mlp_examples.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from Mytorch.trainer.trainer import Trainer\n",
    "from Mytorch.data.data_loader import MnistData\n",
    "from Mytorch.torch.mlp import MLP"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "**********************************\n",
      "network: odict_keys(['linear1', 'f1', 'linear2', 'f2', 'linear3', 'f3'])\n",
      "w_dict: odict_keys(['linear1', 'linear2', 'linear3'])\n",
      "b_dict: odict_keys(['linear1', 'linear2', 'linear3'])\n",
      "z_dict: odict_keys(['f1', 'f2', 'f3'])\n",
      "a_dict: odict_keys(['f1', 'f2', 'f3'])\n",
      "**********************************\n",
      "\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = MnistData(\".\\dataset\\mnist_small_matlab.mat\")\n",
    "model =MLP()\n",
    "model.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: 10/10, loss: 0.009  train_acc: 0.999  test_acc: 0.960  examples/sec:95.7 \n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "trainer =Trainer(max_epochs=10)\n",
    "trainer.fit(model,data)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.8.8 ('base')",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "b09ec625f77bf4fd762565a912b97636504ad6ec901eb2d0f4cf5a7de23e1ee5"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}