Brain_Tumor_Classification.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "id": "CsLssfJHyStl"
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import random\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "import cv2\n",
    "from tqdm import tqdm\n",
    "from PIL import Image\n",
    "import io\n",
    "\n",
    "from sklearn.utils import shuffle\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import classification_report, confusion_matrix\n",
    "\n",
    "import tensorflow as tf\n",
    "import tensorflow.keras\n",
    "from tensorflow.keras.preprocessing.image import load_img, ImageDataGenerator\n",
    "from tensorflow.keras import layers\n",
    "from tensorflow.keras.layers import *\n",
    "from tensorflow.keras.applications.vgg16 import VGG16\n",
    "from tensorflow.keras.applications import EfficientNetB0, EfficientNetB2, EfficientNetB3\n",
    "from tensorflow.keras.models import *\n",
    "from tensorflow.keras.losses import *\n",
    "from tensorflow.keras.optimizers import *\n",
    "from tensorflow.keras.callbacks import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "id": "Ef7bmgrOzsVF"
   },
   "outputs": [],
   "source": [
    "os.environ['KAGGLE_USERNAME'] = ''\n",
    "os.environ['KAGGLE_KEY'] = ''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "mvFCKuK7sOpN",
    "outputId": "0334ccf9-4a8c-420b-baf5-63509c91ab7a"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2.7.0\n"
     ]
    }
   ],
   "source": [
    "import tensorflow as tf\n",
    "print(tf. __version__) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "WBxvxooVz9of",
    "outputId": "48227394-5ba7-4466-dcd7-18b66f51d626"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading brain-tumor-mri-dataset.zip to /content\n",
      " 98% 145M/149M [00:04<00:00, 24.2MB/s]\n",
      "100% 149M/149M [00:04<00:00, 34.9MB/s]\n"
     ]
    }
   ],
   "source": [
    "!kaggle datasets download -d masoudnickparvar/brain-tumor-mri-dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "PD_HQuxL0MES",
    "outputId": "792b4dd2-3fd3-4370-f75b-7f5dce6b6c2b"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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     ]
    }
   ],
   "source": [
    "!unzip brain-tumor-mri-dataset.zip"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "X3fXb1s_zORf"
   },
   "source": [
    "# Data Prepocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "8LWLKgn8NiJV",
    "outputId": "becf4916-30c6-432b-cdb3-da4bff4b94f2"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 1321/1321 [00:06<00:00, 193.87it/s]\n",
      "100%|██████████| 300/300 [00:01<00:00, 155.42it/s]\n",
      "100%|██████████| 1339/1339 [00:09<00:00, 144.27it/s]\n",
      "100%|██████████| 306/306 [00:01<00:00, 164.53it/s]\n",
      "100%|██████████| 1595/1595 [00:04<00:00, 359.03it/s]\n",
      "100%|██████████| 405/405 [00:00<00:00, 568.53it/s]\n",
      "100%|██████████| 1457/1457 [00:04<00:00, 329.05it/s]\n",
      "100%|██████████| 300/300 [00:00<00:00, 371.09it/s]\n"
     ]
    }
   ],
   "source": [
    "path = os.getcwd()\n",
    "labels = ['glioma', 'meningioma', 'notumor', 'pituitary']\n",
    "X_train = []\n",
    "Y_train  = []\n",
    "X_test = []\n",
    "Y_test = []\n",
    "image_size=256\n",
    "\n",
    "for label in labels:\n",
    "    trainPath = os.path.join(path,'Training/'+label)\n",
    "    for file in tqdm(os.listdir(trainPath)):\n",
    "        image = cv2.imread(os.path.join(trainPath, file))\n",
    "        image = cv2.resize(image, (image_size, image_size))\n",
    "        X_train.append(image)\n",
    "        Y_train.append(label)\n",
    "    \n",
    "    testPath = os.path.join(path,'Testing/'+label)\n",
    "    for file in tqdm(os.listdir(testPath)):\n",
    "        image = cv2.imread(os.path.join(testPath, file))\n",
    "        image = cv2.resize(image, (image_size, image_size))\n",
    "        X_test.append(image)\n",
    "        Y_test.append(label)\n",
    "    \n",
    "X_train = np.array(X_train)\n",
    "X_test = np.array(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "id": "_iglg-NRNkmw"
   },
   "outputs": [],
   "source": [
    "X_train, Y_train = shuffle(X_train, Y_train, random_state=2021)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 337
    },
    "id": "3eUnCig0Nm0v",
    "outputId": "466f12e8-3dee-4c37-ec41-5aec363fa56b"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/dist-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  FutureWarning\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa14ad05790>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(Y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 337
    },
    "id": "bzmiYMgQNnVA",
    "outputId": "e912c352-f476-4c80-e0f1-696c5fdc33e1"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/dist-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  FutureWarning\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa0c6811250>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(Y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "id": "LwiiRlpjNruK"
   },
   "outputs": [],
   "source": [
    "y_train_ = []\n",
    "for i in Y_train:\n",
    "    y_train_.append(labels.index(i))\n",
    "Y_train = y_train_\n",
    "\n",
    "Y_train = tf.keras.utils.to_categorical(Y_train)\n",
    "\n",
    "y_test_ = []\n",
    "for i in Y_test:\n",
    "    y_test_.append(labels.index(i))\n",
    "Y_test = y_test_\n",
    "\n",
    "Y_test = tf.keras.utils.to_categorical(Y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "id": "etFSNYslNsUG"
   },
   "outputs": [],
   "source": [
    "X_train, X_val, Y_train, Y_val = train_test_split(X_train, Y_train, test_size=0.2, random_state=2021)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "5gsgifXSNfdJ"
   },
   "source": [
    "# EfficientNetB3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "yOmCM_EvNto_",
    "outputId": "6d879a06-5334-445b-f92c-898c1280daf0"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading data from https://storage.googleapis.com/keras-applications/efficientnetb3_notop.h5\n",
      "43941888/43941136 [==============================] - 2s 0us/step\n",
      "43950080/43941136 [==============================] - 2s 0us/step\n",
      "Model: \"model\"\n",
      "__________________________________________________________________________________________________\n",
      " Layer (type)                   Output Shape         Param #     Connected to                     \n",
      "==================================================================================================\n",
      " input_1 (InputLayer)           [(None, 256, 256, 3  0           []                               \n",
      "                                )]                                                                \n",
      "                                                                                                  \n",
      " rescaling (Rescaling)          (None, 256, 256, 3)  0           ['input_1[0][0]']                \n",
      "                                                                                                  \n",
      " normalization (Normalization)  (None, 256, 256, 3)  7           ['rescaling[0][0]']              \n",
      "                                                                                                  \n",
      " stem_conv_pad (ZeroPadding2D)  (None, 257, 257, 3)  0           ['normalization[0][0]']          \n",
      "                                                                                                  \n",
      " stem_conv (Conv2D)             (None, 128, 128, 40  1080        ['stem_conv_pad[0][0]']          \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " stem_bn (BatchNormalization)   (None, 128, 128, 40  160         ['stem_conv[0][0]']              \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " stem_activation (Activation)   (None, 128, 128, 40  0           ['stem_bn[0][0]']                \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " block1a_dwconv (DepthwiseConv2  (None, 128, 128, 40  360        ['stem_activation[0][0]']        \n",
      " D)                             )                                                                 \n",
      "                                                                                                  \n",
      " block1a_bn (BatchNormalization  (None, 128, 128, 40  160        ['block1a_dwconv[0][0]']         \n",
      " )                              )                                                                 \n",
      "                                                                                                  \n",
      " block1a_activation (Activation  (None, 128, 128, 40  0          ['block1a_bn[0][0]']             \n",
      " )                              )                                                                 \n",
      "                                                                                                  \n",
      " block1a_se_squeeze (GlobalAver  (None, 40)          0           ['block1a_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block1a_se_reshape (Reshape)   (None, 1, 1, 40)     0           ['block1a_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block1a_se_reduce (Conv2D)     (None, 1, 1, 10)     410         ['block1a_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block1a_se_expand (Conv2D)     (None, 1, 1, 40)     440         ['block1a_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block1a_se_excite (Multiply)   (None, 128, 128, 40  0           ['block1a_activation[0][0]',     \n",
      "                                )                                 'block1a_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block1a_project_conv (Conv2D)  (None, 128, 128, 24  960         ['block1a_se_excite[0][0]']      \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " block1a_project_bn (BatchNorma  (None, 128, 128, 24  96         ['block1a_project_conv[0][0]']   \n",
      " lization)                      )                                                                 \n",
      "                                                                                                  \n",
      " block1b_dwconv (DepthwiseConv2  (None, 128, 128, 24  216        ['block1a_project_bn[0][0]']     \n",
      " D)                             )                                                                 \n",
      "                                                                                                  \n",
      " block1b_bn (BatchNormalization  (None, 128, 128, 24  96         ['block1b_dwconv[0][0]']         \n",
      " )                              )                                                                 \n",
      "                                                                                                  \n",
      " block1b_activation (Activation  (None, 128, 128, 24  0          ['block1b_bn[0][0]']             \n",
      " )                              )                                                                 \n",
      "                                                                                                  \n",
      " block1b_se_squeeze (GlobalAver  (None, 24)          0           ['block1b_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block1b_se_reshape (Reshape)   (None, 1, 1, 24)     0           ['block1b_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block1b_se_reduce (Conv2D)     (None, 1, 1, 6)      150         ['block1b_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block1b_se_expand (Conv2D)     (None, 1, 1, 24)     168         ['block1b_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block1b_se_excite (Multiply)   (None, 128, 128, 24  0           ['block1b_activation[0][0]',     \n",
      "                                )                                 'block1b_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block1b_project_conv (Conv2D)  (None, 128, 128, 24  576         ['block1b_se_excite[0][0]']      \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " block1b_project_bn (BatchNorma  (None, 128, 128, 24  96         ['block1b_project_conv[0][0]']   \n",
      " lization)                      )                                                                 \n",
      "                                                                                                  \n",
      " block1b_drop (Dropout)         (None, 128, 128, 24  0           ['block1b_project_bn[0][0]']     \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " block1b_add (Add)              (None, 128, 128, 24  0           ['block1b_drop[0][0]',           \n",
      "                                )                                 'block1a_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block2a_expand_conv (Conv2D)   (None, 128, 128, 14  3456        ['block1b_add[0][0]']            \n",
      "                                4)                                                                \n",
      "                                                                                                  \n",
      " block2a_expand_bn (BatchNormal  (None, 128, 128, 14  576        ['block2a_expand_conv[0][0]']    \n",
      " ization)                       4)                                                                \n",
      "                                                                                                  \n",
      " block2a_expand_activation (Act  (None, 128, 128, 14  0          ['block2a_expand_bn[0][0]']      \n",
      " ivation)                       4)                                                                \n",
      "                                                                                                  \n",
      " block2a_dwconv_pad (ZeroPaddin  (None, 129, 129, 14  0          ['block2a_expand_activation[0][0]\n",
      " g2D)                           4)                               ']                               \n",
      "                                                                                                  \n",
      " block2a_dwconv (DepthwiseConv2  (None, 64, 64, 144)  1296       ['block2a_dwconv_pad[0][0]']     \n",
      " D)                                                                                               \n",
      "                                                                                                  \n",
      " block2a_bn (BatchNormalization  (None, 64, 64, 144)  576        ['block2a_dwconv[0][0]']         \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block2a_activation (Activation  (None, 64, 64, 144)  0          ['block2a_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block2a_se_squeeze (GlobalAver  (None, 144)         0           ['block2a_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block2a_se_reshape (Reshape)   (None, 1, 1, 144)    0           ['block2a_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block2a_se_reduce (Conv2D)     (None, 1, 1, 6)      870         ['block2a_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block2a_se_expand (Conv2D)     (None, 1, 1, 144)    1008        ['block2a_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block2a_se_excite (Multiply)   (None, 64, 64, 144)  0           ['block2a_activation[0][0]',     \n",
      "                                                                  'block2a_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block2a_project_conv (Conv2D)  (None, 64, 64, 32)   4608        ['block2a_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block2a_project_bn (BatchNorma  (None, 64, 64, 32)  128         ['block2a_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block2b_expand_conv (Conv2D)   (None, 64, 64, 192)  6144        ['block2a_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block2b_expand_bn (BatchNormal  (None, 64, 64, 192)  768        ['block2b_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block2b_expand_activation (Act  (None, 64, 64, 192)  0          ['block2b_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block2b_dwconv (DepthwiseConv2  (None, 64, 64, 192)  1728       ['block2b_expand_activation[0][0]\n",
      " D)                                                              ']                               \n",
      "                                                                                                  \n",
      " block2b_bn (BatchNormalization  (None, 64, 64, 192)  768        ['block2b_dwconv[0][0]']         \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block2b_activation (Activation  (None, 64, 64, 192)  0          ['block2b_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block2b_se_squeeze (GlobalAver  (None, 192)         0           ['block2b_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block2b_se_reshape (Reshape)   (None, 1, 1, 192)    0           ['block2b_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block2b_se_reduce (Conv2D)     (None, 1, 1, 8)      1544        ['block2b_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block2b_se_expand (Conv2D)     (None, 1, 1, 192)    1728        ['block2b_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block2b_se_excite (Multiply)   (None, 64, 64, 192)  0           ['block2b_activation[0][0]',     \n",
      "                                                                  'block2b_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block2b_project_conv (Conv2D)  (None, 64, 64, 32)   6144        ['block2b_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block2b_project_bn (BatchNorma  (None, 64, 64, 32)  128         ['block2b_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block2b_drop (Dropout)         (None, 64, 64, 32)   0           ['block2b_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block2b_add (Add)              (None, 64, 64, 32)   0           ['block2b_drop[0][0]',           \n",
      "                                                                  'block2a_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block2c_expand_conv (Conv2D)   (None, 64, 64, 192)  6144        ['block2b_add[0][0]']            \n",
      "                                                                                                  \n",
      " block2c_expand_bn (BatchNormal  (None, 64, 64, 192)  768        ['block2c_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block2c_expand_activation (Act  (None, 64, 64, 192)  0          ['block2c_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block2c_dwconv (DepthwiseConv2  (None, 64, 64, 192)  1728       ['block2c_expand_activation[0][0]\n",
      " D)                                                              ']                               \n",
      "                                                                                                  \n",
      " block2c_bn (BatchNormalization  (None, 64, 64, 192)  768        ['block2c_dwconv[0][0]']         \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block2c_activation (Activation  (None, 64, 64, 192)  0          ['block2c_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block2c_se_squeeze (GlobalAver  (None, 192)         0           ['block2c_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block2c_se_reshape (Reshape)   (None, 1, 1, 192)    0           ['block2c_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block2c_se_reduce (Conv2D)     (None, 1, 1, 8)      1544        ['block2c_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block2c_se_expand (Conv2D)     (None, 1, 1, 192)    1728        ['block2c_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block2c_se_excite (Multiply)   (None, 64, 64, 192)  0           ['block2c_activation[0][0]',     \n",
      "                                                                  'block2c_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block2c_project_conv (Conv2D)  (None, 64, 64, 32)   6144        ['block2c_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block2c_project_bn (BatchNorma  (None, 64, 64, 32)  128         ['block2c_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block2c_drop (Dropout)         (None, 64, 64, 32)   0           ['block2c_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block2c_add (Add)              (None, 64, 64, 32)   0           ['block2c_drop[0][0]',           \n",
      "                                                                  'block2b_add[0][0]']            \n",
      "                                                                                                  \n",
      " block3a_expand_conv (Conv2D)   (None, 64, 64, 192)  6144        ['block2c_add[0][0]']            \n",
      "                                                                                                  \n",
      " block3a_expand_bn (BatchNormal  (None, 64, 64, 192)  768        ['block3a_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block3a_expand_activation (Act  (None, 64, 64, 192)  0          ['block3a_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block3a_dwconv_pad (ZeroPaddin  (None, 67, 67, 192)  0          ['block3a_expand_activation[0][0]\n",
      " g2D)                                                            ']                               \n",
      "                                                                                                  \n",
      " block3a_dwconv (DepthwiseConv2  (None, 32, 32, 192)  4800       ['block3a_dwconv_pad[0][0]']     \n",
      " D)                                                                                               \n",
      "                                                                                                  \n",
      " block3a_bn (BatchNormalization  (None, 32, 32, 192)  768        ['block3a_dwconv[0][0]']         \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block3a_activation (Activation  (None, 32, 32, 192)  0          ['block3a_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block3a_se_squeeze (GlobalAver  (None, 192)         0           ['block3a_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block3a_se_reshape (Reshape)   (None, 1, 1, 192)    0           ['block3a_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block3a_se_reduce (Conv2D)     (None, 1, 1, 8)      1544        ['block3a_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block3a_se_expand (Conv2D)     (None, 1, 1, 192)    1728        ['block3a_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block3a_se_excite (Multiply)   (None, 32, 32, 192)  0           ['block3a_activation[0][0]',     \n",
      "                                                                  'block3a_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block3a_project_conv (Conv2D)  (None, 32, 32, 48)   9216        ['block3a_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block3a_project_bn (BatchNorma  (None, 32, 32, 48)  192         ['block3a_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block3b_expand_conv (Conv2D)   (None, 32, 32, 288)  13824       ['block3a_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block3b_expand_bn (BatchNormal  (None, 32, 32, 288)  1152       ['block3b_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block3b_expand_activation (Act  (None, 32, 32, 288)  0          ['block3b_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block3b_dwconv (DepthwiseConv2  (None, 32, 32, 288)  7200       ['block3b_expand_activation[0][0]\n",
      " D)                                                              ']                               \n",
      "                                                                                                  \n",
      " block3b_bn (BatchNormalization  (None, 32, 32, 288)  1152       ['block3b_dwconv[0][0]']         \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block3b_activation (Activation  (None, 32, 32, 288)  0          ['block3b_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block3b_se_squeeze (GlobalAver  (None, 288)         0           ['block3b_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block3b_se_reshape (Reshape)   (None, 1, 1, 288)    0           ['block3b_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block3b_se_reduce (Conv2D)     (None, 1, 1, 12)     3468        ['block3b_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block3b_se_expand (Conv2D)     (None, 1, 1, 288)    3744        ['block3b_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block3b_se_excite (Multiply)   (None, 32, 32, 288)  0           ['block3b_activation[0][0]',     \n",
      "                                                                  'block3b_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block3b_project_conv (Conv2D)  (None, 32, 32, 48)   13824       ['block3b_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block3b_project_bn (BatchNorma  (None, 32, 32, 48)  192         ['block3b_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block3b_drop (Dropout)         (None, 32, 32, 48)   0           ['block3b_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block3b_add (Add)              (None, 32, 32, 48)   0           ['block3b_drop[0][0]',           \n",
      "                                                                  'block3a_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block3c_expand_conv (Conv2D)   (None, 32, 32, 288)  13824       ['block3b_add[0][0]']            \n",
      "                                                                                                  \n",
      " block3c_expand_bn (BatchNormal  (None, 32, 32, 288)  1152       ['block3c_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block3c_expand_activation (Act  (None, 32, 32, 288)  0          ['block3c_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block3c_dwconv (DepthwiseConv2  (None, 32, 32, 288)  7200       ['block3c_expand_activation[0][0]\n",
      " D)                                                              ']                               \n",
      "                                                                                                  \n",
      " block3c_bn (BatchNormalization  (None, 32, 32, 288)  1152       ['block3c_dwconv[0][0]']         \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block3c_activation (Activation  (None, 32, 32, 288)  0          ['block3c_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block3c_se_squeeze (GlobalAver  (None, 288)         0           ['block3c_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block3c_se_reshape (Reshape)   (None, 1, 1, 288)    0           ['block3c_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block3c_se_reduce (Conv2D)     (None, 1, 1, 12)     3468        ['block3c_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block3c_se_expand (Conv2D)     (None, 1, 1, 288)    3744        ['block3c_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block3c_se_excite (Multiply)   (None, 32, 32, 288)  0           ['block3c_activation[0][0]',     \n",
      "                                                                  'block3c_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block3c_project_conv (Conv2D)  (None, 32, 32, 48)   13824       ['block3c_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block3c_project_bn (BatchNorma  (None, 32, 32, 48)  192         ['block3c_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block3c_drop (Dropout)         (None, 32, 32, 48)   0           ['block3c_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block3c_add (Add)              (None, 32, 32, 48)   0           ['block3c_drop[0][0]',           \n",
      "                                                                  'block3b_add[0][0]']            \n",
      "                                                                                                  \n",
      " block4a_expand_conv (Conv2D)   (None, 32, 32, 288)  13824       ['block3c_add[0][0]']            \n",
      "                                                                                                  \n",
      " block4a_expand_bn (BatchNormal  (None, 32, 32, 288)  1152       ['block4a_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block4a_expand_activation (Act  (None, 32, 32, 288)  0          ['block4a_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block4a_dwconv_pad (ZeroPaddin  (None, 33, 33, 288)  0          ['block4a_expand_activation[0][0]\n",
      " g2D)                                                            ']                               \n",
      "                                                                                                  \n",
      " block4a_dwconv (DepthwiseConv2  (None, 16, 16, 288)  2592       ['block4a_dwconv_pad[0][0]']     \n",
      " D)                                                                                               \n",
      "                                                                                                  \n",
      " block4a_bn (BatchNormalization  (None, 16, 16, 288)  1152       ['block4a_dwconv[0][0]']         \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block4a_activation (Activation  (None, 16, 16, 288)  0          ['block4a_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block4a_se_squeeze (GlobalAver  (None, 288)         0           ['block4a_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block4a_se_reshape (Reshape)   (None, 1, 1, 288)    0           ['block4a_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block4a_se_reduce (Conv2D)     (None, 1, 1, 12)     3468        ['block4a_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block4a_se_expand (Conv2D)     (None, 1, 1, 288)    3744        ['block4a_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block4a_se_excite (Multiply)   (None, 16, 16, 288)  0           ['block4a_activation[0][0]',     \n",
      "                                                                  'block4a_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block4a_project_conv (Conv2D)  (None, 16, 16, 96)   27648       ['block4a_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block4a_project_bn (BatchNorma  (None, 16, 16, 96)  384         ['block4a_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block4b_expand_conv (Conv2D)   (None, 16, 16, 576)  55296       ['block4a_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block4b_expand_bn (BatchNormal  (None, 16, 16, 576)  2304       ['block4b_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block4b_expand_activation (Act  (None, 16, 16, 576)  0          ['block4b_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block4b_dwconv (DepthwiseConv2  (None, 16, 16, 576)  5184       ['block4b_expand_activation[0][0]\n",
      " D)                                                              ']                               \n",
      "                                                                                                  \n",
      " block4b_bn (BatchNormalization  (None, 16, 16, 576)  2304       ['block4b_dwconv[0][0]']         \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block4b_activation (Activation  (None, 16, 16, 576)  0          ['block4b_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block4b_se_squeeze (GlobalAver  (None, 576)         0           ['block4b_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block4b_se_reshape (Reshape)   (None, 1, 1, 576)    0           ['block4b_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block4b_se_reduce (Conv2D)     (None, 1, 1, 24)     13848       ['block4b_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block4b_se_expand (Conv2D)     (None, 1, 1, 576)    14400       ['block4b_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block4b_se_excite (Multiply)   (None, 16, 16, 576)  0           ['block4b_activation[0][0]',     \n",
      "                                                                  'block4b_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block4b_project_conv (Conv2D)  (None, 16, 16, 96)   55296       ['block4b_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block4b_project_bn (BatchNorma  (None, 16, 16, 96)  384         ['block4b_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block4b_drop (Dropout)         (None, 16, 16, 96)   0           ['block4b_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block4b_add (Add)              (None, 16, 16, 96)   0           ['block4b_drop[0][0]',           \n",
      "                                                                  'block4a_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block4c_expand_conv (Conv2D)   (None, 16, 16, 576)  55296       ['block4b_add[0][0]']            \n",
      "                                                                                                  \n",
      " block4c_expand_bn (BatchNormal  (None, 16, 16, 576)  2304       ['block4c_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block4c_expand_activation (Act  (None, 16, 16, 576)  0          ['block4c_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block4c_dwconv (DepthwiseConv2  (None, 16, 16, 576)  5184       ['block4c_expand_activation[0][0]\n",
      " D)                                                              ']                               \n",
      "                                                                                                  \n",
      " block4c_bn (BatchNormalization  (None, 16, 16, 576)  2304       ['block4c_dwconv[0][0]']         \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block4c_activation (Activation  (None, 16, 16, 576)  0          ['block4c_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block4c_se_squeeze (GlobalAver  (None, 576)         0           ['block4c_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block4c_se_reshape (Reshape)   (None, 1, 1, 576)    0           ['block4c_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block4c_se_reduce (Conv2D)     (None, 1, 1, 24)     13848       ['block4c_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block4c_se_expand (Conv2D)     (None, 1, 1, 576)    14400       ['block4c_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block4c_se_excite (Multiply)   (None, 16, 16, 576)  0           ['block4c_activation[0][0]',     \n",
      "                                                                  'block4c_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block4c_project_conv (Conv2D)  (None, 16, 16, 96)   55296       ['block4c_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block4c_project_bn (BatchNorma  (None, 16, 16, 96)  384         ['block4c_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block4c_drop (Dropout)         (None, 16, 16, 96)   0           ['block4c_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block4c_add (Add)              (None, 16, 16, 96)   0           ['block4c_drop[0][0]',           \n",
      "                                                                  'block4b_add[0][0]']            \n",
      "                                                                                                  \n",
      " block4d_expand_conv (Conv2D)   (None, 16, 16, 576)  55296       ['block4c_add[0][0]']            \n",
      "                                                                                                  \n",
      " block4d_expand_bn (BatchNormal  (None, 16, 16, 576)  2304       ['block4d_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block4d_expand_activation (Act  (None, 16, 16, 576)  0          ['block4d_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block4d_dwconv (DepthwiseConv2  (None, 16, 16, 576)  5184       ['block4d_expand_activation[0][0]\n",
      " D)                                                              ']                               \n",
      "                                                                                                  \n",
      " block4d_bn (BatchNormalization  (None, 16, 16, 576)  2304       ['block4d_dwconv[0][0]']         \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block4d_activation (Activation  (None, 16, 16, 576)  0          ['block4d_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block4d_se_squeeze (GlobalAver  (None, 576)         0           ['block4d_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block4d_se_reshape (Reshape)   (None, 1, 1, 576)    0           ['block4d_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block4d_se_reduce (Conv2D)     (None, 1, 1, 24)     13848       ['block4d_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block4d_se_expand (Conv2D)     (None, 1, 1, 576)    14400       ['block4d_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block4d_se_excite (Multiply)   (None, 16, 16, 576)  0           ['block4d_activation[0][0]',     \n",
      "                                                                  'block4d_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block4d_project_conv (Conv2D)  (None, 16, 16, 96)   55296       ['block4d_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block4d_project_bn (BatchNorma  (None, 16, 16, 96)  384         ['block4d_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block4d_drop (Dropout)         (None, 16, 16, 96)   0           ['block4d_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block4d_add (Add)              (None, 16, 16, 96)   0           ['block4d_drop[0][0]',           \n",
      "                                                                  'block4c_add[0][0]']            \n",
      "                                                                                                  \n",
      " block4e_expand_conv (Conv2D)   (None, 16, 16, 576)  55296       ['block4d_add[0][0]']            \n",
      "                                                                                                  \n",
      " block4e_expand_bn (BatchNormal  (None, 16, 16, 576)  2304       ['block4e_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block4e_expand_activation (Act  (None, 16, 16, 576)  0          ['block4e_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block4e_dwconv (DepthwiseConv2  (None, 16, 16, 576)  5184       ['block4e_expand_activation[0][0]\n",
      " D)                                                              ']                               \n",
      "                                                                                                  \n",
      " block4e_bn (BatchNormalization  (None, 16, 16, 576)  2304       ['block4e_dwconv[0][0]']         \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block4e_activation (Activation  (None, 16, 16, 576)  0          ['block4e_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block4e_se_squeeze (GlobalAver  (None, 576)         0           ['block4e_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block4e_se_reshape (Reshape)   (None, 1, 1, 576)    0           ['block4e_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block4e_se_reduce (Conv2D)     (None, 1, 1, 24)     13848       ['block4e_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block4e_se_expand (Conv2D)     (None, 1, 1, 576)    14400       ['block4e_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block4e_se_excite (Multiply)   (None, 16, 16, 576)  0           ['block4e_activation[0][0]',     \n",
      "                                                                  'block4e_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block4e_project_conv (Conv2D)  (None, 16, 16, 96)   55296       ['block4e_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block4e_project_bn (BatchNorma  (None, 16, 16, 96)  384         ['block4e_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block4e_drop (Dropout)         (None, 16, 16, 96)   0           ['block4e_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block4e_add (Add)              (None, 16, 16, 96)   0           ['block4e_drop[0][0]',           \n",
      "                                                                  'block4d_add[0][0]']            \n",
      "                                                                                                  \n",
      " block5a_expand_conv (Conv2D)   (None, 16, 16, 576)  55296       ['block4e_add[0][0]']            \n",
      "                                                                                                  \n",
      " block5a_expand_bn (BatchNormal  (None, 16, 16, 576)  2304       ['block5a_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block5a_expand_activation (Act  (None, 16, 16, 576)  0          ['block5a_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block5a_dwconv (DepthwiseConv2  (None, 16, 16, 576)  14400      ['block5a_expand_activation[0][0]\n",
      " D)                                                              ']                               \n",
      "                                                                                                  \n",
      " block5a_bn (BatchNormalization  (None, 16, 16, 576)  2304       ['block5a_dwconv[0][0]']         \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block5a_activation (Activation  (None, 16, 16, 576)  0          ['block5a_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block5a_se_squeeze (GlobalAver  (None, 576)         0           ['block5a_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block5a_se_reshape (Reshape)   (None, 1, 1, 576)    0           ['block5a_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block5a_se_reduce (Conv2D)     (None, 1, 1, 24)     13848       ['block5a_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block5a_se_expand (Conv2D)     (None, 1, 1, 576)    14400       ['block5a_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block5a_se_excite (Multiply)   (None, 16, 16, 576)  0           ['block5a_activation[0][0]',     \n",
      "                                                                  'block5a_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block5a_project_conv (Conv2D)  (None, 16, 16, 136)  78336       ['block5a_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block5a_project_bn (BatchNorma  (None, 16, 16, 136)  544        ['block5a_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block5b_expand_conv (Conv2D)   (None, 16, 16, 816)  110976      ['block5a_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block5b_expand_bn (BatchNormal  (None, 16, 16, 816)  3264       ['block5b_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block5b_expand_activation (Act  (None, 16, 16, 816)  0          ['block5b_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block5b_dwconv (DepthwiseConv2  (None, 16, 16, 816)  20400      ['block5b_expand_activation[0][0]\n",
      " D)                                                              ']                               \n",
      "                                                                                                  \n",
      " block5b_bn (BatchNormalization  (None, 16, 16, 816)  3264       ['block5b_dwconv[0][0]']         \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block5b_activation (Activation  (None, 16, 16, 816)  0          ['block5b_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block5b_se_squeeze (GlobalAver  (None, 816)         0           ['block5b_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block5b_se_reshape (Reshape)   (None, 1, 1, 816)    0           ['block5b_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block5b_se_reduce (Conv2D)     (None, 1, 1, 34)     27778       ['block5b_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block5b_se_expand (Conv2D)     (None, 1, 1, 816)    28560       ['block5b_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block5b_se_excite (Multiply)   (None, 16, 16, 816)  0           ['block5b_activation[0][0]',     \n",
      "                                                                  'block5b_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block5b_project_conv (Conv2D)  (None, 16, 16, 136)  110976      ['block5b_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block5b_project_bn (BatchNorma  (None, 16, 16, 136)  544        ['block5b_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block5b_drop (Dropout)         (None, 16, 16, 136)  0           ['block5b_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block5b_add (Add)              (None, 16, 16, 136)  0           ['block5b_drop[0][0]',           \n",
      "                                                                  'block5a_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block5c_expand_conv (Conv2D)   (None, 16, 16, 816)  110976      ['block5b_add[0][0]']            \n",
      "                                                                                                  \n",
      " block5c_expand_bn (BatchNormal  (None, 16, 16, 816)  3264       ['block5c_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block5c_expand_activation (Act  (None, 16, 16, 816)  0          ['block5c_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block5c_dwconv (DepthwiseConv2  (None, 16, 16, 816)  20400      ['block5c_expand_activation[0][0]\n",
      " D)                                                              ']                               \n",
      "                                                                                                  \n",
      " block5c_bn (BatchNormalization  (None, 16, 16, 816)  3264       ['block5c_dwconv[0][0]']         \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block5c_activation (Activation  (None, 16, 16, 816)  0          ['block5c_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block5c_se_squeeze (GlobalAver  (None, 816)         0           ['block5c_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block5c_se_reshape (Reshape)   (None, 1, 1, 816)    0           ['block5c_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block5c_se_reduce (Conv2D)     (None, 1, 1, 34)     27778       ['block5c_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block5c_se_expand (Conv2D)     (None, 1, 1, 816)    28560       ['block5c_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block5c_se_excite (Multiply)   (None, 16, 16, 816)  0           ['block5c_activation[0][0]',     \n",
      "                                                                  'block5c_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block5c_project_conv (Conv2D)  (None, 16, 16, 136)  110976      ['block5c_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block5c_project_bn (BatchNorma  (None, 16, 16, 136)  544        ['block5c_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block5c_drop (Dropout)         (None, 16, 16, 136)  0           ['block5c_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block5c_add (Add)              (None, 16, 16, 136)  0           ['block5c_drop[0][0]',           \n",
      "                                                                  'block5b_add[0][0]']            \n",
      "                                                                                                  \n",
      " block5d_expand_conv (Conv2D)   (None, 16, 16, 816)  110976      ['block5c_add[0][0]']            \n",
      "                                                                                                  \n",
      " block5d_expand_bn (BatchNormal  (None, 16, 16, 816)  3264       ['block5d_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block5d_expand_activation (Act  (None, 16, 16, 816)  0          ['block5d_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block5d_dwconv (DepthwiseConv2  (None, 16, 16, 816)  20400      ['block5d_expand_activation[0][0]\n",
      " D)                                                              ']                               \n",
      "                                                                                                  \n",
      " block5d_bn (BatchNormalization  (None, 16, 16, 816)  3264       ['block5d_dwconv[0][0]']         \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block5d_activation (Activation  (None, 16, 16, 816)  0          ['block5d_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block5d_se_squeeze (GlobalAver  (None, 816)         0           ['block5d_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block5d_se_reshape (Reshape)   (None, 1, 1, 816)    0           ['block5d_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block5d_se_reduce (Conv2D)     (None, 1, 1, 34)     27778       ['block5d_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block5d_se_expand (Conv2D)     (None, 1, 1, 816)    28560       ['block5d_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block5d_se_excite (Multiply)   (None, 16, 16, 816)  0           ['block5d_activation[0][0]',     \n",
      "                                                                  'block5d_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block5d_project_conv (Conv2D)  (None, 16, 16, 136)  110976      ['block5d_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block5d_project_bn (BatchNorma  (None, 16, 16, 136)  544        ['block5d_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block5d_drop (Dropout)         (None, 16, 16, 136)  0           ['block5d_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block5d_add (Add)              (None, 16, 16, 136)  0           ['block5d_drop[0][0]',           \n",
      "                                                                  'block5c_add[0][0]']            \n",
      "                                                                                                  \n",
      " block5e_expand_conv (Conv2D)   (None, 16, 16, 816)  110976      ['block5d_add[0][0]']            \n",
      "                                                                                                  \n",
      " block5e_expand_bn (BatchNormal  (None, 16, 16, 816)  3264       ['block5e_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block5e_expand_activation (Act  (None, 16, 16, 816)  0          ['block5e_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block5e_dwconv (DepthwiseConv2  (None, 16, 16, 816)  20400      ['block5e_expand_activation[0][0]\n",
      " D)                                                              ']                               \n",
      "                                                                                                  \n",
      " block5e_bn (BatchNormalization  (None, 16, 16, 816)  3264       ['block5e_dwconv[0][0]']         \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block5e_activation (Activation  (None, 16, 16, 816)  0          ['block5e_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block5e_se_squeeze (GlobalAver  (None, 816)         0           ['block5e_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block5e_se_reshape (Reshape)   (None, 1, 1, 816)    0           ['block5e_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block5e_se_reduce (Conv2D)     (None, 1, 1, 34)     27778       ['block5e_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block5e_se_expand (Conv2D)     (None, 1, 1, 816)    28560       ['block5e_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block5e_se_excite (Multiply)   (None, 16, 16, 816)  0           ['block5e_activation[0][0]',     \n",
      "                                                                  'block5e_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block5e_project_conv (Conv2D)  (None, 16, 16, 136)  110976      ['block5e_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block5e_project_bn (BatchNorma  (None, 16, 16, 136)  544        ['block5e_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block5e_drop (Dropout)         (None, 16, 16, 136)  0           ['block5e_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block5e_add (Add)              (None, 16, 16, 136)  0           ['block5e_drop[0][0]',           \n",
      "                                                                  'block5d_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6a_expand_conv (Conv2D)   (None, 16, 16, 816)  110976      ['block5e_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6a_expand_bn (BatchNormal  (None, 16, 16, 816)  3264       ['block6a_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block6a_expand_activation (Act  (None, 16, 16, 816)  0          ['block6a_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block6a_dwconv_pad (ZeroPaddin  (None, 19, 19, 816)  0          ['block6a_expand_activation[0][0]\n",
      " g2D)                                                            ']                               \n",
      "                                                                                                  \n",
      " block6a_dwconv (DepthwiseConv2  (None, 8, 8, 816)   20400       ['block6a_dwconv_pad[0][0]']     \n",
      " D)                                                                                               \n",
      "                                                                                                  \n",
      " block6a_bn (BatchNormalization  (None, 8, 8, 816)   3264        ['block6a_dwconv[0][0]']         \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6a_activation (Activation  (None, 8, 8, 816)   0           ['block6a_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6a_se_squeeze (GlobalAver  (None, 816)         0           ['block6a_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block6a_se_reshape (Reshape)   (None, 1, 1, 816)    0           ['block6a_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block6a_se_reduce (Conv2D)     (None, 1, 1, 34)     27778       ['block6a_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block6a_se_expand (Conv2D)     (None, 1, 1, 816)    28560       ['block6a_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block6a_se_excite (Multiply)   (None, 8, 8, 816)    0           ['block6a_activation[0][0]',     \n",
      "                                                                  'block6a_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block6a_project_conv (Conv2D)  (None, 8, 8, 232)    189312      ['block6a_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block6a_project_bn (BatchNorma  (None, 8, 8, 232)   928         ['block6a_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block6b_expand_conv (Conv2D)   (None, 8, 8, 1392)   322944      ['block6a_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block6b_expand_bn (BatchNormal  (None, 8, 8, 1392)  5568        ['block6b_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block6b_expand_activation (Act  (None, 8, 8, 1392)  0           ['block6b_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block6b_dwconv (DepthwiseConv2  (None, 8, 8, 1392)  34800       ['block6b_expand_activation[0][0]\n",
      " D)                                                              ']                               \n",
      "                                                                                                  \n",
      " block6b_bn (BatchNormalization  (None, 8, 8, 1392)  5568        ['block6b_dwconv[0][0]']         \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6b_activation (Activation  (None, 8, 8, 1392)  0           ['block6b_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6b_se_squeeze (GlobalAver  (None, 1392)        0           ['block6b_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block6b_se_reshape (Reshape)   (None, 1, 1, 1392)   0           ['block6b_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block6b_se_reduce (Conv2D)     (None, 1, 1, 58)     80794       ['block6b_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block6b_se_expand (Conv2D)     (None, 1, 1, 1392)   82128       ['block6b_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block6b_se_excite (Multiply)   (None, 8, 8, 1392)   0           ['block6b_activation[0][0]',     \n",
      "                                                                  'block6b_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block6b_project_conv (Conv2D)  (None, 8, 8, 232)    322944      ['block6b_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block6b_project_bn (BatchNorma  (None, 8, 8, 232)   928         ['block6b_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block6b_drop (Dropout)         (None, 8, 8, 232)    0           ['block6b_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block6b_add (Add)              (None, 8, 8, 232)    0           ['block6b_drop[0][0]',           \n",
      "                                                                  'block6a_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block6c_expand_conv (Conv2D)   (None, 8, 8, 1392)   322944      ['block6b_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6c_expand_bn (BatchNormal  (None, 8, 8, 1392)  5568        ['block6c_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block6c_expand_activation (Act  (None, 8, 8, 1392)  0           ['block6c_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block6c_dwconv (DepthwiseConv2  (None, 8, 8, 1392)  34800       ['block6c_expand_activation[0][0]\n",
      " D)                                                              ']                               \n",
      "                                                                                                  \n",
      " block6c_bn (BatchNormalization  (None, 8, 8, 1392)  5568        ['block6c_dwconv[0][0]']         \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6c_activation (Activation  (None, 8, 8, 1392)  0           ['block6c_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6c_se_squeeze (GlobalAver  (None, 1392)        0           ['block6c_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block6c_se_reshape (Reshape)   (None, 1, 1, 1392)   0           ['block6c_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block6c_se_reduce (Conv2D)     (None, 1, 1, 58)     80794       ['block6c_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block6c_se_expand (Conv2D)     (None, 1, 1, 1392)   82128       ['block6c_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block6c_se_excite (Multiply)   (None, 8, 8, 1392)   0           ['block6c_activation[0][0]',     \n",
      "                                                                  'block6c_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block6c_project_conv (Conv2D)  (None, 8, 8, 232)    322944      ['block6c_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block6c_project_bn (BatchNorma  (None, 8, 8, 232)   928         ['block6c_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block6c_drop (Dropout)         (None, 8, 8, 232)    0           ['block6c_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block6c_add (Add)              (None, 8, 8, 232)    0           ['block6c_drop[0][0]',           \n",
      "                                                                  'block6b_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6d_expand_conv (Conv2D)   (None, 8, 8, 1392)   322944      ['block6c_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6d_expand_bn (BatchNormal  (None, 8, 8, 1392)  5568        ['block6d_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block6d_expand_activation (Act  (None, 8, 8, 1392)  0           ['block6d_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block6d_dwconv (DepthwiseConv2  (None, 8, 8, 1392)  34800       ['block6d_expand_activation[0][0]\n",
      " D)                                                              ']                               \n",
      "                                                                                                  \n",
      " block6d_bn (BatchNormalization  (None, 8, 8, 1392)  5568        ['block6d_dwconv[0][0]']         \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6d_activation (Activation  (None, 8, 8, 1392)  0           ['block6d_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6d_se_squeeze (GlobalAver  (None, 1392)        0           ['block6d_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block6d_se_reshape (Reshape)   (None, 1, 1, 1392)   0           ['block6d_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block6d_se_reduce (Conv2D)     (None, 1, 1, 58)     80794       ['block6d_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block6d_se_expand (Conv2D)     (None, 1, 1, 1392)   82128       ['block6d_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block6d_se_excite (Multiply)   (None, 8, 8, 1392)   0           ['block6d_activation[0][0]',     \n",
      "                                                                  'block6d_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block6d_project_conv (Conv2D)  (None, 8, 8, 232)    322944      ['block6d_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block6d_project_bn (BatchNorma  (None, 8, 8, 232)   928         ['block6d_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block6d_drop (Dropout)         (None, 8, 8, 232)    0           ['block6d_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block6d_add (Add)              (None, 8, 8, 232)    0           ['block6d_drop[0][0]',           \n",
      "                                                                  'block6c_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6e_expand_conv (Conv2D)   (None, 8, 8, 1392)   322944      ['block6d_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6e_expand_bn (BatchNormal  (None, 8, 8, 1392)  5568        ['block6e_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block6e_expand_activation (Act  (None, 8, 8, 1392)  0           ['block6e_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block6e_dwconv (DepthwiseConv2  (None, 8, 8, 1392)  34800       ['block6e_expand_activation[0][0]\n",
      " D)                                                              ']                               \n",
      "                                                                                                  \n",
      " block6e_bn (BatchNormalization  (None, 8, 8, 1392)  5568        ['block6e_dwconv[0][0]']         \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6e_activation (Activation  (None, 8, 8, 1392)  0           ['block6e_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6e_se_squeeze (GlobalAver  (None, 1392)        0           ['block6e_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block6e_se_reshape (Reshape)   (None, 1, 1, 1392)   0           ['block6e_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block6e_se_reduce (Conv2D)     (None, 1, 1, 58)     80794       ['block6e_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block6e_se_expand (Conv2D)     (None, 1, 1, 1392)   82128       ['block6e_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block6e_se_excite (Multiply)   (None, 8, 8, 1392)   0           ['block6e_activation[0][0]',     \n",
      "                                                                  'block6e_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block6e_project_conv (Conv2D)  (None, 8, 8, 232)    322944      ['block6e_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block6e_project_bn (BatchNorma  (None, 8, 8, 232)   928         ['block6e_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block6e_drop (Dropout)         (None, 8, 8, 232)    0           ['block6e_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block6e_add (Add)              (None, 8, 8, 232)    0           ['block6e_drop[0][0]',           \n",
      "                                                                  'block6d_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6f_expand_conv (Conv2D)   (None, 8, 8, 1392)   322944      ['block6e_add[0][0]']            \n",
      "                                                                                                  \n",
      " block6f_expand_bn (BatchNormal  (None, 8, 8, 1392)  5568        ['block6f_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block6f_expand_activation (Act  (None, 8, 8, 1392)  0           ['block6f_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block6f_dwconv (DepthwiseConv2  (None, 8, 8, 1392)  34800       ['block6f_expand_activation[0][0]\n",
      " D)                                                              ']                               \n",
      "                                                                                                  \n",
      " block6f_bn (BatchNormalization  (None, 8, 8, 1392)  5568        ['block6f_dwconv[0][0]']         \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6f_activation (Activation  (None, 8, 8, 1392)  0           ['block6f_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block6f_se_squeeze (GlobalAver  (None, 1392)        0           ['block6f_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block6f_se_reshape (Reshape)   (None, 1, 1, 1392)   0           ['block6f_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block6f_se_reduce (Conv2D)     (None, 1, 1, 58)     80794       ['block6f_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block6f_se_expand (Conv2D)     (None, 1, 1, 1392)   82128       ['block6f_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block6f_se_excite (Multiply)   (None, 8, 8, 1392)   0           ['block6f_activation[0][0]',     \n",
      "                                                                  'block6f_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block6f_project_conv (Conv2D)  (None, 8, 8, 232)    322944      ['block6f_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block6f_project_bn (BatchNorma  (None, 8, 8, 232)   928         ['block6f_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block6f_drop (Dropout)         (None, 8, 8, 232)    0           ['block6f_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block6f_add (Add)              (None, 8, 8, 232)    0           ['block6f_drop[0][0]',           \n",
      "                                                                  'block6e_add[0][0]']            \n",
      "                                                                                                  \n",
      " block7a_expand_conv (Conv2D)   (None, 8, 8, 1392)   322944      ['block6f_add[0][0]']            \n",
      "                                                                                                  \n",
      " block7a_expand_bn (BatchNormal  (None, 8, 8, 1392)  5568        ['block7a_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block7a_expand_activation (Act  (None, 8, 8, 1392)  0           ['block7a_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block7a_dwconv (DepthwiseConv2  (None, 8, 8, 1392)  12528       ['block7a_expand_activation[0][0]\n",
      " D)                                                              ']                               \n",
      "                                                                                                  \n",
      " block7a_bn (BatchNormalization  (None, 8, 8, 1392)  5568        ['block7a_dwconv[0][0]']         \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block7a_activation (Activation  (None, 8, 8, 1392)  0           ['block7a_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block7a_se_squeeze (GlobalAver  (None, 1392)        0           ['block7a_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block7a_se_reshape (Reshape)   (None, 1, 1, 1392)   0           ['block7a_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block7a_se_reduce (Conv2D)     (None, 1, 1, 58)     80794       ['block7a_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block7a_se_expand (Conv2D)     (None, 1, 1, 1392)   82128       ['block7a_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block7a_se_excite (Multiply)   (None, 8, 8, 1392)   0           ['block7a_activation[0][0]',     \n",
      "                                                                  'block7a_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block7a_project_conv (Conv2D)  (None, 8, 8, 384)    534528      ['block7a_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block7a_project_bn (BatchNorma  (None, 8, 8, 384)   1536        ['block7a_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block7b_expand_conv (Conv2D)   (None, 8, 8, 2304)   884736      ['block7a_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block7b_expand_bn (BatchNormal  (None, 8, 8, 2304)  9216        ['block7b_expand_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " block7b_expand_activation (Act  (None, 8, 8, 2304)  0           ['block7b_expand_bn[0][0]']      \n",
      " ivation)                                                                                         \n",
      "                                                                                                  \n",
      " block7b_dwconv (DepthwiseConv2  (None, 8, 8, 2304)  20736       ['block7b_expand_activation[0][0]\n",
      " D)                                                              ']                               \n",
      "                                                                                                  \n",
      " block7b_bn (BatchNormalization  (None, 8, 8, 2304)  9216        ['block7b_dwconv[0][0]']         \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block7b_activation (Activation  (None, 8, 8, 2304)  0           ['block7b_bn[0][0]']             \n",
      " )                                                                                                \n",
      "                                                                                                  \n",
      " block7b_se_squeeze (GlobalAver  (None, 2304)        0           ['block7b_activation[0][0]']     \n",
      " agePooling2D)                                                                                    \n",
      "                                                                                                  \n",
      " block7b_se_reshape (Reshape)   (None, 1, 1, 2304)   0           ['block7b_se_squeeze[0][0]']     \n",
      "                                                                                                  \n",
      " block7b_se_reduce (Conv2D)     (None, 1, 1, 96)     221280      ['block7b_se_reshape[0][0]']     \n",
      "                                                                                                  \n",
      " block7b_se_expand (Conv2D)     (None, 1, 1, 2304)   223488      ['block7b_se_reduce[0][0]']      \n",
      "                                                                                                  \n",
      " block7b_se_excite (Multiply)   (None, 8, 8, 2304)   0           ['block7b_activation[0][0]',     \n",
      "                                                                  'block7b_se_expand[0][0]']      \n",
      "                                                                                                  \n",
      " block7b_project_conv (Conv2D)  (None, 8, 8, 384)    884736      ['block7b_se_excite[0][0]']      \n",
      "                                                                                                  \n",
      " block7b_project_bn (BatchNorma  (None, 8, 8, 384)   1536        ['block7b_project_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " block7b_drop (Dropout)         (None, 8, 8, 384)    0           ['block7b_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " block7b_add (Add)              (None, 8, 8, 384)    0           ['block7b_drop[0][0]',           \n",
      "                                                                  'block7a_project_bn[0][0]']     \n",
      "                                                                                                  \n",
      " top_conv (Conv2D)              (None, 8, 8, 1536)   589824      ['block7b_add[0][0]']            \n",
      "                                                                                                  \n",
      " top_bn (BatchNormalization)    (None, 8, 8, 1536)   6144        ['top_conv[0][0]']               \n",
      "                                                                                                  \n",
      " top_activation (Activation)    (None, 8, 8, 1536)   0           ['top_bn[0][0]']                 \n",
      "                                                                                                  \n",
      " global_average_pooling2d (Glob  (None, 1536)        0           ['top_activation[0][0]']         \n",
      " alAveragePooling2D)                                                                              \n",
      "                                                                                                  \n",
      " dense (Dense)                  (None, 512)          786944      ['global_average_pooling2d[0][0]'\n",
      "                                                                 ]                                \n",
      "                                                                                                  \n",
      " dropout (Dropout)              (None, 512)          0           ['dense[0][0]']                  \n",
      "                                                                                                  \n",
      " dense_1 (Dense)                (None, 4)            2052        ['dropout[0][0]']                \n",
      "                                                                                                  \n",
      "==================================================================================================\n",
      "Total params: 11,572,531\n",
      "Trainable params: 11,485,228\n",
      "Non-trainable params: 87,303\n",
      "__________________________________________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "base_model = EfficientNetB3(weights='imagenet', include_top=False, input_shape=(image_size, image_size, 3))\n",
    "\n",
    "model1 = base_model.output\n",
    "model1 = GlobalAveragePooling2D()(model1)\n",
    "model1 = Dense(512, activation='relu')(model1)\n",
    "model1 = Dropout(0.2)(model1)\n",
    "model1 = Dense(4, activation='softmax')(model1)\n",
    "model1 = Model(inputs = base_model.input, outputs=model1)\n",
    "\n",
    "model1.compile(loss='categorical_crossentropy', optimizer='Adam', metrics=['accuracy'])\n",
    "model1.summary()\n",
    "\n",
    "reduce_lr = ReduceLROnPlateau(monitor='val_accuracy', factor=0.3, patience=2, min_denta=0.0001, mode='auto', verbose=1)\n",
    "tensorboard = TensorBoard(log_dir='logs')\n",
    "checkpoint = ModelCheckpoint(\"brain_tumor_classification.h5\", monitor='val_accuracy', save_best_only=True, mode='auto', verbose=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "id": "YAvMTh2sNyk_"
   },
   "outputs": [],
   "source": [
    "datagen = ImageDataGenerator(\n",
    "    featurewise_center=False,\n",
    "    samplewise_center=False,\n",
    "    featurewise_std_normalization=False,\n",
    "    samplewise_std_normalization=False,\n",
    "    zca_whitening=False,\n",
    "    rotation_range=10,\n",
    "    zoom_range=0.2,\n",
    "    width_shift_range=0.2,\n",
    "    horizontal_flip=False,\n",
    "    vertical_flip=False\n",
    ")\n",
    "\n",
    "datagen.fit(X_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "BXbotReBN0Gk",
    "outputId": "f5893c75-5121-45f4-9fa2-fa722e9640c1"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/dist-packages/keras/engine/functional.py:1410: CustomMaskWarning: Custom mask layers require a config and must override get_config. When loading, the custom mask layer must be passed to the custom_objects argument.\n",
      "  layer_config = serialize_layer_fn(layer)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/15\n",
      "143/143 [==============================] - ETA: 0s - loss: 0.3609 - accuracy: 0.8735\n",
      "Epoch 00001: val_accuracy improved from -inf to 0.80752, saving model to brain_tumor_classification.h5\n",
      "143/143 [==============================] - 243s 1s/step - loss: 0.3609 - accuracy: 0.8735 - val_loss: 0.8458 - val_accuracy: 0.8075 - lr: 0.0010\n",
      "Epoch 2/15\n",
      "143/143 [==============================] - ETA: 0s - loss: 0.1962 - accuracy: 0.9392\n",
      "Epoch 00002: val_accuracy improved from 0.80752 to 0.86789, saving model to brain_tumor_classification.h5\n",
      "143/143 [==============================] - 198s 1s/step - loss: 0.1962 - accuracy: 0.9392 - val_loss: 0.3669 - val_accuracy: 0.8679 - lr: 0.0010\n",
      "Epoch 3/15\n",
      "143/143 [==============================] - ETA: 0s - loss: 0.1097 - accuracy: 0.9639\n",
      "Epoch 00003: val_accuracy improved from 0.86789 to 0.94663, saving model to brain_tumor_classification.h5\n",
      "143/143 [==============================] - 198s 1s/step - loss: 0.1097 - accuracy: 0.9639 - val_loss: 0.1605 - val_accuracy: 0.9466 - lr: 0.0010\n",
      "Epoch 4/15\n",
      "143/143 [==============================] - ETA: 0s - loss: 0.1107 - accuracy: 0.9645\n",
      "Epoch 00004: val_accuracy did not improve from 0.94663\n",
      "143/143 [==============================] - 197s 1s/step - loss: 0.1107 - accuracy: 0.9645 - val_loss: 0.1611 - val_accuracy: 0.9414 - lr: 0.0010\n",
      "Epoch 5/15\n",
      "143/143 [==============================] - ETA: 0s - loss: 0.0813 - accuracy: 0.9729\n",
      "Epoch 00005: val_accuracy did not improve from 0.94663\n",
      "\n",
      "Epoch 00005: ReduceLROnPlateau reducing learning rate to 0.0003000000142492354.\n",
      "143/143 [==============================] - 196s 1s/step - loss: 0.0813 - accuracy: 0.9729 - val_loss: 0.2035 - val_accuracy: 0.9379 - lr: 0.0010\n",
      "Epoch 6/15\n",
      "143/143 [==============================] - ETA: 0s - loss: 0.0261 - accuracy: 0.9923\n",
      "Epoch 00006: val_accuracy improved from 0.94663 to 0.97988, saving model to brain_tumor_classification.h5\n",
      "143/143 [==============================] - 198s 1s/step - loss: 0.0261 - accuracy: 0.9923 - val_loss: 0.0627 - val_accuracy: 0.9799 - lr: 3.0000e-04\n",
      "Epoch 7/15\n",
      "143/143 [==============================] - ETA: 0s - loss: 0.0108 - accuracy: 0.9969\n",
      "Epoch 00007: val_accuracy improved from 0.97988 to 0.98513, saving model to brain_tumor_classification.h5\n",
      "143/143 [==============================] - 198s 1s/step - loss: 0.0108 - accuracy: 0.9969 - val_loss: 0.0586 - val_accuracy: 0.9851 - lr: 3.0000e-04\n",
      "Epoch 8/15\n",
      "143/143 [==============================] - ETA: 0s - loss: 0.0158 - accuracy: 0.9954\n",
      "Epoch 00008: val_accuracy did not improve from 0.98513\n",
      "143/143 [==============================] - 196s 1s/step - loss: 0.0158 - accuracy: 0.9954 - val_loss: 0.0569 - val_accuracy: 0.9851 - lr: 3.0000e-04\n",
      "Epoch 9/15\n",
      "143/143 [==============================] - ETA: 0s - loss: 0.0080 - accuracy: 0.9972\n",
      "Epoch 00009: val_accuracy improved from 0.98513 to 0.99388, saving model to brain_tumor_classification.h5\n",
      "143/143 [==============================] - 198s 1s/step - loss: 0.0080 - accuracy: 0.9972 - val_loss: 0.0377 - val_accuracy: 0.9939 - lr: 3.0000e-04\n",
      "Epoch 10/15\n",
      "143/143 [==============================] - ETA: 0s - loss: 0.0163 - accuracy: 0.9943\n",
      "Epoch 00010: val_accuracy did not improve from 0.99388\n",
      "143/143 [==============================] - 196s 1s/step - loss: 0.0163 - accuracy: 0.9943 - val_loss: 0.0502 - val_accuracy: 0.9913 - lr: 3.0000e-04\n",
      "Epoch 11/15\n",
      "143/143 [==============================] - ETA: 0s - loss: 0.0138 - accuracy: 0.9954\n",
      "Epoch 00011: val_accuracy did not improve from 0.99388\n",
      "\n",
      "Epoch 00011: ReduceLROnPlateau reducing learning rate to 9.000000427477062e-05.\n",
      "143/143 [==============================] - 198s 1s/step - loss: 0.0138 - accuracy: 0.9954 - val_loss: 0.0467 - val_accuracy: 0.9913 - lr: 3.0000e-04\n",
      "Epoch 12/15\n",
      "143/143 [==============================] - ETA: 0s - loss: 0.0087 - accuracy: 0.9976\n",
      "Epoch 00012: val_accuracy did not improve from 0.99388\n",
      "143/143 [==============================] - 197s 1s/step - loss: 0.0087 - accuracy: 0.9976 - val_loss: 0.0506 - val_accuracy: 0.9921 - lr: 9.0000e-05\n",
      "Epoch 13/15\n",
      "143/143 [==============================] - ETA: 0s - loss: 0.0054 - accuracy: 0.9982\n",
      "Epoch 00013: val_accuracy did not improve from 0.99388\n",
      "\n",
      "Epoch 00013: ReduceLROnPlateau reducing learning rate to 2.700000040931627e-05.\n",
      "143/143 [==============================] - 197s 1s/step - loss: 0.0054 - accuracy: 0.9982 - val_loss: 0.0558 - val_accuracy: 0.9886 - lr: 9.0000e-05\n",
      "Epoch 14/15\n",
      "143/143 [==============================] - ETA: 0s - loss: 0.0064 - accuracy: 0.9985\n",
      "Epoch 00014: val_accuracy did not improve from 0.99388\n",
      "143/143 [==============================] - 197s 1s/step - loss: 0.0064 - accuracy: 0.9985 - val_loss: 0.0541 - val_accuracy: 0.9886 - lr: 2.7000e-05\n",
      "Epoch 15/15\n",
      "143/143 [==============================] - ETA: 0s - loss: 0.0023 - accuracy: 0.9991\n",
      "Epoch 00015: val_accuracy did not improve from 0.99388\n",
      "\n",
      "Epoch 00015: ReduceLROnPlateau reducing learning rate to 8.100000013655517e-06.\n",
      "143/143 [==============================] - 197s 1s/step - loss: 0.0023 - accuracy: 0.9991 - val_loss: 0.0564 - val_accuracy: 0.9886 - lr: 2.7000e-05\n"
     ]
    }
   ],
   "source": [
    "history1 = model1.fit(datagen.flow(X_train, Y_train, batch_size=32),\n",
    "                              validation_data=(X_val, Y_val), \n",
    "                              epochs=15, \n",
    "                              verbose=1,\n",
    "                            callbacks=[tensorboard,checkpoint, reduce_lr])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "Qd-t4QV-N2uB",
    "outputId": "3402d087-0d8a-4bc1-c896-30c7b79192a5"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy on testing set: 99.16%\n"
     ]
    }
   ],
   "source": [
    "test_pred = model1.predict(X_test)\n",
    "test_pred = np.argmax(test_pred, axis=1)\n",
    "Y_test_ = np.argmax(Y_test, axis=1)\n",
    "print(\"Accuracy on testing set: {:.2f}%\".format(np.sum(test_pred==Y_test_)/len(Y_test_)*100))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "LjrBcfHRh8jn",
    "outputId": "fabaf9e8-f3ad-40f5-9ac8-75fe5b8ff499"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training Accuracy: 100.00%\n",
      "\n",
      "Testing Accuracy: 99.16%\n",
      "\n"
     ]
    }
   ],
   "source": [
    "scores = model1.evaluate(X_train, Y_train, verbose=False)\n",
    "print(\"Training Accuracy: %.2f%%\\n\" % (scores[1]*100))\n",
    "scores = model1.evaluate(X_test, Y_test, verbose=False)\n",
    "print(\"Testing Accuracy: %.2f%%\\n\" % (scores[1]*100))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "5ra8P4FlsdV9",
    "outputId": "12019125-eb5c-4b34-fe61-f08ed673b75c"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/dist-packages/keras/engine/functional.py:1410: CustomMaskWarning: Custom mask layers require a config and must override get_config. When loading, the custom mask layer must be passed to the custom_objects argument.\n",
      "  layer_config = serialize_layer_fn(layer)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved model to disk\n"
     ]
    }
   ],
   "source": [
    "model1.save(\"model_classification.h5\")\n",
    "print(\"Saved model to disk\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "N0-M3h_p-1bM"
   },
   "outputs": [],
   "source": [
    "from google.colab import files\n",
    "files.download(\"model_classification.h5\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Rqhc-vptI3vG"
   },
   "source": [
    "# Micro Average ROC AUC Calculation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "id": "K8kEbhwLJR0I"
   },
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import LabelBinarizer\n",
    "from sklearn.metrics import roc_curve, auc, roc_auc_score\n",
    "from cycler import cycler\n",
    "\n",
    "n_classes = {'glioma': 0, 'meningioma': 1, 'notumor': 2, 'pituitary': 3}\n",
    "def multiclass_roc_auc_score(y_test, y_pred, average = \"micro\"):\n",
    "    lb = LabelBinarizer()\n",
    "    lb.fit(y_pred)\n",
    "    y_test = lb.transform(y_test)\n",
    "    y_pred = lb.transform(y_pred)\n",
    "    \n",
    "    for (i, c_label) in enumerate(n_classes):\n",
    "        fpr, tpr, threshold = roc_curve(y_test[:, i], y_pred[:, i])\n",
    "        c_ax.plot(fpr, tpr, label = '%s (AUC: %0.2f)' % (c_label, auc(fpr, tpr)))\n",
    "    return roc_auc_score(y_test, y_pred, average = average)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 623
    },
    "id": "Wlf_jMhiJSuf",
    "outputId": "32698881-17f4-4315-e454-309864b168a0"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ROC AUC Score:  0.9944063056191202\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, c_ax = plt.subplots(1, 1, figsize = (16,10))\n",
    "color_cycler = cycler(color=['r','g','b','y','m','k','c','#FFA500'])\n",
    "c_ax.set_prop_cycle(color_cycler)\n",
    "\n",
    "y_pred = model1.predict(X_test)\n",
    "y_pred2 = y_pred.argmax(axis=-1)\n",
    "Y_test2 = Y_test.argmax(axis=-1)\n",
    "\n",
    "print('ROC AUC Score: ', multiclass_roc_auc_score(Y_test2, y_pred2))\n",
    "\n",
    "c_ax.legend()\n",
    "c_ax.set_xlabel('False Positive Rate')\n",
    "c_ax.set_ylabel('True Positive Rate')\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "accelerator": "GPU",
  "colab": {
   "name": "Brain Tumor Classification.ipynb",
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}