05_CodingDrill/CodingDrill_04.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "CodingDrill_04.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "accelerator": "GPU",
    "widgets": {
      "application/vnd.jupyter.widget-state+json": {
        "9e8fb6d7a3ec4c3b8dc1732880ee6f04": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "state": {
            "_view_name": "HBoxView",
            "_dom_classes": [],
            "_model_name": "HBoxModel",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "box_style": "",
            "layout": "IPY_MODEL_5865471a0bfb45a9929267f702c66f95",
            "_model_module": "@jupyter-widgets/controls",
            "children": [
              "IPY_MODEL_2536a716b70144ceb9248468b6bd2652",
              "IPY_MODEL_6387a79f753a4ccbbaad9c0e76cc1437"
            ]
          }
        },
        "5865471a0bfb45a9929267f702c66f95": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": "row wrap",
            "width": "80%",
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": "inline-flex",
            "left": null
          }
        },
        "2536a716b70144ceb9248468b6bd2652": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "IntProgressModel",
          "state": {
            "_view_name": "ProgressView",
            "style": "IPY_MODEL_4de11f9719df46d388f213706fb090b8",
            "_dom_classes": [],
            "description": "Loss=0.22798316180706024 Batch_id=468 Accuracy=86.30",
            "_model_name": "IntProgressModel",
            "bar_style": "success",
            "max": 469,
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": 469,
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "orientation": "horizontal",
            "min": 0,
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_69b5a152610940f2b3c250c061d56b8a"
          }
        },
        "6387a79f753a4ccbbaad9c0e76cc1437": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_0c2af6f6c26045459b70036dcd7aad8f",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": "100% 469/469 [00:14&lt;00:00, 32.21it/s]",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_54c864e95b24497798808f8c38bcc79d"
          }
        },
        "4de11f9719df46d388f213706fb090b8": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "ProgressStyleModel",
            "description_width": "initial",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "bar_color": null,
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "69b5a152610940f2b3c250c061d56b8a": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": "2",
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "0c2af6f6c26045459b70036dcd7aad8f": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "54c864e95b24497798808f8c38bcc79d": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "a71dad495d094b9cb984a26edae2b89e": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "state": {
            "_view_name": "HBoxView",
            "_dom_classes": [],
            "_model_name": "HBoxModel",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "box_style": "",
            "layout": "IPY_MODEL_03438ab820e143a597e5ff0cfb0c421f",
            "_model_module": "@jupyter-widgets/controls",
            "children": [
              "IPY_MODEL_efc4106561a141fc85d44fb6a8cbc2d5",
              "IPY_MODEL_a52efa4f2fb9423e880417b5b9d0890c"
            ]
          }
        },
        "03438ab820e143a597e5ff0cfb0c421f": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": "row wrap",
            "width": "80%",
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": "inline-flex",
            "left": null
          }
        },
        "efc4106561a141fc85d44fb6a8cbc2d5": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "IntProgressModel",
          "state": {
            "_view_name": "ProgressView",
            "style": "IPY_MODEL_7e360732278c41c88ec98ca0dcd13b36",
            "_dom_classes": [],
            "description": "Loss=0.1735927313566208 Batch_id=468 Accuracy=95.51",
            "_model_name": "IntProgressModel",
            "bar_style": "success",
            "max": 469,
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": 469,
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "orientation": "horizontal",
            "min": 0,
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_749be6f8eba44d5da908bf64d93ee0f4"
          }
        },
        "a52efa4f2fb9423e880417b5b9d0890c": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_bd984d682ac34f7eb1580f11d66e9542",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": "100% 469/469 [00:14&lt;00:00, 32.43it/s]",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_e7704828133c48ddb7621e31ad6949db"
          }
        },
        "7e360732278c41c88ec98ca0dcd13b36": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "ProgressStyleModel",
            "description_width": "initial",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "bar_color": null,
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "749be6f8eba44d5da908bf64d93ee0f4": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": "2",
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "bd984d682ac34f7eb1580f11d66e9542": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "e7704828133c48ddb7621e31ad6949db": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "257617e4768244d9b17af25a77ccf31b": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "state": {
            "_view_name": "HBoxView",
            "_dom_classes": [],
            "_model_name": "HBoxModel",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "box_style": "",
            "layout": "IPY_MODEL_efb58fb0e2724dc8836c5b6ca8acd58f",
            "_model_module": "@jupyter-widgets/controls",
            "children": [
              "IPY_MODEL_7070a50b3b8f44c8aed6b06b4fa36c7c",
              "IPY_MODEL_dba65c0135a6446f9a6e694e342e3466"
            ]
          }
        },
        "efb58fb0e2724dc8836c5b6ca8acd58f": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": "row wrap",
            "width": "80%",
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": "inline-flex",
            "left": null
          }
        },
        "7070a50b3b8f44c8aed6b06b4fa36c7c": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "IntProgressModel",
          "state": {
            "_view_name": "ProgressView",
            "style": "IPY_MODEL_7680e6367aa54cb2962885cdb48f87c0",
            "_dom_classes": [],
            "description": "Loss=0.09710083156824112 Batch_id=468 Accuracy=96.48",
            "_model_name": "IntProgressModel",
            "bar_style": "success",
            "max": 469,
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": 469,
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "orientation": "horizontal",
            "min": 0,
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_44fea956a7bd4597bb4415bc8cecd81d"
          }
        },
        "dba65c0135a6446f9a6e694e342e3466": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_01de61012d1145349be488f6846f5ae3",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": "100% 469/469 [00:14&lt;00:00, 32.73it/s]",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_34d0d758ce2e4844aa12d8f2f1aa66b9"
          }
        },
        "7680e6367aa54cb2962885cdb48f87c0": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "ProgressStyleModel",
            "description_width": "initial",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "bar_color": null,
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "44fea956a7bd4597bb4415bc8cecd81d": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": "2",
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "01de61012d1145349be488f6846f5ae3": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "34d0d758ce2e4844aa12d8f2f1aa66b9": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "23c40632cecc46e9bc3a3b24e62526a1": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "state": {
            "_view_name": "HBoxView",
            "_dom_classes": [],
            "_model_name": "HBoxModel",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "box_style": "",
            "layout": "IPY_MODEL_f6de2af9746542b9a227ce9191bf43d7",
            "_model_module": "@jupyter-widgets/controls",
            "children": [
              "IPY_MODEL_5007bad0fb7e46fa9389a5778e23aa5f",
              "IPY_MODEL_f68c25d15e084a2c83b4d8fef28b7949"
            ]
          }
        },
        "f6de2af9746542b9a227ce9191bf43d7": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": "row wrap",
            "width": "80%",
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": "inline-flex",
            "left": null
          }
        },
        "5007bad0fb7e46fa9389a5778e23aa5f": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "IntProgressModel",
          "state": {
            "_view_name": "ProgressView",
            "style": "IPY_MODEL_629ec42ffeef4eca942e50e67240d626",
            "_dom_classes": [],
            "description": "Loss=0.08759554475545883 Batch_id=468 Accuracy=96.86",
            "_model_name": "IntProgressModel",
            "bar_style": "success",
            "max": 469,
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": 469,
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "orientation": "horizontal",
            "min": 0,
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_8e55b5fa8ccc4717842aa467c80a77bc"
          }
        },
        "f68c25d15e084a2c83b4d8fef28b7949": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_1e39f68a5a6e47fb9cd96c4f558ada38",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": "100% 469/469 [00:14&lt;00:00, 32.09it/s]",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_f6cda89187b344f89e9cb1165cc4a037"
          }
        },
        "629ec42ffeef4eca942e50e67240d626": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "ProgressStyleModel",
            "description_width": "initial",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "bar_color": null,
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "8e55b5fa8ccc4717842aa467c80a77bc": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": "2",
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "1e39f68a5a6e47fb9cd96c4f558ada38": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "f6cda89187b344f89e9cb1165cc4a037": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "f7e0d594234f4fea9607be7445d79f68": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "state": {
            "_view_name": "HBoxView",
            "_dom_classes": [],
            "_model_name": "HBoxModel",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "box_style": "",
            "layout": "IPY_MODEL_c49c9a3861e94ba8aef8e244943785f9",
            "_model_module": "@jupyter-widgets/controls",
            "children": [
              "IPY_MODEL_7d03e2afded04857874f1d23ac735034",
              "IPY_MODEL_a27e32b1efac40a9b5a2af82924347ba"
            ]
          }
        },
        "c49c9a3861e94ba8aef8e244943785f9": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": "row wrap",
            "width": "80%",
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": "inline-flex",
            "left": null
          }
        },
        "7d03e2afded04857874f1d23ac735034": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "IntProgressModel",
          "state": {
            "_view_name": "ProgressView",
            "style": "IPY_MODEL_f04e189d886e482bba1828c7cbd15aaf",
            "_dom_classes": [],
            "description": "Loss=0.055250074714422226 Batch_id=468 Accuracy=97.13",
            "_model_name": "IntProgressModel",
            "bar_style": "success",
            "max": 469,
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": 469,
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "orientation": "horizontal",
            "min": 0,
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_08527ee58fb043f285b87840c2bff3d4"
          }
        },
        "a27e32b1efac40a9b5a2af82924347ba": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_532d43bb139c4f668ba1ffef933bddd2",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": "100% 469/469 [00:14&lt;00:00, 32.65it/s]",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_d34a70f7df2c415b83cefe7983aa9dc5"
          }
        },
        "f04e189d886e482bba1828c7cbd15aaf": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "ProgressStyleModel",
            "description_width": "initial",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "bar_color": null,
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "08527ee58fb043f285b87840c2bff3d4": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": "2",
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "532d43bb139c4f668ba1ffef933bddd2": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "d34a70f7df2c415b83cefe7983aa9dc5": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "bd023ec810ae489a8c2854cd724efe9c": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "state": {
            "_view_name": "HBoxView",
            "_dom_classes": [],
            "_model_name": "HBoxModel",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "box_style": "",
            "layout": "IPY_MODEL_0c07af55f6db4fa795bb9e3847a02baa",
            "_model_module": "@jupyter-widgets/controls",
            "children": [
              "IPY_MODEL_fbbcf97a82bc4692b823efaeb91cd489",
              "IPY_MODEL_d265aa77fc69490e9356c403e2a7a82a"
            ]
          }
        },
        "0c07af55f6db4fa795bb9e3847a02baa": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": "row wrap",
            "width": "80%",
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": "inline-flex",
            "left": null
          }
        },
        "fbbcf97a82bc4692b823efaeb91cd489": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "IntProgressModel",
          "state": {
            "_view_name": "ProgressView",
            "style": "IPY_MODEL_cbd011e0ae0740b79c5c1d293ce70409",
            "_dom_classes": [],
            "description": "Loss=0.10173522680997849 Batch_id=468 Accuracy=97.45",
            "_model_name": "IntProgressModel",
            "bar_style": "success",
            "max": 469,
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": 469,
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "orientation": "horizontal",
            "min": 0,
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_eead60f4ebdd47f4b647e284ee83ca58"
          }
        },
        "d265aa77fc69490e9356c403e2a7a82a": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_0b091715fa4943de90f6b4b292080227",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": "100% 469/469 [00:14&lt;00:00, 32.47it/s]",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_4c181912da574061b44fb6f4a4aae5c2"
          }
        },
        "cbd011e0ae0740b79c5c1d293ce70409": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "ProgressStyleModel",
            "description_width": "initial",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "bar_color": null,
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "eead60f4ebdd47f4b647e284ee83ca58": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": "2",
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "0b091715fa4943de90f6b4b292080227": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "4c181912da574061b44fb6f4a4aae5c2": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "8f7ff399c1184d859e9d422d04968953": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "state": {
            "_view_name": "HBoxView",
            "_dom_classes": [],
            "_model_name": "HBoxModel",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "box_style": "",
            "layout": "IPY_MODEL_60a9913d00094f6e92d20360d2543e0c",
            "_model_module": "@jupyter-widgets/controls",
            "children": [
              "IPY_MODEL_5d20026e26644746a1f6a1930dc2aaae",
              "IPY_MODEL_c1da385503144d99b4186e439457f16f"
            ]
          }
        },
        "60a9913d00094f6e92d20360d2543e0c": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": "row wrap",
            "width": "80%",
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": "inline-flex",
            "left": null
          }
        },
        "5d20026e26644746a1f6a1930dc2aaae": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "IntProgressModel",
          "state": {
            "_view_name": "ProgressView",
            "style": "IPY_MODEL_74033829f28d4979b7272544959a76b6",
            "_dom_classes": [],
            "description": "Loss=0.14534157514572144 Batch_id=468 Accuracy=97.79",
            "_model_name": "IntProgressModel",
            "bar_style": "success",
            "max": 469,
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": 469,
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "orientation": "horizontal",
            "min": 0,
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_1c5e77072ea6424396457d1be6f4706e"
          }
        },
        "c1da385503144d99b4186e439457f16f": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_b95a2337abd942bdba92e7e407867fbf",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": "100% 469/469 [00:14&lt;00:00, 39.27it/s]",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_b5f17b2b55a6483e90ff734a6639999d"
          }
        },
        "74033829f28d4979b7272544959a76b6": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "ProgressStyleModel",
            "description_width": "initial",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "bar_color": null,
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "1c5e77072ea6424396457d1be6f4706e": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": "2",
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "b95a2337abd942bdba92e7e407867fbf": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "b5f17b2b55a6483e90ff734a6639999d": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "f96d5b0837a44a97bf3a3e33b6cd1ad9": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "state": {
            "_view_name": "HBoxView",
            "_dom_classes": [],
            "_model_name": "HBoxModel",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "box_style": "",
            "layout": "IPY_MODEL_dc122d7ff49645af8e10ca25a728fea9",
            "_model_module": "@jupyter-widgets/controls",
            "children": [
              "IPY_MODEL_0b433db66d3d4aec9147a12975519076",
              "IPY_MODEL_ffee705906d24266b2521cc34eaf59f9"
            ]
          }
        },
        "dc122d7ff49645af8e10ca25a728fea9": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": "row wrap",
            "width": "80%",
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": "inline-flex",
            "left": null
          }
        },
        "0b433db66d3d4aec9147a12975519076": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "IntProgressModel",
          "state": {
            "_view_name": "ProgressView",
            "style": "IPY_MODEL_8f1127271f3943eb9ad95063990333b0",
            "_dom_classes": [],
            "description": "Loss=0.07910701632499695 Batch_id=468 Accuracy=98.03",
            "_model_name": "IntProgressModel",
            "bar_style": "success",
            "max": 469,
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": 469,
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "orientation": "horizontal",
            "min": 0,
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_87e24a0f93074e9fb9305656f179db15"
          }
        },
        "ffee705906d24266b2521cc34eaf59f9": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_29c8ddcf60c045e59ff7df79daa27cd0",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": "100% 469/469 [00:14&lt;00:00, 32.87it/s]",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_bebc84b068194ac3b7abdccc22bca387"
          }
        },
        "8f1127271f3943eb9ad95063990333b0": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "ProgressStyleModel",
            "description_width": "initial",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "bar_color": null,
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "87e24a0f93074e9fb9305656f179db15": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": "2",
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "29c8ddcf60c045e59ff7df79daa27cd0": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "bebc84b068194ac3b7abdccc22bca387": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "63319166e7884f29953d4b6491997bbd": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "state": {
            "_view_name": "HBoxView",
            "_dom_classes": [],
            "_model_name": "HBoxModel",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "box_style": "",
            "layout": "IPY_MODEL_8f5a8ca7bcaf461ca4cafb5c71636663",
            "_model_module": "@jupyter-widgets/controls",
            "children": [
              "IPY_MODEL_2e8f5b955a4f40e988983e04812424e6",
              "IPY_MODEL_6935ead99090429eaa908fb426100f63"
            ]
          }
        },
        "8f5a8ca7bcaf461ca4cafb5c71636663": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": "row wrap",
            "width": "80%",
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": "inline-flex",
            "left": null
          }
        },
        "2e8f5b955a4f40e988983e04812424e6": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "IntProgressModel",
          "state": {
            "_view_name": "ProgressView",
            "style": "IPY_MODEL_4d6137663dc3401490b626051b278f70",
            "_dom_classes": [],
            "description": "Loss=0.015524829737842083 Batch_id=468 Accuracy=97.98",
            "_model_name": "IntProgressModel",
            "bar_style": "success",
            "max": 469,
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": 469,
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "orientation": "horizontal",
            "min": 0,
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_373f5a6b9ee04b50b37f56ec0a95474d"
          }
        },
        "6935ead99090429eaa908fb426100f63": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_6ab0c06f5cc14a178705d00af2f9bc1d",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": "100% 469/469 [00:13&lt;00:00, 33.75it/s]",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_9629cb0f99b34e279e492f4a25ebb8ee"
          }
        },
        "4d6137663dc3401490b626051b278f70": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "ProgressStyleModel",
            "description_width": "initial",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "bar_color": null,
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "373f5a6b9ee04b50b37f56ec0a95474d": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": "2",
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "6ab0c06f5cc14a178705d00af2f9bc1d": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "9629cb0f99b34e279e492f4a25ebb8ee": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "771f6409dba14e7e9917b5f9eb084ac9": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "state": {
            "_view_name": "HBoxView",
            "_dom_classes": [],
            "_model_name": "HBoxModel",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "box_style": "",
            "layout": "IPY_MODEL_bae826233ddd4445a8a16b4397e06f21",
            "_model_module": "@jupyter-widgets/controls",
            "children": [
              "IPY_MODEL_5deb37b767a34434bcb32e9c9ccc6515",
              "IPY_MODEL_afe824eec2d942e5b25f15948b903614"
            ]
          }
        },
        "bae826233ddd4445a8a16b4397e06f21": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": "row wrap",
            "width": "80%",
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": "inline-flex",
            "left": null
          }
        },
        "5deb37b767a34434bcb32e9c9ccc6515": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "IntProgressModel",
          "state": {
            "_view_name": "ProgressView",
            "style": "IPY_MODEL_085b586dd1fe45c29fe3010bddb8d8ea",
            "_dom_classes": [],
            "description": "Loss=0.11559206992387772 Batch_id=468 Accuracy=97.97",
            "_model_name": "IntProgressModel",
            "bar_style": "success",
            "max": 469,
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": 469,
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "orientation": "horizontal",
            "min": 0,
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_76f82a0b20eb46fb95ffa24512db3ecc"
          }
        },
        "afe824eec2d942e5b25f15948b903614": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_eb01198f7f7b4bb6a463768a3ebdea26",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": "100% 469/469 [00:14&lt;00:00, 33.21it/s]",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_ae0bc02c17984c77a9c386e05c1397ef"
          }
        },
        "085b586dd1fe45c29fe3010bddb8d8ea": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "ProgressStyleModel",
            "description_width": "initial",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "bar_color": null,
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "76f82a0b20eb46fb95ffa24512db3ecc": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": "2",
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "eb01198f7f7b4bb6a463768a3ebdea26": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "ae0bc02c17984c77a9c386e05c1397ef": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "9f3524ac772c42aa9c13f898b0d5b78c": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "state": {
            "_view_name": "HBoxView",
            "_dom_classes": [],
            "_model_name": "HBoxModel",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "box_style": "",
            "layout": "IPY_MODEL_3e33332cbdea471fa344e2a9286a5644",
            "_model_module": "@jupyter-widgets/controls",
            "children": [
              "IPY_MODEL_5c8f03db698c4166922ede27dea14d4a",
              "IPY_MODEL_c1f148193518449d9406df44b8ee6223"
            ]
          }
        },
        "3e33332cbdea471fa344e2a9286a5644": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": "row wrap",
            "width": "80%",
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": "inline-flex",
            "left": null
          }
        },
        "5c8f03db698c4166922ede27dea14d4a": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "IntProgressModel",
          "state": {
            "_view_name": "ProgressView",
            "style": "IPY_MODEL_d643a144e066433eb093e0ba53f04447",
            "_dom_classes": [],
            "description": "Loss=0.11170541495084763 Batch_id=468 Accuracy=98.05",
            "_model_name": "IntProgressModel",
            "bar_style": "success",
            "max": 469,
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": 469,
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "orientation": "horizontal",
            "min": 0,
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_4e186db726fb4208b58d182941087636"
          }
        },
        "c1f148193518449d9406df44b8ee6223": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_62f50963580849b3836d6957badcffc4",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": "100% 469/469 [00:14&lt;00:00, 33.24it/s]",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_c71e4c8101c04fa688414eb928df542c"
          }
        },
        "d643a144e066433eb093e0ba53f04447": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "ProgressStyleModel",
            "description_width": "initial",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "bar_color": null,
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "4e186db726fb4208b58d182941087636": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": "2",
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "62f50963580849b3836d6957badcffc4": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "c71e4c8101c04fa688414eb928df542c": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "3cb93c64faa34680a96c685c14a41d4a": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "state": {
            "_view_name": "HBoxView",
            "_dom_classes": [],
            "_model_name": "HBoxModel",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "box_style": "",
            "layout": "IPY_MODEL_f5f5cebb17284600814cafed17713886",
            "_model_module": "@jupyter-widgets/controls",
            "children": [
              "IPY_MODEL_bab22bae34bb437c956cc50d86c1c474",
              "IPY_MODEL_0c003434443a4745b8fa9b140767478b"
            ]
          }
        },
        "f5f5cebb17284600814cafed17713886": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": "row wrap",
            "width": "80%",
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": "inline-flex",
            "left": null
          }
        },
        "bab22bae34bb437c956cc50d86c1c474": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "IntProgressModel",
          "state": {
            "_view_name": "ProgressView",
            "style": "IPY_MODEL_844957aa2da04efaa6def88ab7a475ad",
            "_dom_classes": [],
            "description": "Loss=0.12306799739599228 Batch_id=468 Accuracy=98.07",
            "_model_name": "IntProgressModel",
            "bar_style": "success",
            "max": 469,
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": 469,
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "orientation": "horizontal",
            "min": 0,
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_b8ed47cf020b4694abd76552a2bedf2e"
          }
        },
        "0c003434443a4745b8fa9b140767478b": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_359d29dd2d144522b2fd9b3133141d92",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": "100% 469/469 [00:13&lt;00:00, 33.72it/s]",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_91715a2fa4df4694b6cb6ce82815beaf"
          }
        },
        "844957aa2da04efaa6def88ab7a475ad": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "ProgressStyleModel",
            "description_width": "initial",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "bar_color": null,
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "b8ed47cf020b4694abd76552a2bedf2e": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": "2",
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "359d29dd2d144522b2fd9b3133141d92": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "91715a2fa4df4694b6cb6ce82815beaf": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "df4dad291e62448a8f9b5f7fcf97e41e": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "state": {
            "_view_name": "HBoxView",
            "_dom_classes": [],
            "_model_name": "HBoxModel",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "box_style": "",
            "layout": "IPY_MODEL_57a366c7d96946e8a0b7d6ed84dd9509",
            "_model_module": "@jupyter-widgets/controls",
            "children": [
              "IPY_MODEL_6ad657a3025e43dd9cfb9098ab0b8d6a",
              "IPY_MODEL_26c30496f6104d46ba9d4d24fd4d1806"
            ]
          }
        },
        "57a366c7d96946e8a0b7d6ed84dd9509": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": "row wrap",
            "width": "80%",
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": "inline-flex",
            "left": null
          }
        },
        "6ad657a3025e43dd9cfb9098ab0b8d6a": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "IntProgressModel",
          "state": {
            "_view_name": "ProgressView",
            "style": "IPY_MODEL_4e248a6ebb4e40beb66302d95ca2d4e5",
            "_dom_classes": [],
            "description": "Loss=0.10851597040891647 Batch_id=468 Accuracy=98.11",
            "_model_name": "IntProgressModel",
            "bar_style": "success",
            "max": 469,
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": 469,
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "orientation": "horizontal",
            "min": 0,
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_6295693a104f413fb9553d16e87e56aa"
          }
        },
        "26c30496f6104d46ba9d4d24fd4d1806": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_e50080f5070344deaef030d1a961de26",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": "100% 469/469 [00:13&lt;00:00, 34.54it/s]",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_7bcf613b99f047ae924691f6d7e4b2eb"
          }
        },
        "4e248a6ebb4e40beb66302d95ca2d4e5": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "ProgressStyleModel",
            "description_width": "initial",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "bar_color": null,
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "6295693a104f413fb9553d16e87e56aa": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": "2",
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "e50080f5070344deaef030d1a961de26": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "7bcf613b99f047ae924691f6d7e4b2eb": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "f97b82aa981645aea44c5b69be28ebad": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "state": {
            "_view_name": "HBoxView",
            "_dom_classes": [],
            "_model_name": "HBoxModel",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "box_style": "",
            "layout": "IPY_MODEL_2fde473f366a404e975e171afe7137f5",
            "_model_module": "@jupyter-widgets/controls",
            "children": [
              "IPY_MODEL_f79f19c86dc948c1b843d25297ab3e96",
              "IPY_MODEL_07280a36315045b988ea449fde58bf01"
            ]
          }
        },
        "2fde473f366a404e975e171afe7137f5": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": "row wrap",
            "width": "80%",
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": "inline-flex",
            "left": null
          }
        },
        "f79f19c86dc948c1b843d25297ab3e96": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "IntProgressModel",
          "state": {
            "_view_name": "ProgressView",
            "style": "IPY_MODEL_987fc0233630422a9962ca5e7a928e9e",
            "_dom_classes": [],
            "description": "Loss=0.03207812085747719 Batch_id=468 Accuracy=98.15",
            "_model_name": "IntProgressModel",
            "bar_style": "success",
            "max": 469,
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": 469,
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "orientation": "horizontal",
            "min": 0,
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_5d349f717ac745efb44e26335eec6963"
          }
        },
        "07280a36315045b988ea449fde58bf01": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_16117f10f90643ff97aa9d6022cde509",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": "100% 469/469 [00:13&lt;00:00, 34.15it/s]",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_38d32419aaf54293a470135f531d0f9f"
          }
        },
        "987fc0233630422a9962ca5e7a928e9e": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "ProgressStyleModel",
            "description_width": "initial",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "bar_color": null,
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "5d349f717ac745efb44e26335eec6963": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": "2",
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "16117f10f90643ff97aa9d6022cde509": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "38d32419aaf54293a470135f531d0f9f": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "42e3c88ab95442e0b3403db80aaa69ba": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "state": {
            "_view_name": "HBoxView",
            "_dom_classes": [],
            "_model_name": "HBoxModel",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "box_style": "",
            "layout": "IPY_MODEL_832e965a04754bcda54635a83f3347ae",
            "_model_module": "@jupyter-widgets/controls",
            "children": [
              "IPY_MODEL_83564008cb5a4302afeff0e75bff6e6d",
              "IPY_MODEL_a6c96969e09f47588e9f392db6099fe3"
            ]
          }
        },
        "832e965a04754bcda54635a83f3347ae": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": "row wrap",
            "width": "80%",
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": "inline-flex",
            "left": null
          }
        },
        "83564008cb5a4302afeff0e75bff6e6d": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "IntProgressModel",
          "state": {
            "_view_name": "ProgressView",
            "style": "IPY_MODEL_3b392fb6f837401cad62c2d465c7d41e",
            "_dom_classes": [],
            "description": "Loss=0.0678839311003685 Batch_id=468 Accuracy=98.09",
            "_model_name": "IntProgressModel",
            "bar_style": "success",
            "max": 469,
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": 469,
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "orientation": "horizontal",
            "min": 0,
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_84ded9e44b314837bbe21d6ff62a2776"
          }
        },
        "a6c96969e09f47588e9f392db6099fe3": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "state": {
            "_view_name": "HTMLView",
            "style": "IPY_MODEL_bfed1d61dee4487aa9bf39fffe44776f",
            "_dom_classes": [],
            "description": "",
            "_model_name": "HTMLModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": "100% 469/469 [00:13&lt;00:00, 33.69it/s]",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_826ed052acb943268f3e7f5e17507734"
          }
        },
        "3b392fb6f837401cad62c2d465c7d41e": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "ProgressStyleModel",
            "description_width": "initial",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "bar_color": null,
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "84ded9e44b314837bbe21d6ff62a2776": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": "2",
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "bfed1d61dee4487aa9bf39fffe44776f": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "826ed052acb943268f3e7f5e17507734": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        }
      }
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/satyajitghana/TSAI-DeepVision-EVA4.0/blob/master/05_CodingDrill/CodingDrill_04.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "eXuPMu9zb_s3",
        "colab_type": "text"
      },
      "source": [
        "# Coding Drill 03"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HR3_w_wrb7Bs",
        "colab_type": "text"
      },
      "source": [
        "## 1. Target\n",
        "\n",
        "- Add a LR Scheduler to reduce the oscillations\n",
        "\n",
        "## 2. Result\n",
        "\n",
        "- Params: `9,962`\n",
        "- Best Train Accuracy: `98.15%`\n",
        "- Best Test Accuracy : `99.37%`\n",
        "\n",
        "## 3. Analysis\n",
        "\n",
        "- There was a increase in accuracy, the LR is working"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "x93nIsZUcGgi",
        "colab_type": "text"
      },
      "source": [
        "## Layer Added Model\n",
        "\n",
        "- Convolution Block 1\n",
        "    - `Conv2D:  1, 14, 3; Out: 26x26x14`\n",
        "    - `Conv2D: 14, 30, 3; Out: 24x24x30`\n",
        "\n",
        "- Transition Block\n",
        "    - `Conv2D: 30, 10, 1; Out: 24x24x10`\n",
        "    - `MaxPool2D: 2x2;    Out: 12x12x10`\n",
        "\n",
        "- Convolution Block 2\n",
        "    - `Conv2D: 10, 14, 3; Out: 10x10x14`\n",
        "    - `Conv2D: 14, 15, 3; Out: 8x8x15`\n",
        "    - `Conv2D: 15, 15, 3; Out: 6x6x15`\n",
        "\n",
        "- GAP\n",
        "    - `AvgPool2D: 6x6;    Out: 1x1x15`\n",
        "    - `Conv2D: 15, 15, 1; Out: 1x1x15`\n",
        "    - `Conv2D: 15, 10, 1; Out: 1x1x10`\n",
        "\n",
        "\n",
        "Legend\n",
        "- `Conv2D (input_channels), (output_channels), (kernel_size); Out: (output_dim)`\n",
        "- `MaxPool2D: (kernel_size); Out: (output_dim)`\n",
        "- `AvgPool2D: (kernel_size); Out: (output_dim)`"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "aO-7t1Y7-hV4",
        "colab_type": "text"
      },
      "source": [
        "# Import Libraries"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8kH16rnZ7wt_",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from __future__ import print_function\n",
        "import torch\n",
        "import torch.nn as nn\n",
        "import torch.nn.functional as F\n",
        "import torch.optim as optim\n",
        "from torchvision import datasets, transforms"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ky3f_Odl-7um",
        "colab_type": "text"
      },
      "source": [
        "## Data Transformations\n",
        "\n",
        "We first start with defining our data transformations. We need to think what our data is and how can we augment it to correct represent images which it might not see otherwise. \n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YtssFUKb-jqx",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Train Phase transformations\n",
        "train_transforms = transforms.Compose([\n",
        "                                       transforms.RandomRotation((-7.0, 7.0), fill=(1,)),\n",
        "                                       transforms.ToTensor(),\n",
        "                                       transforms.Normalize((0.1307,), (0.3081,)) # The mean and std have to be sequences (e.g., tuples), therefore you should add a comma after the values. \n",
        "                                       # Note the difference between (0.1307) and (0.1307,)\n",
        "                                       ])\n",
        "\n",
        "# Test Phase transformations\n",
        "test_transforms = transforms.Compose([\n",
        "                                       transforms.ToTensor(),\n",
        "                                       transforms.Normalize((0.1307,), (0.3081,))\n",
        "                                       ])\n"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "oQciFYo2B1mO",
        "colab_type": "text"
      },
      "source": [
        "# Dataset and Creating Train/Test Split"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_4A84rlfDA23",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "train = datasets.MNIST('./data', train=True, download=True, transform=train_transforms)\n",
        "test = datasets.MNIST('./data', train=False, download=True, transform=test_transforms)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qgldp_3-Dn0c",
        "colab_type": "text"
      },
      "source": [
        "# Dataloader Arguments & Test/Train Dataloaders\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "C8OLDR79DrHG",
        "colab_type": "code",
        "outputId": "588386c3-1bec-47b3-e7f3-079ba3c11aca",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        }
      },
      "source": [
        "SEED = 1\n",
        "\n",
        "# CUDA?\n",
        "cuda = torch.cuda.is_available()\n",
        "print(\"CUDA Available?\", cuda)\n",
        "\n",
        "# For reproducibility\n",
        "torch.manual_seed(SEED)\n",
        "\n",
        "if cuda:\n",
        "    torch.cuda.manual_seed(SEED)\n",
        "\n",
        "# note about pin_memory\n",
        "# If you load your samples in the Dataset on CPU and would like to push it\n",
        "# during training to the GPU, you can speed up the host to device transfer by\n",
        "# enabling pin_memory. This lets your DataLoader allocate the samples in\n",
        "# page-locked memory, which speeds-up the transfer.\n",
        "\n",
        "# dataloader arguments - something you'll fetch these from cmdprmt\n",
        "dataloader_args = dict(shuffle=True, batch_size=128, num_workers=4, pin_memory=True) if cuda else dict(shuffle=True, batch_size=64)\n",
        "\n",
        "# train dataloader\n",
        "train_loader = torch.utils.data.DataLoader(train, **dataloader_args)\n",
        "\n",
        "# test dataloader\n",
        "test_loader = torch.utils.data.DataLoader(test, **dataloader_args)"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "CUDA Available? True\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ubQL3H6RJL3h",
        "colab_type": "text"
      },
      "source": [
        "# The model\n",
        "Let's start with the model we first saw"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7FXQlB9kH1ov",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import torch.nn.functional as F\n",
        "dropout_value = 0.1\n",
        "class Net(nn.Module):\n",
        "    def __init__(self):\n",
        "        super(Net, self).__init__()\n",
        "        # Input Block\n",
        "        self.convblock1 = nn.Sequential(\n",
        "            nn.Conv2d(in_channels=1, out_channels=14, kernel_size=(3, 3), padding=0, bias=False),\n",
        "            nn.ReLU(),\n",
        "            nn.BatchNorm2d(14),\n",
        "            nn.Dropout(dropout_value)\n",
        "        ) # output_size = 26\n",
        "\n",
        "        # CONVOLUTION BLOCK 1\n",
        "        self.convblock2 = nn.Sequential(\n",
        "            nn.Conv2d(in_channels=14, out_channels=30, kernel_size=(3, 3), padding=0, bias=False),\n",
        "            nn.ReLU(),\n",
        "            nn.BatchNorm2d(30),\n",
        "            nn.Dropout(dropout_value)\n",
        "        ) # output_size = 24\n",
        "\n",
        "        # TRANSITION BLOCK 1\n",
        "        self.convblock3 = nn.Sequential(\n",
        "            nn.Conv2d(in_channels=30, out_channels=10, kernel_size=(1, 1), padding=0, bias=False),\n",
        "        ) # output_size = 24\n",
        "        self.pool1 = nn.MaxPool2d(2, 2) # output_size = 12\n",
        "\n",
        "        # CONVOLUTION BLOCK 2\n",
        "        self.convblock4 = nn.Sequential(\n",
        "            nn.Conv2d(in_channels=10, out_channels=14, kernel_size=(3, 3), padding=0, bias=False),\n",
        "            nn.ReLU(),            \n",
        "            nn.BatchNorm2d(14),\n",
        "            nn.Dropout(dropout_value)\n",
        "        ) # output_size = 10\n",
        "        self.convblock5 = nn.Sequential(\n",
        "            nn.Conv2d(in_channels=14, out_channels=15, kernel_size=(3, 3), padding=0, bias=False),\n",
        "            nn.ReLU(),            \n",
        "            nn.BatchNorm2d(15),\n",
        "            nn.Dropout(dropout_value)\n",
        "        ) # output_size = 8\n",
        "        self.convblock6 = nn.Sequential(\n",
        "            nn.Conv2d(in_channels=15, out_channels=15, kernel_size=(3, 3), padding=0, bias=False),\n",
        "            nn.ReLU(),            \n",
        "            nn.BatchNorm2d(15),\n",
        "            nn.Dropout(dropout_value)\n",
        "        ) # output_size = 6\n",
        "        \n",
        "        # OUTPUT BLOCK\n",
        "        self.gap = nn.Sequential(\n",
        "            nn.AvgPool2d(kernel_size=6)\n",
        "        ) # output_size = 1\n",
        "\n",
        "        self.convblock7 = nn.Sequential(\n",
        "            nn.Conv2d(in_channels=15, out_channels=15, kernel_size=(1, 1), padding=0, bias=False),\n",
        "            nn.BatchNorm2d(15),\n",
        "            nn.ReLU(),\n",
        "            nn.Dropout(dropout_value)\n",
        "        )\n",
        "\n",
        "        self.convblock8 = nn.Sequential(\n",
        "            nn.Conv2d(in_channels=15, out_channels=10, kernel_size=(1, 1), padding=0, bias=False),\n",
        "        )\n",
        "\n",
        "        self.dropout = nn.Dropout(dropout_value)\n",
        "\n",
        "    def forward(self, x):\n",
        "        x = self.convblock1(x)\n",
        "        x = self.convblock2(x)\n",
        "        x = self.convblock3(x)\n",
        "        x = self.pool1(x)\n",
        "        x = self.convblock4(x)\n",
        "        x = self.convblock5(x)\n",
        "        x = self.convblock6(x)\n",
        "        x = self.gap(x)        \n",
        "        x = self.convblock7(x)\n",
        "        x = self.convblock8(x)\n",
        "\n",
        "        x = x.view(-1, 10)\n",
        "        return F.log_softmax(x, dim=-1)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "M3-vp8X9LCWo",
        "colab_type": "text"
      },
      "source": [
        "# Model Params\n",
        "Can't emphasize on how important viewing Model Summary is. \n",
        "Unfortunately, there is no in-built model visualizer, so we have to take external help"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5skB97zIJQQe",
        "colab_type": "code",
        "outputId": "46bb1a81-faec-4de3-dcba-950feb9eaa89",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 799
        }
      },
      "source": [
        "!pip install torchsummary\n",
        "from torchsummary import summary\n",
        "use_cuda = torch.cuda.is_available()\n",
        "device = torch.device(\"cuda\" if use_cuda else \"cpu\")\n",
        "print(device)\n",
        "model = Net().to(device)\n",
        "summary(model, input_size=(1, 28, 28))"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Requirement already satisfied: torchsummary in /usr/local/lib/python3.6/dist-packages (1.5.1)\n",
            "cuda\n",
            "----------------------------------------------------------------\n",
            "        Layer (type)               Output Shape         Param #\n",
            "================================================================\n",
            "            Conv2d-1           [-1, 14, 26, 26]             126\n",
            "              ReLU-2           [-1, 14, 26, 26]               0\n",
            "       BatchNorm2d-3           [-1, 14, 26, 26]              28\n",
            "           Dropout-4           [-1, 14, 26, 26]               0\n",
            "            Conv2d-5           [-1, 30, 24, 24]           3,780\n",
            "              ReLU-6           [-1, 30, 24, 24]               0\n",
            "       BatchNorm2d-7           [-1, 30, 24, 24]              60\n",
            "           Dropout-8           [-1, 30, 24, 24]               0\n",
            "            Conv2d-9           [-1, 10, 24, 24]             300\n",
            "        MaxPool2d-10           [-1, 10, 12, 12]               0\n",
            "           Conv2d-11           [-1, 14, 10, 10]           1,260\n",
            "             ReLU-12           [-1, 14, 10, 10]               0\n",
            "      BatchNorm2d-13           [-1, 14, 10, 10]              28\n",
            "          Dropout-14           [-1, 14, 10, 10]               0\n",
            "           Conv2d-15             [-1, 15, 8, 8]           1,890\n",
            "             ReLU-16             [-1, 15, 8, 8]               0\n",
            "      BatchNorm2d-17             [-1, 15, 8, 8]              30\n",
            "          Dropout-18             [-1, 15, 8, 8]               0\n",
            "           Conv2d-19             [-1, 15, 6, 6]           2,025\n",
            "             ReLU-20             [-1, 15, 6, 6]               0\n",
            "      BatchNorm2d-21             [-1, 15, 6, 6]              30\n",
            "          Dropout-22             [-1, 15, 6, 6]               0\n",
            "        AvgPool2d-23             [-1, 15, 1, 1]               0\n",
            "           Conv2d-24             [-1, 15, 1, 1]             225\n",
            "      BatchNorm2d-25             [-1, 15, 1, 1]              30\n",
            "             ReLU-26             [-1, 15, 1, 1]               0\n",
            "          Dropout-27             [-1, 15, 1, 1]               0\n",
            "           Conv2d-28             [-1, 10, 1, 1]             150\n",
            "================================================================\n",
            "Total params: 9,962\n",
            "Trainable params: 9,962\n",
            "Non-trainable params: 0\n",
            "----------------------------------------------------------------\n",
            "Input size (MB): 0.00\n",
            "Forward/backward pass size (MB): 0.96\n",
            "Params size (MB): 0.04\n",
            "Estimated Total Size (MB): 1.00\n",
            "----------------------------------------------------------------\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1__x_SbrL7z3",
        "colab_type": "text"
      },
      "source": [
        "# Training and Testing\n",
        "\n",
        "Looking at logs can be boring, so we'll introduce **tqdm** progressbar to get cooler logs. \n",
        "\n",
        "Let's write train and test functions"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fbkF2nN_LYIb",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# this automatically selects tqdm for colab_notebook\n",
        "from tqdm.auto import tqdm, trange\n",
        "\n",
        "train_losses = []\n",
        "test_losses = []\n",
        "train_acc = []\n",
        "test_acc = []\n",
        "\n",
        "def train(model, device, train_loader, optimizer, epoch):\n",
        "  model.train()\n",
        "  pbar = tqdm(train_loader, ncols=\"80%\")\n",
        "  correct = 0\n",
        "  processed = 0\n",
        "  for batch_idx, (data, target) in enumerate(pbar):\n",
        "    # get samples\n",
        "    data, target = data.to(device), target.to(device)\n",
        "\n",
        "    # Init\n",
        "    optimizer.zero_grad()\n",
        "    # In PyTorch, we need to set the gradients to zero before starting to do \n",
        "    # backpropragation because PyTorch accumulates the gradients on subsequent \n",
        "    # backward passes. \n",
        "    # Because of this, when you start your training loop, ideally you should \n",
        "    # zero out the gradients so that you do the parameter update correctly.\n",
        "\n",
        "    # Predict\n",
        "    y_pred = model(data)\n",
        "\n",
        "    # Calculate loss\n",
        "    loss = F.nll_loss(y_pred, target)\n",
        "    train_losses.append(loss)\n",
        "\n",
        "    # Backpropagation\n",
        "    loss.backward()\n",
        "    optimizer.step()\n",
        "    \n",
        "    # get the index of the max log-probability\n",
        "    pred = y_pred.argmax(dim=1, keepdim=True)\n",
        "    correct += pred.eq(target.view_as(pred)).sum().item()\n",
        "    processed += len(data)\n",
        "\n",
        "    # Update pbar-tqdm\n",
        "    pbar.set_description(desc= f'Loss={loss.item()} Batch_id={batch_idx} Accuracy={100*correct/processed:0.2f}')\n",
        "    train_acc.append(100*correct/processed)\n",
        "\n",
        "def test(model, device, test_loader):\n",
        "    model.eval()\n",
        "    test_loss = 0\n",
        "    correct = 0\n",
        "    with torch.no_grad():\n",
        "        for data, target in test_loader:\n",
        "            data, target = data.to(device), target.to(device)\n",
        "            output = model(data)\n",
        "            # sum up batch loss\n",
        "            test_loss += F.nll_loss(output, target, reduction='sum').item()\n",
        "            # get the index of the max log-probability\n",
        "            pred = output.argmax(dim=1, keepdim=True)\n",
        "            correct += pred.eq(target.view_as(pred)).sum().item()\n",
        "\n",
        "    test_loss /= len(test_loader.dataset)\n",
        "    test_losses.append(test_loss)\n",
        "\n",
        "    print('\\nTest set: Average loss: {:.4f}, Accuracy: {}/{} ({:.2f}%)\\n'.format(\n",
        "        test_loss, correct, len(test_loader.dataset),\n",
        "        100. * correct / len(test_loader.dataset)))\n",
        "    \n",
        "    test_acc.append(100. * correct / len(test_loader.dataset))"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "aE5Le6FYHhc8",
        "colab_type": "code",
        "outputId": "2f86de16-bfc3-4e71-c197-70fa86c0794b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000,
          "referenced_widgets": [
            "9e8fb6d7a3ec4c3b8dc1732880ee6f04",
            "5865471a0bfb45a9929267f702c66f95",
            "2536a716b70144ceb9248468b6bd2652",
            "6387a79f753a4ccbbaad9c0e76cc1437",
            "4de11f9719df46d388f213706fb090b8",
            "69b5a152610940f2b3c250c061d56b8a",
            "0c2af6f6c26045459b70036dcd7aad8f",
            "54c864e95b24497798808f8c38bcc79d",
            "a71dad495d094b9cb984a26edae2b89e",
            "03438ab820e143a597e5ff0cfb0c421f",
            "efc4106561a141fc85d44fb6a8cbc2d5",
            "a52efa4f2fb9423e880417b5b9d0890c",
            "7e360732278c41c88ec98ca0dcd13b36",
            "749be6f8eba44d5da908bf64d93ee0f4",
            "bd984d682ac34f7eb1580f11d66e9542",
            "e7704828133c48ddb7621e31ad6949db",
            "257617e4768244d9b17af25a77ccf31b",
            "efb58fb0e2724dc8836c5b6ca8acd58f",
            "7070a50b3b8f44c8aed6b06b4fa36c7c",
            "dba65c0135a6446f9a6e694e342e3466",
            "7680e6367aa54cb2962885cdb48f87c0",
            "44fea956a7bd4597bb4415bc8cecd81d",
            "01de61012d1145349be488f6846f5ae3",
            "34d0d758ce2e4844aa12d8f2f1aa66b9",
            "23c40632cecc46e9bc3a3b24e62526a1",
            "f6de2af9746542b9a227ce9191bf43d7",
            "5007bad0fb7e46fa9389a5778e23aa5f",
            "f68c25d15e084a2c83b4d8fef28b7949",
            "629ec42ffeef4eca942e50e67240d626",
            "8e55b5fa8ccc4717842aa467c80a77bc",
            "1e39f68a5a6e47fb9cd96c4f558ada38",
            "f6cda89187b344f89e9cb1165cc4a037",
            "f7e0d594234f4fea9607be7445d79f68",
            "c49c9a3861e94ba8aef8e244943785f9",
            "7d03e2afded04857874f1d23ac735034",
            "a27e32b1efac40a9b5a2af82924347ba",
            "f04e189d886e482bba1828c7cbd15aaf",
            "08527ee58fb043f285b87840c2bff3d4",
            "532d43bb139c4f668ba1ffef933bddd2",
            "d34a70f7df2c415b83cefe7983aa9dc5",
            "bd023ec810ae489a8c2854cd724efe9c",
            "0c07af55f6db4fa795bb9e3847a02baa",
            "fbbcf97a82bc4692b823efaeb91cd489",
            "d265aa77fc69490e9356c403e2a7a82a",
            "cbd011e0ae0740b79c5c1d293ce70409",
            "eead60f4ebdd47f4b647e284ee83ca58",
            "0b091715fa4943de90f6b4b292080227",
            "4c181912da574061b44fb6f4a4aae5c2",
            "8f7ff399c1184d859e9d422d04968953",
            "60a9913d00094f6e92d20360d2543e0c",
            "5d20026e26644746a1f6a1930dc2aaae",
            "c1da385503144d99b4186e439457f16f",
            "74033829f28d4979b7272544959a76b6",
            "1c5e77072ea6424396457d1be6f4706e",
            "b95a2337abd942bdba92e7e407867fbf",
            "b5f17b2b55a6483e90ff734a6639999d",
            "f96d5b0837a44a97bf3a3e33b6cd1ad9",
            "dc122d7ff49645af8e10ca25a728fea9",
            "0b433db66d3d4aec9147a12975519076",
            "ffee705906d24266b2521cc34eaf59f9",
            "8f1127271f3943eb9ad95063990333b0",
            "87e24a0f93074e9fb9305656f179db15",
            "29c8ddcf60c045e59ff7df79daa27cd0",
            "bebc84b068194ac3b7abdccc22bca387",
            "63319166e7884f29953d4b6491997bbd",
            "8f5a8ca7bcaf461ca4cafb5c71636663",
            "2e8f5b955a4f40e988983e04812424e6",
            "6935ead99090429eaa908fb426100f63",
            "4d6137663dc3401490b626051b278f70",
            "373f5a6b9ee04b50b37f56ec0a95474d",
            "6ab0c06f5cc14a178705d00af2f9bc1d",
            "9629cb0f99b34e279e492f4a25ebb8ee",
            "771f6409dba14e7e9917b5f9eb084ac9",
            "bae826233ddd4445a8a16b4397e06f21",
            "5deb37b767a34434bcb32e9c9ccc6515",
            "afe824eec2d942e5b25f15948b903614",
            "085b586dd1fe45c29fe3010bddb8d8ea",
            "76f82a0b20eb46fb95ffa24512db3ecc",
            "eb01198f7f7b4bb6a463768a3ebdea26",
            "ae0bc02c17984c77a9c386e05c1397ef",
            "9f3524ac772c42aa9c13f898b0d5b78c",
            "3e33332cbdea471fa344e2a9286a5644",
            "5c8f03db698c4166922ede27dea14d4a",
            "c1f148193518449d9406df44b8ee6223",
            "d643a144e066433eb093e0ba53f04447",
            "4e186db726fb4208b58d182941087636",
            "62f50963580849b3836d6957badcffc4",
            "c71e4c8101c04fa688414eb928df542c",
            "3cb93c64faa34680a96c685c14a41d4a",
            "f5f5cebb17284600814cafed17713886",
            "bab22bae34bb437c956cc50d86c1c474",
            "0c003434443a4745b8fa9b140767478b",
            "844957aa2da04efaa6def88ab7a475ad",
            "b8ed47cf020b4694abd76552a2bedf2e",
            "359d29dd2d144522b2fd9b3133141d92",
            "91715a2fa4df4694b6cb6ce82815beaf",
            "df4dad291e62448a8f9b5f7fcf97e41e",
            "57a366c7d96946e8a0b7d6ed84dd9509",
            "6ad657a3025e43dd9cfb9098ab0b8d6a",
            "26c30496f6104d46ba9d4d24fd4d1806",
            "4e248a6ebb4e40beb66302d95ca2d4e5",
            "6295693a104f413fb9553d16e87e56aa",
            "e50080f5070344deaef030d1a961de26",
            "7bcf613b99f047ae924691f6d7e4b2eb",
            "f97b82aa981645aea44c5b69be28ebad",
            "2fde473f366a404e975e171afe7137f5",
            "f79f19c86dc948c1b843d25297ab3e96",
            "07280a36315045b988ea449fde58bf01",
            "987fc0233630422a9962ca5e7a928e9e",
            "5d349f717ac745efb44e26335eec6963",
            "16117f10f90643ff97aa9d6022cde509",
            "38d32419aaf54293a470135f531d0f9f",
            "42e3c88ab95442e0b3403db80aaa69ba",
            "832e965a04754bcda54635a83f3347ae",
            "83564008cb5a4302afeff0e75bff6e6d",
            "a6c96969e09f47588e9f392db6099fe3",
            "3b392fb6f837401cad62c2d465c7d41e",
            "84ded9e44b314837bbe21d6ff62a2776",
            "bfed1d61dee4487aa9bf39fffe44776f",
            "826ed052acb943268f3e7f5e17507734"
          ]
        }
      },
      "source": [
        "from torch.optim.lr_scheduler import StepLR\n",
        "\n",
        "model =  Net().to(device)\n",
        "\n",
        "optimizer = optim.SGD(model.parameters(), lr=0.01, momentum=0.9)\n",
        "scheduler = StepLR(optimizer, step_size=6, gamma=0.1)\n",
        "\n",
        "EPOCHS = 15\n",
        "for epoch in range(EPOCHS):\n",
        "    # Print Learning Rate\n",
        "    print(\"EPOCH:\", epoch+1, 'LR:', scheduler.get_lr())\n",
        "    # Train the model\n",
        "    train(model, device, train_loader, optimizer, epoch)\n",
        "    # Decay the Learning Rate\n",
        "    scheduler.step()\n",
        "    # Validate the model\n",
        "    test(model, device, test_loader)"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "EPOCH: 1 LR: [0.01]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "9e8fb6d7a3ec4c3b8dc1732880ee6f04",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(IntProgress(value=0, layout=Layout(flex='2'), max=469), HTML(value='')), layout=Layout(display=…"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "Test set: Average loss: 0.0762, Accuracy: 9780/10000 (97.80%)\n",
            "\n",
            "EPOCH: 2 LR: [0.01]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "a71dad495d094b9cb984a26edae2b89e",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(IntProgress(value=0, layout=Layout(flex='2'), max=469), HTML(value='')), layout=Layout(display=…"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "Test set: Average loss: 0.0536, Accuracy: 9850/10000 (98.50%)\n",
            "\n",
            "EPOCH: 3 LR: [0.01]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "257617e4768244d9b17af25a77ccf31b",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(IntProgress(value=0, layout=Layout(flex='2'), max=469), HTML(value='')), layout=Layout(display=…"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "Test set: Average loss: 0.0437, Accuracy: 9867/10000 (98.67%)\n",
            "\n",
            "EPOCH: 4 LR: [0.01]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "23c40632cecc46e9bc3a3b24e62526a1",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(IntProgress(value=0, layout=Layout(flex='2'), max=469), HTML(value='')), layout=Layout(display=…"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "Test set: Average loss: 0.0392, Accuracy: 9878/10000 (98.78%)\n",
            "\n",
            "EPOCH: 5 LR: [0.01]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "f7e0d594234f4fea9607be7445d79f68",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(IntProgress(value=0, layout=Layout(flex='2'), max=469), HTML(value='')), layout=Layout(display=…"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "Test set: Average loss: 0.0338, Accuracy: 9901/10000 (99.01%)\n",
            "\n",
            "EPOCH: 6 LR: [0.01]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "bd023ec810ae489a8c2854cd724efe9c",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(IntProgress(value=0, layout=Layout(flex='2'), max=469), HTML(value='')), layout=Layout(display=…"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "Test set: Average loss: 0.0335, Accuracy: 9898/10000 (98.98%)\n",
            "\n",
            "EPOCH: 7 LR: [0.0001]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "8f7ff399c1184d859e9d422d04968953",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(IntProgress(value=0, layout=Layout(flex='2'), max=469), HTML(value='')), layout=Layout(display=…"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "Test set: Average loss: 0.0246, Accuracy: 9930/10000 (99.30%)\n",
            "\n",
            "EPOCH: 8 LR: [0.001]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "f96d5b0837a44a97bf3a3e33b6cd1ad9",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(IntProgress(value=0, layout=Layout(flex='2'), max=469), HTML(value='')), layout=Layout(display=…"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "Test set: Average loss: 0.0239, Accuracy: 9930/10000 (99.30%)\n",
            "\n",
            "EPOCH: 9 LR: [0.001]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "63319166e7884f29953d4b6491997bbd",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(IntProgress(value=0, layout=Layout(flex='2'), max=469), HTML(value='')), layout=Layout(display=…"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "Test set: Average loss: 0.0243, Accuracy: 9934/10000 (99.34%)\n",
            "\n",
            "EPOCH: 10 LR: [0.001]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "771f6409dba14e7e9917b5f9eb084ac9",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(IntProgress(value=0, layout=Layout(flex='2'), max=469), HTML(value='')), layout=Layout(display=…"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "Test set: Average loss: 0.0243, Accuracy: 9930/10000 (99.30%)\n",
            "\n",
            "EPOCH: 11 LR: [0.001]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "9f3524ac772c42aa9c13f898b0d5b78c",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(IntProgress(value=0, layout=Layout(flex='2'), max=469), HTML(value='')), layout=Layout(display=…"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "Test set: Average loss: 0.0230, Accuracy: 9937/10000 (99.37%)\n",
            "\n",
            "EPOCH: 12 LR: [0.001]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "3cb93c64faa34680a96c685c14a41d4a",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(IntProgress(value=0, layout=Layout(flex='2'), max=469), HTML(value='')), layout=Layout(display=…"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "Test set: Average loss: 0.0232, Accuracy: 9936/10000 (99.36%)\n",
            "\n",
            "EPOCH: 13 LR: [1e-05]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "df4dad291e62448a8f9b5f7fcf97e41e",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(IntProgress(value=0, layout=Layout(flex='2'), max=469), HTML(value='')), layout=Layout(display=…"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "Test set: Average loss: 0.0230, Accuracy: 9935/10000 (99.35%)\n",
            "\n",
            "EPOCH: 14 LR: [0.0001]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "f97b82aa981645aea44c5b69be28ebad",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(IntProgress(value=0, layout=Layout(flex='2'), max=469), HTML(value='')), layout=Layout(display=…"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "Test set: Average loss: 0.0233, Accuracy: 9934/10000 (99.34%)\n",
            "\n",
            "EPOCH: 15 LR: [0.0001]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "42e3c88ab95442e0b3403db80aaa69ba",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(IntProgress(value=0, layout=Layout(flex='2'), max=469), HTML(value='')), layout=Layout(display=…"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "Test set: Average loss: 0.0229, Accuracy: 9935/10000 (99.35%)\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "drokW8wWODKq",
        "colab_type": "text"
      },
      "source": [
        "# Plot the model's learning progress\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "87RaqGSEOWDe",
        "colab_type": "code",
        "outputId": "716eeaff-9188-4f7e-d6d8-98d5efe673ae",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 610
        }
      },
      "source": [
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "sns.set()\n",
        "plt.style.use(\"dark_background\")\n",
        "\n",
        "fig, axs = plt.subplots(2,2,figsize=(15,10))\n",
        "axs[0, 0].plot(train_losses)\n",
        "axs[0, 0].set_title(\"Training Loss\")\n",
        "axs[1, 0].plot(train_acc[4000:])\n",
        "axs[1, 0].set_title(\"Training Accuracy\")\n",
        "axs[0, 1].plot(test_losses)\n",
        "axs[0, 1].set_title(\"Test Loss\")\n",
        "axs[1, 1].plot(test_acc)\n",
        "axs[1, 1].set_title(\"Test Accuracy\")\n",
        "plt.show()"
      ],
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAA3wAAAJRCAYAAAAeUbV+AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ngg==\n",
            "text/plain": [
              "<Figure size 1080x720 with 4 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wjO3RK9UEnvF",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    }
  ]
}