: 0.5188 - val_loss: 0.5499 - val_accuracy: 0.5956\n",
      "Epoch 27/30\n",
      "20/20 [==============================] - 274s 14s/step - loss: 0.9073 - accuracy: 0.5203 - val_loss: 0.5558 - val_accuracy: 0.6407\n",
      "Epoch 28/30\n",
      "20/20 [==============================] - 247s 13s/step - loss: 0.6744 - accuracy: 0.5656 - val_loss: 0.7795 - val_accuracy: 0.6357\n",
      "Epoch 29/30\n",
      "20/20 [==============================] - 248s 13s/step - loss: 0.7715 - accuracy: 0.5188 - val_loss: 0.4425 - val_accuracy: 0.6788\n",
      "Epoch 30/30\n",
      "20/20 [==============================] - 250s 13s/step - loss: 0.6861 - accuracy: 0.5859 - val_loss: 0.4683 - val_accuracy: 0.6552\n"
     ]
    }
   ],
   "source": [
    "efficientNetV2L = model.fit(training_generator,epochs=30,steps_per_epoch=20,validation_data=validation_generator)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 477
    },
    "executionInfo": {
     "elapsed": 1613,
     "status": "ok",
     "timestamp": 1676969972920,
     "user": {
      "displayName": "Trang Phạm",
      "userId": "09872832977707306821"
     },
     "user_tz": -420
    },
    "id": "P6bB5B1Ggmbp",
    "outputId": "664b2efe-5200-4b31-9c7b-8b5c9012c3a0"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Accuracy evolution')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1152 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20, 16))\n",
    "\n",
    "plt.subplot(2, 2, 1)\n",
    "plt.plot(model.history.history['loss'], label='Loss')\n",
    "plt.plot(model.history.history['val_loss'], label='val_Loss')\n",
    "plt.legend()\n",
    "plt.grid()\n",
    "plt.title('Loss evolution')\n",
    "\n",
    "plt.subplot(2, 2, 2)\n",
    "plt.plot(model.history.history['accuracy'], label='accuracy')\n",
    "plt.plot(model.history.history['val_accuracy'], label='val_accuracy')\n",
    "plt.legend()\n",
    "plt.grid()\n",
    "plt.title('Accuracy evolution')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "executionInfo": {
     "elapsed": 6819,
     "status": "ok",
     "timestamp": 1676969992984,
     "user": {
      "displayName": "Trang Phạm",
      "userId": "09872832977707306821"
     },
     "user_tz": -420
    },
    "id": "QnwSXpKxkJ1e"
   },
   "outputs": [],
   "source": [
    "model.save('EfficientV2.h5')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "M4bUp2FTkVuo"
   },
   "outputs": [],
   "source": [
    "%cd /content/drive/MyDrive/dataincrease\n",
    "from keras import models\n",
    "model = models.load_model('EfficientV2.h5')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 88868,
     "status": "ok",
     "timestamp": 1676970086455,
     "user": {
      "displayName": "Trang Phạm",
      "userId": "09872832977707306821"
     },
     "user_tz": -420
    },
    "id": "ZdHu7j0xnKpf",
    "outputId": "40031f94-3d79-4ae9-951b-aa2e36cec4f3"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 97/97 [01:28<00:00,  1.10it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(3136, 224, 224, 3) (3136, 3)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "batch_size = 32\n",
    "#!pip install tqdm\n",
    "import tqdm\n",
    "validation_generator.reset()\n",
    "X_test, y_test = next(validation_generator)\n",
    "for i in tqdm.tqdm(range(int(validation_generator.n/batch_size)-400)): \n",
    "  img, label = next(validation_generator)\n",
    "  X_test = np.append(X_test, img, axis=0 )\n",
    "  y_test = np.append(y_test, label, axis=0)\n",
    "print(X_test.shape, y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "execution": {
     "iopub.execute_input": "2020-11-14T20:34:16.551443Z",
     "iopub.status.busy": "2020-11-14T20:34:16.550753Z",
     "iopub.status.idle": "2020-11-14T20:34:17.288221Z",
     "shell.execute_reply": "2020-11-14T20:34:17.287474Z"
    },
    "executionInfo": {
     "elapsed": 44067,
     "status": "ok",
     "timestamp": 1676970139766,
     "user": {
      "displayName": "Trang Phạm",
      "userId": "09872832977707306821"
     },
     "user_tz": -420
    },
    "id": "xPj14NBFvXv2",
    "outputId": "b56493c7-7a77-426e-a7a3-b7ad98d8fe2c",
    "papermill": {
     "duration": 11.452942,
     "end_time": "2020-11-14T20:34:17.288341",
     "exception": false,
     "start_time": "2020-11-14T20:34:05.835399",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "98/98 [==============================] - 42s 366ms/step\n",
      "[[0.06198356 0.00396203 0.9340544 ]\n",
      " [0.21938777 0.02992724 0.750685  ]\n",
      " [0.01752382 0.9197812  0.06269499]\n",
      " ...\n",
      " [0.04620731 0.00767584 0.94611686]\n",
      " [0.20757873 0.62923706 0.16318429]\n",
      " [0.00603135 0.97454596 0.01942265]]\n"
     ]
    }
   ],
   "source": [
    "#predicted_classes = model.predict_classes(X_test)\n",
    "\n",
    "y_predict=model.predict(X_test) \n",
    "#y_predict.extend(model.predict(X_test) )\n",
    "predicted_classes=np.argmax(y_predict,axis=1)\n",
    "print(y_predict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "executionInfo": {
     "elapsed": 263,
     "status": "ok",
     "timestamp": 1676970151928,
     "user": {
      "displayName": "Trang Phạm",
      "userId": "09872832977707306821"
     },
     "user_tz": -420
    },
    "id": "CQKFYyhJm_wh"
   },
   "outputs": [],
   "source": [
    "y_test = np.argmax(y_test, axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 610
    },
    "executionInfo": {
     "elapsed": 1539,
     "status": "ok",
     "timestamp": 1676970156092,
     "user": {
      "displayName": "Trang Phạm",
      "userId": "09872832977707306821"
     },
     "user_tz": -420
    },
    "id": "GamoAqtIuKIJ",
    "outputId": "bfd13c1d-51f5-4cb8-ad62-bf826019b155"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f54bc725f40>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "from sklearn.metrics import confusion_matrix\n",
    "cm = confusion_matrix(y_test, predicted_classes)\n",
    "plt.figure(figsize = (10,10))\n",
    "sns.heatmap(cm, annot=True, cmap = 'Pastel1', fmt='g')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 143
    },
    "executionInfo": {
     "elapsed": 462,
     "status": "ok",
     "timestamp": 1676970160813,
     "user": {
      "displayName": "Trang Phạm",
      "userId": "09872832977707306821"
     },
     "user_tz": -420
    },
    "id": "hZpUhcfxulXT",
    "outputId": "d07b2b56-9b03-4d4b-e487-5efe91237e3c"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "  <div id=\"df-7b90c597-83f8-4a73-b653-6c9f09941ce7\">\n",
       "    <div class=\"colab-df-container\">\n",
       "      <div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Predicted Accessories</th>\n",
       "      <th>Predicted Apparel</th>\n",
       "      <th>Predicted Footwear</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Actually Accessories</th>\n",
       "      <td>78</td>\n",
       "      <td>176</td>\n",
       "      <td>590</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Actually Apparel</th>\n",
       "      <td>9</td>\n",
       "      <td>1361</td>\n",
       "      <td>262</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Actually Footwear</th>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>653</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-7b90c597-83f8-4a73-b653-6c9f09941ce7')\"\n",
       "              title=\"Convert this dataframe to an interactive table.\"\n",
       "              style=\"display:none;\">\n",
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       "  </svg>\n",
       "      </button>\n",
       "      \n",
       "  <style>\n",
       "    .colab-df-container {\n",
       "      display:flex;\n",
       "      flex-wrap:wrap;\n",
       "      gap: 12px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert {\n",
       "      background-color: #E8F0FE;\n",
       "      border: none;\n",
       "      border-radius: 50%;\n",
       "      cursor: pointer;\n",
       "      display: none;\n",
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       "      height: 32px;\n",
       "      padding: 0 0 0 0;\n",
       "      width: 32px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert:hover {\n",
       "      background-color: #E2EBFA;\n",
       "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
       "      fill: #174EA6;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert {\n",
       "      background-color: #3B4455;\n",
       "      fill: #D2E3FC;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert:hover {\n",
       "      background-color: #434B5C;\n",
       "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
       "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
       "      fill: #FFFFFF;\n",
       "    }\n",
       "  </style>\n",
       "\n",
       "      <script>\n",
       "        const buttonEl =\n",
       "          document.querySelector('#df-7b90c597-83f8-4a73-b653-6c9f09941ce7 button.colab-df-convert');\n",
       "        buttonEl.style.display =\n",
       "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
       "\n",
       "        async function convertToInteractive(key) {\n",
       "          const element = document.querySelector('#df-7b90c597-83f8-4a73-b653-6c9f09941ce7');\n",
       "          const dataTable =\n",
       "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
       "                                                     [key], {});\n",
       "          if (!dataTable) return;\n",
       "\n",
       "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
       "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
       "            + ' to learn more about interactive tables.';\n",
       "          element.innerHTML = '';\n",
       "          dataTable['output_type'] = 'display_data';\n",
       "          await google.colab.output.renderOutput(dataTable, element);\n",
       "          const docLink = document.createElement('div');\n",
       "          docLink.innerHTML = docLinkHtml;\n",
       "          element.appendChild(docLink);\n",
       "        }\n",
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       "    </div>\n",
       "  </div>\n",
       "  "
      ],
      "text/plain": [
       "                      Predicted Accessories  Predicted Apparel  \\\n",
       "Actually Accessories                     78                176   \n",
       "Actually Apparel                          9               1361   \n",
       "Actually Footwear                         1                  6   \n",
       "\n",
       "                      Predicted Footwear  \n",
       "Actually Accessories                 590  \n",
       "Actually Apparel                     262  \n",
       "Actually Footwear                    653  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cm_df = pd.DataFrame(cm)\n",
    "cm_df.columns = [ 'Predicted Accessories','Predicted Apparel', 'Predicted Footwear']\n",
    "cm_final_df = cm_df.rename(index={0: 'Actually Accessories', 1: 'Actually Apparel', 2: 'Actually Footwear'})\n",
    "cm_final_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
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     "status": "ok",
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    "id": "mcdW1BjduxD3",
    "outputId": "07bd26cf-b7a0-4c5b-c315-75617de850b0"
   },
   "outputs": [
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       "      <th>Precision</th>\n",
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      "text/plain": [
       "   Precision    Recall  F1_score\n",
       "0     0.7341  0.638586  0.542646"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.metrics import precision_score\n",
    "from sklearn.metrics import recall_score\n",
    "from sklearn.metrics import f1_score\n",
    "\n",
    "Precision = precision_score(y_test, predicted_classes,average='macro')\n",
    "Recall = recall_score(y_test, predicted_classes,average='macro')\n",
    "F1_score = f1_score(y_test, predicted_classes, average='macro')\n",
    "\n",
    "df_metrix = pd.DataFrame(data = [(Precision, Recall, F1_score)], columns = ['Precision', 'Recall', 'F1_score'])\n",
    "df_metrix"
   ]
  }
 ],
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