Training using transfer learning.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import os\n",
    "from keras.applications.resnet50 import ResNet50\n",
    "from keras.preprocessing import image\n",
    "from keras.optimizers import Adam\n",
    "from keras.layers import Dense,Activation,Flatten,Input,Dropout,GlobalAveragePooling2D\n",
    "from keras.models import Model\n",
    "from keras.utils import np_utils\n",
    "import random\n",
    "\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "data=np.load('data.npy')\n",
    "target=np.load('target.npy')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x184662d7748>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplot(121)\n",
    "plt.axis(\"off\")\n",
    "plt.imshow(data[0])\n",
    "plt.subplot(122)\n",
    "plt.axis(\"off\")\n",
    "plt.imshow(data[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(392, 224, 224, 3)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(392,)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "target.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\LENOVO\\anaconda3\\envs\\tensorflow_env\\lib\\site-packages\\keras_applications\\resnet50.py:265: UserWarning: The output shape of `ResNet50(include_top=False)` has been changed since Keras 2.2.0.\n",
      "  warnings.warn('The output shape of `ResNet50(include_top=False)` '\n"
     ]
    }
   ],
   "source": [
    "model = ResNet50(include_top=False,weights='imagenet',input_shape=(224,224,3))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"resnet50\"\n",
      "__________________________________________________________________________________________________\n",
      "Layer (type)                    Output Shape         Param #     Connected to                     \n",
      "==================================================================================================\n",
      "input_1 (InputLayer)            (None, 224, 224, 3)  0                                            \n",
      "__________________________________________________________________________________________________\n",
      "conv1_pad (ZeroPadding2D)       (None, 230, 230, 3)  0           input_1[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "conv1 (Conv2D)                  (None, 112, 112, 64) 9472        conv1_pad[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "bn_conv1 (BatchNormalization)   (None, 112, 112, 64) 256         conv1[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "activation_1 (Activation)       (None, 112, 112, 64) 0           bn_conv1[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "pool1_pad (ZeroPadding2D)       (None, 114, 114, 64) 0           activation_1[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "max_pooling2d_1 (MaxPooling2D)  (None, 56, 56, 64)   0           pool1_pad[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "res2a_branch2a (Conv2D)         (None, 56, 56, 64)   4160        max_pooling2d_1[0][0]            \n",
      "__________________________________________________________________________________________________\n",
      "bn2a_branch2a (BatchNormalizati (None, 56, 56, 64)   256         res2a_branch2a[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_2 (Activation)       (None, 56, 56, 64)   0           bn2a_branch2a[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res2a_branch2b (Conv2D)         (None, 56, 56, 64)   36928       activation_2[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "bn2a_branch2b (BatchNormalizati (None, 56, 56, 64)   256         res2a_branch2b[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_3 (Activation)       (None, 56, 56, 64)   0           bn2a_branch2b[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res2a_branch2c (Conv2D)         (None, 56, 56, 256)  16640       activation_3[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "res2a_branch1 (Conv2D)          (None, 56, 56, 256)  16640       max_pooling2d_1[0][0]            \n",
      "__________________________________________________________________________________________________\n",
      "bn2a_branch2c (BatchNormalizati (None, 56, 56, 256)  1024        res2a_branch2c[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "bn2a_branch1 (BatchNormalizatio (None, 56, 56, 256)  1024        res2a_branch1[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "add_1 (Add)                     (None, 56, 56, 256)  0           bn2a_branch2c[0][0]              \n",
      "                                                                 bn2a_branch1[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "activation_4 (Activation)       (None, 56, 56, 256)  0           add_1[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "res2b_branch2a (Conv2D)         (None, 56, 56, 64)   16448       activation_4[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "bn2b_branch2a (BatchNormalizati (None, 56, 56, 64)   256         res2b_branch2a[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_5 (Activation)       (None, 56, 56, 64)   0           bn2b_branch2a[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res2b_branch2b (Conv2D)         (None, 56, 56, 64)   36928       activation_5[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "bn2b_branch2b (BatchNormalizati (None, 56, 56, 64)   256         res2b_branch2b[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_6 (Activation)       (None, 56, 56, 64)   0           bn2b_branch2b[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res2b_branch2c (Conv2D)         (None, 56, 56, 256)  16640       activation_6[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "bn2b_branch2c (BatchNormalizati (None, 56, 56, 256)  1024        res2b_branch2c[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "add_2 (Add)                     (None, 56, 56, 256)  0           bn2b_branch2c[0][0]              \n",
      "                                                                 activation_4[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "activation_7 (Activation)       (None, 56, 56, 256)  0           add_2[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "res2c_branch2a (Conv2D)         (None, 56, 56, 64)   16448       activation_7[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "bn2c_branch2a (BatchNormalizati (None, 56, 56, 64)   256         res2c_branch2a[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_8 (Activation)       (None, 56, 56, 64)   0           bn2c_branch2a[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res2c_branch2b (Conv2D)         (None, 56, 56, 64)   36928       activation_8[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "bn2c_branch2b (BatchNormalizati (None, 56, 56, 64)   256         res2c_branch2b[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_9 (Activation)       (None, 56, 56, 64)   0           bn2c_branch2b[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res2c_branch2c (Conv2D)         (None, 56, 56, 256)  16640       activation_9[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "bn2c_branch2c (BatchNormalizati (None, 56, 56, 256)  1024        res2c_branch2c[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "add_3 (Add)                     (None, 56, 56, 256)  0           bn2c_branch2c[0][0]              \n",
      "                                                                 activation_7[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "activation_10 (Activation)      (None, 56, 56, 256)  0           add_3[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "res3a_branch2a (Conv2D)         (None, 28, 28, 128)  32896       activation_10[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn3a_branch2a (BatchNormalizati (None, 28, 28, 128)  512         res3a_branch2a[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_11 (Activation)      (None, 28, 28, 128)  0           bn3a_branch2a[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res3a_branch2b (Conv2D)         (None, 28, 28, 128)  147584      activation_11[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn3a_branch2b (BatchNormalizati (None, 28, 28, 128)  512         res3a_branch2b[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_12 (Activation)      (None, 28, 28, 128)  0           bn3a_branch2b[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res3a_branch2c (Conv2D)         (None, 28, 28, 512)  66048       activation_12[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res3a_branch1 (Conv2D)          (None, 28, 28, 512)  131584      activation_10[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn3a_branch2c (BatchNormalizati (None, 28, 28, 512)  2048        res3a_branch2c[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "bn3a_branch1 (BatchNormalizatio (None, 28, 28, 512)  2048        res3a_branch1[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "add_4 (Add)                     (None, 28, 28, 512)  0           bn3a_branch2c[0][0]              \n",
      "                                                                 bn3a_branch1[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "activation_13 (Activation)      (None, 28, 28, 512)  0           add_4[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "res3b_branch2a (Conv2D)         (None, 28, 28, 128)  65664       activation_13[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn3b_branch2a (BatchNormalizati (None, 28, 28, 128)  512         res3b_branch2a[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_14 (Activation)      (None, 28, 28, 128)  0           bn3b_branch2a[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res3b_branch2b (Conv2D)         (None, 28, 28, 128)  147584      activation_14[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn3b_branch2b (BatchNormalizati (None, 28, 28, 128)  512         res3b_branch2b[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_15 (Activation)      (None, 28, 28, 128)  0           bn3b_branch2b[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res3b_branch2c (Conv2D)         (None, 28, 28, 512)  66048       activation_15[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn3b_branch2c (BatchNormalizati (None, 28, 28, 512)  2048        res3b_branch2c[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "add_5 (Add)                     (None, 28, 28, 512)  0           bn3b_branch2c[0][0]              \n",
      "                                                                 activation_13[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_16 (Activation)      (None, 28, 28, 512)  0           add_5[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "res3c_branch2a (Conv2D)         (None, 28, 28, 128)  65664       activation_16[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn3c_branch2a (BatchNormalizati (None, 28, 28, 128)  512         res3c_branch2a[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_17 (Activation)      (None, 28, 28, 128)  0           bn3c_branch2a[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res3c_branch2b (Conv2D)         (None, 28, 28, 128)  147584      activation_17[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn3c_branch2b (BatchNormalizati (None, 28, 28, 128)  512         res3c_branch2b[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_18 (Activation)      (None, 28, 28, 128)  0           bn3c_branch2b[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res3c_branch2c (Conv2D)         (None, 28, 28, 512)  66048       activation_18[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn3c_branch2c (BatchNormalizati (None, 28, 28, 512)  2048        res3c_branch2c[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "add_6 (Add)                     (None, 28, 28, 512)  0           bn3c_branch2c[0][0]              \n",
      "                                                                 activation_16[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_19 (Activation)      (None, 28, 28, 512)  0           add_6[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "res3d_branch2a (Conv2D)         (None, 28, 28, 128)  65664       activation_19[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn3d_branch2a (BatchNormalizati (None, 28, 28, 128)  512         res3d_branch2a[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_20 (Activation)      (None, 28, 28, 128)  0           bn3d_branch2a[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res3d_branch2b (Conv2D)         (None, 28, 28, 128)  147584      activation_20[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn3d_branch2b (BatchNormalizati (None, 28, 28, 128)  512         res3d_branch2b[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_21 (Activation)      (None, 28, 28, 128)  0           bn3d_branch2b[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res3d_branch2c (Conv2D)         (None, 28, 28, 512)  66048       activation_21[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn3d_branch2c (BatchNormalizati (None, 28, 28, 512)  2048        res3d_branch2c[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "add_7 (Add)                     (None, 28, 28, 512)  0           bn3d_branch2c[0][0]              \n",
      "                                                                 activation_19[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_22 (Activation)      (None, 28, 28, 512)  0           add_7[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "res4a_branch2a (Conv2D)         (None, 14, 14, 256)  131328      activation_22[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4a_branch2a (BatchNormalizati (None, 14, 14, 256)  1024        res4a_branch2a[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_23 (Activation)      (None, 14, 14, 256)  0           bn4a_branch2a[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res4a_branch2b (Conv2D)         (None, 14, 14, 256)  590080      activation_23[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4a_branch2b (BatchNormalizati (None, 14, 14, 256)  1024        res4a_branch2b[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_24 (Activation)      (None, 14, 14, 256)  0           bn4a_branch2b[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res4a_branch2c (Conv2D)         (None, 14, 14, 1024) 263168      activation_24[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res4a_branch1 (Conv2D)          (None, 14, 14, 1024) 525312      activation_22[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4a_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096        res4a_branch2c[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "bn4a_branch1 (BatchNormalizatio (None, 14, 14, 1024) 4096        res4a_branch1[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "add_8 (Add)                     (None, 14, 14, 1024) 0           bn4a_branch2c[0][0]              \n",
      "                                                                 bn4a_branch1[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "activation_25 (Activation)      (None, 14, 14, 1024) 0           add_8[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "res4b_branch2a (Conv2D)         (None, 14, 14, 256)  262400      activation_25[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4b_branch2a (BatchNormalizati (None, 14, 14, 256)  1024        res4b_branch2a[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_26 (Activation)      (None, 14, 14, 256)  0           bn4b_branch2a[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res4b_branch2b (Conv2D)         (None, 14, 14, 256)  590080      activation_26[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4b_branch2b (BatchNormalizati (None, 14, 14, 256)  1024        res4b_branch2b[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_27 (Activation)      (None, 14, 14, 256)  0           bn4b_branch2b[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res4b_branch2c (Conv2D)         (None, 14, 14, 1024) 263168      activation_27[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4b_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096        res4b_branch2c[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "add_9 (Add)                     (None, 14, 14, 1024) 0           bn4b_branch2c[0][0]              \n",
      "                                                                 activation_25[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_28 (Activation)      (None, 14, 14, 1024) 0           add_9[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "res4c_branch2a (Conv2D)         (None, 14, 14, 256)  262400      activation_28[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4c_branch2a (BatchNormalizati (None, 14, 14, 256)  1024        res4c_branch2a[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_29 (Activation)      (None, 14, 14, 256)  0           bn4c_branch2a[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res4c_branch2b (Conv2D)         (None, 14, 14, 256)  590080      activation_29[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4c_branch2b (BatchNormalizati (None, 14, 14, 256)  1024        res4c_branch2b[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_30 (Activation)      (None, 14, 14, 256)  0           bn4c_branch2b[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res4c_branch2c (Conv2D)         (None, 14, 14, 1024) 263168      activation_30[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4c_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096        res4c_branch2c[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "add_10 (Add)                    (None, 14, 14, 1024) 0           bn4c_branch2c[0][0]              \n",
      "                                                                 activation_28[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_31 (Activation)      (None, 14, 14, 1024) 0           add_10[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "res4d_branch2a (Conv2D)         (None, 14, 14, 256)  262400      activation_31[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4d_branch2a (BatchNormalizati (None, 14, 14, 256)  1024        res4d_branch2a[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_32 (Activation)      (None, 14, 14, 256)  0           bn4d_branch2a[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res4d_branch2b (Conv2D)         (None, 14, 14, 256)  590080      activation_32[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4d_branch2b (BatchNormalizati (None, 14, 14, 256)  1024        res4d_branch2b[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_33 (Activation)      (None, 14, 14, 256)  0           bn4d_branch2b[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res4d_branch2c (Conv2D)         (None, 14, 14, 1024) 263168      activation_33[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4d_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096        res4d_branch2c[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "add_11 (Add)                    (None, 14, 14, 1024) 0           bn4d_branch2c[0][0]              \n",
      "                                                                 activation_31[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_34 (Activation)      (None, 14, 14, 1024) 0           add_11[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "res4e_branch2a (Conv2D)         (None, 14, 14, 256)  262400      activation_34[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4e_branch2a (BatchNormalizati (None, 14, 14, 256)  1024        res4e_branch2a[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_35 (Activation)      (None, 14, 14, 256)  0           bn4e_branch2a[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res4e_branch2b (Conv2D)         (None, 14, 14, 256)  590080      activation_35[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4e_branch2b (BatchNormalizati (None, 14, 14, 256)  1024        res4e_branch2b[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_36 (Activation)      (None, 14, 14, 256)  0           bn4e_branch2b[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res4e_branch2c (Conv2D)         (None, 14, 14, 1024) 263168      activation_36[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4e_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096        res4e_branch2c[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "add_12 (Add)                    (None, 14, 14, 1024) 0           bn4e_branch2c[0][0]              \n",
      "                                                                 activation_34[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_37 (Activation)      (None, 14, 14, 1024) 0           add_12[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "res4f_branch2a (Conv2D)         (None, 14, 14, 256)  262400      activation_37[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4f_branch2a (BatchNormalizati (None, 14, 14, 256)  1024        res4f_branch2a[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_38 (Activation)      (None, 14, 14, 256)  0           bn4f_branch2a[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res4f_branch2b (Conv2D)         (None, 14, 14, 256)  590080      activation_38[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4f_branch2b (BatchNormalizati (None, 14, 14, 256)  1024        res4f_branch2b[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_39 (Activation)      (None, 14, 14, 256)  0           bn4f_branch2b[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res4f_branch2c (Conv2D)         (None, 14, 14, 1024) 263168      activation_39[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4f_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096        res4f_branch2c[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "add_13 (Add)                    (None, 14, 14, 1024) 0           bn4f_branch2c[0][0]              \n",
      "                                                                 activation_37[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_40 (Activation)      (None, 14, 14, 1024) 0           add_13[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "res5a_branch2a (Conv2D)         (None, 7, 7, 512)    524800      activation_40[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn5a_branch2a (BatchNormalizati (None, 7, 7, 512)    2048        res5a_branch2a[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_41 (Activation)      (None, 7, 7, 512)    0           bn5a_branch2a[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res5a_branch2b (Conv2D)         (None, 7, 7, 512)    2359808     activation_41[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn5a_branch2b (BatchNormalizati (None, 7, 7, 512)    2048        res5a_branch2b[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_42 (Activation)      (None, 7, 7, 512)    0           bn5a_branch2b[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res5a_branch2c (Conv2D)         (None, 7, 7, 2048)   1050624     activation_42[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res5a_branch1 (Conv2D)          (None, 7, 7, 2048)   2099200     activation_40[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn5a_branch2c (BatchNormalizati (None, 7, 7, 2048)   8192        res5a_branch2c[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "bn5a_branch1 (BatchNormalizatio (None, 7, 7, 2048)   8192        res5a_branch1[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "add_14 (Add)                    (None, 7, 7, 2048)   0           bn5a_branch2c[0][0]              \n",
      "                                                                 bn5a_branch1[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "activation_43 (Activation)      (None, 7, 7, 2048)   0           add_14[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "res5b_branch2a (Conv2D)         (None, 7, 7, 512)    1049088     activation_43[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn5b_branch2a (BatchNormalizati (None, 7, 7, 512)    2048        res5b_branch2a[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_44 (Activation)      (None, 7, 7, 512)    0           bn5b_branch2a[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res5b_branch2b (Conv2D)         (None, 7, 7, 512)    2359808     activation_44[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn5b_branch2b (BatchNormalizati (None, 7, 7, 512)    2048        res5b_branch2b[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_45 (Activation)      (None, 7, 7, 512)    0           bn5b_branch2b[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res5b_branch2c (Conv2D)         (None, 7, 7, 2048)   1050624     activation_45[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn5b_branch2c (BatchNormalizati (None, 7, 7, 2048)   8192        res5b_branch2c[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "add_15 (Add)                    (None, 7, 7, 2048)   0           bn5b_branch2c[0][0]              \n",
      "                                                                 activation_43[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_46 (Activation)      (None, 7, 7, 2048)   0           add_15[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "res5c_branch2a (Conv2D)         (None, 7, 7, 512)    1049088     activation_46[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn5c_branch2a (BatchNormalizati (None, 7, 7, 512)    2048        res5c_branch2a[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_47 (Activation)      (None, 7, 7, 512)    0           bn5c_branch2a[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res5c_branch2b (Conv2D)         (None, 7, 7, 512)    2359808     activation_47[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn5c_branch2b (BatchNormalizati (None, 7, 7, 512)    2048        res5c_branch2b[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_48 (Activation)      (None, 7, 7, 512)    0           bn5c_branch2b[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res5c_branch2c (Conv2D)         (None, 7, 7, 2048)   1050624     activation_48[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn5c_branch2c (BatchNormalizati (None, 7, 7, 2048)   8192        res5c_branch2c[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "add_16 (Add)                    (None, 7, 7, 2048)   0           bn5c_branch2c[0][0]              \n",
      "                                                                 activation_46[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_49 (Activation)      (None, 7, 7, 2048)   0           add_16[0][0]                     \n",
      "==================================================================================================\n",
      "Total params: 23,587,712\n",
      "Trainable params: 23,534,592\n",
      "Non-trainable params: 53,120\n",
      "__________________________________________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"model_1\"\n",
      "__________________________________________________________________________________________________\n",
      "Layer (type)                    Output Shape         Param #     Connected to                     \n",
      "==================================================================================================\n",
      "input_1 (InputLayer)            (None, 224, 224, 3)  0                                            \n",
      "__________________________________________________________________________________________________\n",
      "conv1_pad (ZeroPadding2D)       (None, 230, 230, 3)  0           input_1[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "conv1 (Conv2D)                  (None, 112, 112, 64) 9472        conv1_pad[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "bn_conv1 (BatchNormalization)   (None, 112, 112, 64) 256         conv1[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "activation_1 (Activation)       (None, 112, 112, 64) 0           bn_conv1[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "pool1_pad (ZeroPadding2D)       (None, 114, 114, 64) 0           activation_1[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "max_pooling2d_1 (MaxPooling2D)  (None, 56, 56, 64)   0           pool1_pad[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "res2a_branch2a (Conv2D)         (None, 56, 56, 64)   4160        max_pooling2d_1[0][0]            \n",
      "__________________________________________________________________________________________________\n",
      "bn2a_branch2a (BatchNormalizati (None, 56, 56, 64)   256         res2a_branch2a[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_2 (Activation)       (None, 56, 56, 64)   0           bn2a_branch2a[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res2a_branch2b (Conv2D)         (None, 56, 56, 64)   36928       activation_2[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "bn2a_branch2b (BatchNormalizati (None, 56, 56, 64)   256         res2a_branch2b[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_3 (Activation)       (None, 56, 56, 64)   0           bn2a_branch2b[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res2a_branch2c (Conv2D)         (None, 56, 56, 256)  16640       activation_3[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "res2a_branch1 (Conv2D)          (None, 56, 56, 256)  16640       max_pooling2d_1[0][0]            \n",
      "__________________________________________________________________________________________________\n",
      "bn2a_branch2c (BatchNormalizati (None, 56, 56, 256)  1024        res2a_branch2c[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "bn2a_branch1 (BatchNormalizatio (None, 56, 56, 256)  1024        res2a_branch1[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "add_1 (Add)                     (None, 56, 56, 256)  0           bn2a_branch2c[0][0]              \n",
      "                                                                 bn2a_branch1[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "activation_4 (Activation)       (None, 56, 56, 256)  0           add_1[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "res2b_branch2a (Conv2D)         (None, 56, 56, 64)   16448       activation_4[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "bn2b_branch2a (BatchNormalizati (None, 56, 56, 64)   256         res2b_branch2a[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_5 (Activation)       (None, 56, 56, 64)   0           bn2b_branch2a[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res2b_branch2b (Conv2D)         (None, 56, 56, 64)   36928       activation_5[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "bn2b_branch2b (BatchNormalizati (None, 56, 56, 64)   256         res2b_branch2b[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_6 (Activation)       (None, 56, 56, 64)   0           bn2b_branch2b[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res2b_branch2c (Conv2D)         (None, 56, 56, 256)  16640       activation_6[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "bn2b_branch2c (BatchNormalizati (None, 56, 56, 256)  1024        res2b_branch2c[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "add_2 (Add)                     (None, 56, 56, 256)  0           bn2b_branch2c[0][0]              \n",
      "                                                                 activation_4[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "activation_7 (Activation)       (None, 56, 56, 256)  0           add_2[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "res2c_branch2a (Conv2D)         (None, 56, 56, 64)   16448       activation_7[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "bn2c_branch2a (BatchNormalizati (None, 56, 56, 64)   256         res2c_branch2a[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_8 (Activation)       (None, 56, 56, 64)   0           bn2c_branch2a[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res2c_branch2b (Conv2D)         (None, 56, 56, 64)   36928       activation_8[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "bn2c_branch2b (BatchNormalizati (None, 56, 56, 64)   256         res2c_branch2b[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_9 (Activation)       (None, 56, 56, 64)   0           bn2c_branch2b[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res2c_branch2c (Conv2D)         (None, 56, 56, 256)  16640       activation_9[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "bn2c_branch2c (BatchNormalizati (None, 56, 56, 256)  1024        res2c_branch2c[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "add_3 (Add)                     (None, 56, 56, 256)  0           bn2c_branch2c[0][0]              \n",
      "                                                                 activation_7[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "activation_10 (Activation)      (None, 56, 56, 256)  0           add_3[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "res3a_branch2a (Conv2D)         (None, 28, 28, 128)  32896       activation_10[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn3a_branch2a (BatchNormalizati (None, 28, 28, 128)  512         res3a_branch2a[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_11 (Activation)      (None, 28, 28, 128)  0           bn3a_branch2a[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res3a_branch2b (Conv2D)         (None, 28, 28, 128)  147584      activation_11[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn3a_branch2b (BatchNormalizati (None, 28, 28, 128)  512         res3a_branch2b[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_12 (Activation)      (None, 28, 28, 128)  0           bn3a_branch2b[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res3a_branch2c (Conv2D)         (None, 28, 28, 512)  66048       activation_12[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res3a_branch1 (Conv2D)          (None, 28, 28, 512)  131584      activation_10[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn3a_branch2c (BatchNormalizati (None, 28, 28, 512)  2048        res3a_branch2c[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "bn3a_branch1 (BatchNormalizatio (None, 28, 28, 512)  2048        res3a_branch1[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "add_4 (Add)                     (None, 28, 28, 512)  0           bn3a_branch2c[0][0]              \n",
      "                                                                 bn3a_branch1[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "activation_13 (Activation)      (None, 28, 28, 512)  0           add_4[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "res3b_branch2a (Conv2D)         (None, 28, 28, 128)  65664       activation_13[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn3b_branch2a (BatchNormalizati (None, 28, 28, 128)  512         res3b_branch2a[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_14 (Activation)      (None, 28, 28, 128)  0           bn3b_branch2a[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res3b_branch2b (Conv2D)         (None, 28, 28, 128)  147584      activation_14[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn3b_branch2b (BatchNormalizati (None, 28, 28, 128)  512         res3b_branch2b[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_15 (Activation)      (None, 28, 28, 128)  0           bn3b_branch2b[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res3b_branch2c (Conv2D)         (None, 28, 28, 512)  66048       activation_15[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn3b_branch2c (BatchNormalizati (None, 28, 28, 512)  2048        res3b_branch2c[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "add_5 (Add)                     (None, 28, 28, 512)  0           bn3b_branch2c[0][0]              \n",
      "                                                                 activation_13[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_16 (Activation)      (None, 28, 28, 512)  0           add_5[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "res3c_branch2a (Conv2D)         (None, 28, 28, 128)  65664       activation_16[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn3c_branch2a (BatchNormalizati (None, 28, 28, 128)  512         res3c_branch2a[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_17 (Activation)      (None, 28, 28, 128)  0           bn3c_branch2a[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res3c_branch2b (Conv2D)         (None, 28, 28, 128)  147584      activation_17[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn3c_branch2b (BatchNormalizati (None, 28, 28, 128)  512         res3c_branch2b[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_18 (Activation)      (None, 28, 28, 128)  0           bn3c_branch2b[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res3c_branch2c (Conv2D)         (None, 28, 28, 512)  66048       activation_18[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn3c_branch2c (BatchNormalizati (None, 28, 28, 512)  2048        res3c_branch2c[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "add_6 (Add)                     (None, 28, 28, 512)  0           bn3c_branch2c[0][0]              \n",
      "                                                                 activation_16[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_19 (Activation)      (None, 28, 28, 512)  0           add_6[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "res3d_branch2a (Conv2D)         (None, 28, 28, 128)  65664       activation_19[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn3d_branch2a (BatchNormalizati (None, 28, 28, 128)  512         res3d_branch2a[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_20 (Activation)      (None, 28, 28, 128)  0           bn3d_branch2a[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res3d_branch2b (Conv2D)         (None, 28, 28, 128)  147584      activation_20[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn3d_branch2b (BatchNormalizati (None, 28, 28, 128)  512         res3d_branch2b[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_21 (Activation)      (None, 28, 28, 128)  0           bn3d_branch2b[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res3d_branch2c (Conv2D)         (None, 28, 28, 512)  66048       activation_21[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn3d_branch2c (BatchNormalizati (None, 28, 28, 512)  2048        res3d_branch2c[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "add_7 (Add)                     (None, 28, 28, 512)  0           bn3d_branch2c[0][0]              \n",
      "                                                                 activation_19[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_22 (Activation)      (None, 28, 28, 512)  0           add_7[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "res4a_branch2a (Conv2D)         (None, 14, 14, 256)  131328      activation_22[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4a_branch2a (BatchNormalizati (None, 14, 14, 256)  1024        res4a_branch2a[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_23 (Activation)      (None, 14, 14, 256)  0           bn4a_branch2a[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res4a_branch2b (Conv2D)         (None, 14, 14, 256)  590080      activation_23[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4a_branch2b (BatchNormalizati (None, 14, 14, 256)  1024        res4a_branch2b[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_24 (Activation)      (None, 14, 14, 256)  0           bn4a_branch2b[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res4a_branch2c (Conv2D)         (None, 14, 14, 1024) 263168      activation_24[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res4a_branch1 (Conv2D)          (None, 14, 14, 1024) 525312      activation_22[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4a_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096        res4a_branch2c[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "bn4a_branch1 (BatchNormalizatio (None, 14, 14, 1024) 4096        res4a_branch1[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "add_8 (Add)                     (None, 14, 14, 1024) 0           bn4a_branch2c[0][0]              \n",
      "                                                                 bn4a_branch1[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "activation_25 (Activation)      (None, 14, 14, 1024) 0           add_8[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "res4b_branch2a (Conv2D)         (None, 14, 14, 256)  262400      activation_25[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4b_branch2a (BatchNormalizati (None, 14, 14, 256)  1024        res4b_branch2a[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_26 (Activation)      (None, 14, 14, 256)  0           bn4b_branch2a[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res4b_branch2b (Conv2D)         (None, 14, 14, 256)  590080      activation_26[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4b_branch2b (BatchNormalizati (None, 14, 14, 256)  1024        res4b_branch2b[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_27 (Activation)      (None, 14, 14, 256)  0           bn4b_branch2b[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res4b_branch2c (Conv2D)         (None, 14, 14, 1024) 263168      activation_27[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4b_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096        res4b_branch2c[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "add_9 (Add)                     (None, 14, 14, 1024) 0           bn4b_branch2c[0][0]              \n",
      "                                                                 activation_25[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_28 (Activation)      (None, 14, 14, 1024) 0           add_9[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "res4c_branch2a (Conv2D)         (None, 14, 14, 256)  262400      activation_28[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4c_branch2a (BatchNormalizati (None, 14, 14, 256)  1024        res4c_branch2a[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_29 (Activation)      (None, 14, 14, 256)  0           bn4c_branch2a[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res4c_branch2b (Conv2D)         (None, 14, 14, 256)  590080      activation_29[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4c_branch2b (BatchNormalizati (None, 14, 14, 256)  1024        res4c_branch2b[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_30 (Activation)      (None, 14, 14, 256)  0           bn4c_branch2b[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res4c_branch2c (Conv2D)         (None, 14, 14, 1024) 263168      activation_30[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4c_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096        res4c_branch2c[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "add_10 (Add)                    (None, 14, 14, 1024) 0           bn4c_branch2c[0][0]              \n",
      "                                                                 activation_28[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_31 (Activation)      (None, 14, 14, 1024) 0           add_10[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "res4d_branch2a (Conv2D)         (None, 14, 14, 256)  262400      activation_31[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4d_branch2a (BatchNormalizati (None, 14, 14, 256)  1024        res4d_branch2a[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_32 (Activation)      (None, 14, 14, 256)  0           bn4d_branch2a[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res4d_branch2b (Conv2D)         (None, 14, 14, 256)  590080      activation_32[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4d_branch2b (BatchNormalizati (None, 14, 14, 256)  1024        res4d_branch2b[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_33 (Activation)      (None, 14, 14, 256)  0           bn4d_branch2b[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res4d_branch2c (Conv2D)         (None, 14, 14, 1024) 263168      activation_33[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4d_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096        res4d_branch2c[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "add_11 (Add)                    (None, 14, 14, 1024) 0           bn4d_branch2c[0][0]              \n",
      "                                                                 activation_31[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_34 (Activation)      (None, 14, 14, 1024) 0           add_11[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "res4e_branch2a (Conv2D)         (None, 14, 14, 256)  262400      activation_34[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4e_branch2a (BatchNormalizati (None, 14, 14, 256)  1024        res4e_branch2a[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_35 (Activation)      (None, 14, 14, 256)  0           bn4e_branch2a[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res4e_branch2b (Conv2D)         (None, 14, 14, 256)  590080      activation_35[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4e_branch2b (BatchNormalizati (None, 14, 14, 256)  1024        res4e_branch2b[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_36 (Activation)      (None, 14, 14, 256)  0           bn4e_branch2b[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res4e_branch2c (Conv2D)         (None, 14, 14, 1024) 263168      activation_36[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4e_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096        res4e_branch2c[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "add_12 (Add)                    (None, 14, 14, 1024) 0           bn4e_branch2c[0][0]              \n",
      "                                                                 activation_34[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_37 (Activation)      (None, 14, 14, 1024) 0           add_12[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "res4f_branch2a (Conv2D)         (None, 14, 14, 256)  262400      activation_37[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4f_branch2a (BatchNormalizati (None, 14, 14, 256)  1024        res4f_branch2a[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_38 (Activation)      (None, 14, 14, 256)  0           bn4f_branch2a[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res4f_branch2b (Conv2D)         (None, 14, 14, 256)  590080      activation_38[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4f_branch2b (BatchNormalizati (None, 14, 14, 256)  1024        res4f_branch2b[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_39 (Activation)      (None, 14, 14, 256)  0           bn4f_branch2b[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res4f_branch2c (Conv2D)         (None, 14, 14, 1024) 263168      activation_39[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4f_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096        res4f_branch2c[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "add_13 (Add)                    (None, 14, 14, 1024) 0           bn4f_branch2c[0][0]              \n",
      "                                                                 activation_37[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_40 (Activation)      (None, 14, 14, 1024) 0           add_13[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "res5a_branch2a (Conv2D)         (None, 7, 7, 512)    524800      activation_40[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn5a_branch2a (BatchNormalizati (None, 7, 7, 512)    2048        res5a_branch2a[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_41 (Activation)      (None, 7, 7, 512)    0           bn5a_branch2a[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res5a_branch2b (Conv2D)         (None, 7, 7, 512)    2359808     activation_41[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn5a_branch2b (BatchNormalizati (None, 7, 7, 512)    2048        res5a_branch2b[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_42 (Activation)      (None, 7, 7, 512)    0           bn5a_branch2b[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res5a_branch2c (Conv2D)         (None, 7, 7, 2048)   1050624     activation_42[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res5a_branch1 (Conv2D)          (None, 7, 7, 2048)   2099200     activation_40[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn5a_branch2c (BatchNormalizati (None, 7, 7, 2048)   8192        res5a_branch2c[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "bn5a_branch1 (BatchNormalizatio (None, 7, 7, 2048)   8192        res5a_branch1[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "add_14 (Add)                    (None, 7, 7, 2048)   0           bn5a_branch2c[0][0]              \n",
      "                                                                 bn5a_branch1[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "activation_43 (Activation)      (None, 7, 7, 2048)   0           add_14[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "res5b_branch2a (Conv2D)         (None, 7, 7, 512)    1049088     activation_43[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn5b_branch2a (BatchNormalizati (None, 7, 7, 512)    2048        res5b_branch2a[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_44 (Activation)      (None, 7, 7, 512)    0           bn5b_branch2a[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res5b_branch2b (Conv2D)         (None, 7, 7, 512)    2359808     activation_44[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn5b_branch2b (BatchNormalizati (None, 7, 7, 512)    2048        res5b_branch2b[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_45 (Activation)      (None, 7, 7, 512)    0           bn5b_branch2b[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res5b_branch2c (Conv2D)         (None, 7, 7, 2048)   1050624     activation_45[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn5b_branch2c (BatchNormalizati (None, 7, 7, 2048)   8192        res5b_branch2c[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "add_15 (Add)                    (None, 7, 7, 2048)   0           bn5b_branch2c[0][0]              \n",
      "                                                                 activation_43[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_46 (Activation)      (None, 7, 7, 2048)   0           add_15[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "res5c_branch2a (Conv2D)         (None, 7, 7, 512)    1049088     activation_46[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn5c_branch2a (BatchNormalizati (None, 7, 7, 512)    2048        res5c_branch2a[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_47 (Activation)      (None, 7, 7, 512)    0           bn5c_branch2a[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res5c_branch2b (Conv2D)         (None, 7, 7, 512)    2359808     activation_47[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn5c_branch2b (BatchNormalizati (None, 7, 7, 512)    2048        res5c_branch2b[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_48 (Activation)      (None, 7, 7, 512)    0           bn5c_branch2b[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res5c_branch2c (Conv2D)         (None, 7, 7, 2048)   1050624     activation_48[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn5c_branch2c (BatchNormalizati (None, 7, 7, 2048)   8192        res5c_branch2c[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "add_16 (Add)                    (None, 7, 7, 2048)   0           bn5c_branch2c[0][0]              \n",
      "                                                                 activation_46[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_49 (Activation)      (None, 7, 7, 2048)   0           add_16[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "global_average_pooling2d_1 (Glo (None, 2048)         0           activation_49[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "dense_1 (Dense)                 (None, 256)          524544      global_average_pooling2d_1[0][0] \n",
      "__________________________________________________________________________________________________\n",
      "dropout_1 (Dropout)             (None, 256)          0           dense_1[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "dense_2 (Dense)                 (None, 1)            257         dropout_1[0][0]                  \n",
      "==================================================================================================\n",
      "Total params: 24,112,513\n",
      "Trainable params: 24,059,393\n",
      "Non-trainable params: 53,120\n",
      "__________________________________________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "av1 = GlobalAveragePooling2D()(model.output)\n",
    "fc1 = Dense(256,activation='relu')(av1)\n",
    "d1 = Dropout(0.5)(fc1)\n",
    "fc2 = Dense(1,activation='sigmoid')(d1)\n",
    "\n",
    "model_new = Model(inputs=model.input, outputs= fc2)\n",
    "model_new.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "adam = Adam(lr=0.00003)\n",
    "model_new.compile(loss='binary_crossentropy',optimizer='adam',metrics=['accuracy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 <keras.engine.input_layer.InputLayer object at 0x00000184664AAD68>\n",
      "1 <keras.layers.convolutional.ZeroPadding2D object at 0x000001846430F6A0>\n",
      "2 <keras.layers.convolutional.Conv2D object at 0x00000184643D96A0>\n",
      "3 <keras.layers.normalization.BatchNormalization object at 0x00000184664BDE48>\n",
      "4 <keras.layers.core.Activation object at 0x00000184664FA748>\n",
      "5 <keras.layers.convolutional.ZeroPadding2D object at 0x000001846650E940>\n",
      "6 <keras.layers.pooling.MaxPooling2D object at 0x00000184664BDB70>\n",
      "7 <keras.layers.convolutional.Conv2D object at 0x00000184664D9DD8>\n",
      "8 <keras.layers.normalization.BatchNormalization object at 0x00000184665A6B70>\n",
      "9 <keras.layers.core.Activation object at 0x00000184665A6A90>\n",
      "10 <keras.layers.convolutional.Conv2D object at 0x00000184665A6F98>\n",
      "11 <keras.layers.normalization.BatchNormalization object at 0x00000184665A6DA0>\n",
      "12 <keras.layers.core.Activation object at 0x00000184665CDC18>\n",
      "13 <keras.layers.convolutional.Conv2D object at 0x00000184665EBF28>\n",
      "14 <keras.layers.convolutional.Conv2D object at 0x0000018466609F60>\n",
      "15 <keras.layers.normalization.BatchNormalization object at 0x0000018466609B00>\n",
      "16 <keras.layers.normalization.BatchNormalization object at 0x000001846664B710>\n",
      "17 <keras.layers.merge.Add object at 0x0000018466657128>\n",
      "18 <keras.layers.core.Activation object at 0x0000018466676668>\n",
      "19 <keras.layers.convolutional.Conv2D object at 0x0000018466694CC0>\n",
      "20 <keras.layers.normalization.BatchNormalization object at 0x00000184666A25F8>\n",
      "21 <keras.layers.core.Activation object at 0x00000184666C54A8>\n",
      "22 <keras.layers.convolutional.Conv2D object at 0x00000184666E1DD8>\n",
      "23 <keras.layers.normalization.BatchNormalization object at 0x00000184666E1828>\n",
      "24 <keras.layers.core.Activation object at 0x00000184667009B0>\n",
      "25 <keras.layers.convolutional.Conv2D object at 0x0000018466730A20>\n",
      "26 <keras.layers.normalization.BatchNormalization object at 0x0000018466748080>\n",
      "27 <keras.layers.merge.Add object at 0x0000018466757E48>\n",
      "28 <keras.layers.core.Activation object at 0x000001846677DF98>\n",
      "29 <keras.layers.convolutional.Conv2D object at 0x000001846677DF60>\n",
      "30 <keras.layers.normalization.BatchNormalization object at 0x00000184667885C0>\n",
      "31 <keras.layers.core.Activation object at 0x00000184667B60F0>\n",
      "32 <keras.layers.convolutional.Conv2D object at 0x00000184667F4F28>\n",
      "33 <keras.layers.normalization.BatchNormalization object at 0x00000184667D8EF0>\n",
      "34 <keras.layers.core.Activation object at 0x00000184667D8E48>\n",
      "35 <keras.layers.convolutional.Conv2D object at 0x0000018466822F98>\n",
      "36 <keras.layers.normalization.BatchNormalization object at 0x0000018466822BA8>\n",
      "37 <keras.layers.merge.Add object at 0x00000184668409B0>\n",
      "38 <keras.layers.core.Activation object at 0x000001846686CC18>\n",
      "39 <keras.layers.convolutional.Conv2D object at 0x000001846686CDA0>\n",
      "40 <keras.layers.normalization.BatchNormalization object at 0x0000018466897D30>\n",
      "41 <keras.layers.core.Activation object at 0x000001846689FD68>\n",
      "42 <keras.layers.convolutional.Conv2D object at 0x00000184668BBFD0>\n",
      "43 <keras.layers.normalization.BatchNormalization object at 0x00000184668C96D8>\n",
      "44 <keras.layers.core.Activation object at 0x00000184668DDB38>\n",
      "45 <keras.layers.convolutional.Conv2D object at 0x000001846692BA90>\n",
      "46 <keras.layers.convolutional.Conv2D object at 0x0000018466916470>\n",
      "47 <keras.layers.normalization.BatchNormalization object at 0x0000018466916DD8>\n",
      "48 <keras.layers.normalization.BatchNormalization object at 0x0000018466961668>\n",
      "49 <keras.layers.merge.Add object at 0x000001846697AF98>\n",
      "50 <keras.layers.core.Activation object at 0x000001846698DB38>\n",
      "51 <keras.layers.convolutional.Conv2D object at 0x00000184669AFF28>\n",
      "52 <keras.layers.normalization.BatchNormalization object at 0x00000184669D9A58>\n",
      "53 <keras.layers.core.Activation object at 0x00000184669DAAC8>\n",
      "54 <keras.layers.convolutional.Conv2D object at 0x00000184669FBCC0>\n",
      "55 <keras.layers.normalization.BatchNormalization object at 0x00000184679D9D30>\n",
      "56 <keras.layers.core.Activation object at 0x00000184679D9D68>\n",
      "57 <keras.layers.convolutional.Conv2D object at 0x0000018467A326A0>\n",
      "58 <keras.layers.normalization.BatchNormalization object at 0x0000018467A26E80>\n",
      "59 <keras.layers.merge.Add object at 0x0000018467A42D30>\n",
      "60 <keras.layers.core.Activation object at 0x0000018467A72E10>\n",
      "61 <keras.layers.convolutional.Conv2D object at 0x0000018467A72B00>\n",
      "62 <keras.layers.normalization.BatchNormalization object at 0x0000018467A7FE10>\n",
      "63 <keras.layers.core.Activation object at 0x0000018467AA2748>\n",
      "64 <keras.layers.convolutional.Conv2D object at 0x0000018467ABF860>\n",
      "65 <keras.layers.normalization.BatchNormalization object at 0x0000018467AD5128>\n",
      "66 <keras.layers.core.Activation object at 0x0000018467AE6D68>\n",
      "67 <keras.layers.convolutional.Conv2D object at 0x0000018467B0BDD8>\n",
      "68 <keras.layers.normalization.BatchNormalization object at 0x0000018467B18AC8>\n",
      "69 <keras.layers.merge.Add object at 0x0000018467B18CC0>\n",
      "70 <keras.layers.core.Activation object at 0x0000018467B659B0>\n",
      "71 <keras.layers.convolutional.Conv2D object at 0x0000018467B65DD8>\n",
      "72 <keras.layers.normalization.BatchNormalization object at 0x0000018467B7AF60>\n",
      "73 <keras.layers.core.Activation object at 0x0000018467B933C8>\n",
      "74 <keras.layers.convolutional.Conv2D object at 0x0000018467BC8BE0>\n",
      "75 <keras.layers.normalization.BatchNormalization object at 0x0000018467BB3748>\n",
      "76 <keras.layers.core.Activation object at 0x0000018467BD0B38>\n",
      "77 <keras.layers.convolutional.Conv2D object at 0x0000018467BFFB38>\n",
      "78 <keras.layers.normalization.BatchNormalization object at 0x0000018467C14128>\n",
      "79 <keras.layers.merge.Add object at 0x0000018467C28D68>\n",
      "80 <keras.layers.core.Activation object at 0x0000018467C4CF60>\n",
      "81 <keras.layers.convolutional.Conv2D object at 0x0000018467C4CE10>\n",
      "82 <keras.layers.normalization.BatchNormalization object at 0x0000018467C63908>\n",
      "83 <keras.layers.core.Activation object at 0x0000018467C86278>\n",
      "84 <keras.layers.convolutional.Conv2D object at 0x0000018467CC4E48>\n",
      "85 <keras.layers.normalization.BatchNormalization object at 0x0000018467CA4390>\n",
      "86 <keras.layers.core.Activation object at 0x0000018467CBADA0>\n",
      "87 <keras.layers.convolutional.Conv2D object at 0x0000018467D06BE0>\n",
      "88 <keras.layers.convolutional.Conv2D object at 0x0000018467D0DB38>\n",
      "89 <keras.layers.normalization.BatchNormalization object at 0x0000018467CF1AC8>\n",
      "90 <keras.layers.normalization.BatchNormalization object at 0x0000018467D61EB8>\n",
      "91 <keras.layers.merge.Add object at 0x0000018467D71C88>\n",
      "92 <keras.layers.core.Activation object at 0x0000018467D40E48>\n",
      "93 <keras.layers.convolutional.Conv2D object at 0x0000018467D8DFD0>\n",
      "94 <keras.layers.normalization.BatchNormalization object at 0x0000018467DB4E48>\n",
      "95 <keras.layers.core.Activation object at 0x0000018467DD9EF0>\n",
      "96 <keras.layers.convolutional.Conv2D object at 0x0000018467DE67B8>\n",
      "97 <keras.layers.normalization.BatchNormalization object at 0x0000018467DE6D68>\n",
      "98 <keras.layers.core.Activation object at 0x0000018467DFBC50>\n",
      "99 <keras.layers.convolutional.Conv2D object at 0x0000018467E2FEB8>\n",
      "100 <keras.layers.normalization.BatchNormalization object at 0x0000018467E2F5C0>\n",
      "101 <keras.layers.merge.Add object at 0x0000018467E4AE48>\n",
      "102 <keras.layers.core.Activation object at 0x0000018467E7D8D0>\n",
      "103 <keras.layers.convolutional.Conv2D object at 0x0000018467E7DD30>\n",
      "104 <keras.layers.normalization.BatchNormalization object at 0x0000018467EA7B00>\n",
      "105 <keras.layers.core.Activation object at 0x0000018467EADB38>\n",
      "106 <keras.layers.convolutional.Conv2D object at 0x0000018467ECAFD0>\n",
      "107 <keras.layers.normalization.BatchNormalization object at 0x0000018467EF5F98>\n",
      "108 <keras.layers.core.Activation object at 0x0000018467ED6438>\n",
      "109 <keras.layers.convolutional.Conv2D object at 0x0000018467F24E80>\n",
      "110 <keras.layers.normalization.BatchNormalization object at 0x0000018467F24978>\n",
      "111 <keras.layers.merge.Add object at 0x0000018467F39C50>\n",
      "112 <keras.layers.core.Activation object at 0x0000018467F72D68>\n",
      "113 <keras.layers.convolutional.Conv2D object at 0x0000018467F72B70>\n",
      "114 <keras.layers.normalization.BatchNormalization object at 0x0000018467F7FAC8>\n",
      "115 <keras.layers.core.Activation object at 0x00000184680D07B8>\n",
      "116 <keras.layers.convolutional.Conv2D object at 0x00000184680EE940>\n",
      "117 <keras.layers.normalization.BatchNormalization object at 0x0000018468105198>\n",
      "118 <keras.layers.core.Activation object at 0x0000018468116C18>\n",
      "119 <keras.layers.convolutional.Conv2D object at 0x000001846813AEF0>\n",
      "120 <keras.layers.normalization.BatchNormalization object at 0x0000018468159748>\n",
      "121 <keras.layers.merge.Add object at 0x0000018468152518>\n",
      "122 <keras.layers.core.Activation object at 0x0000018468424A20>\n",
      "123 <keras.layers.convolutional.Conv2D object at 0x0000018468424E48>\n",
      "124 <keras.layers.normalization.BatchNormalization object at 0x0000018468431080>\n",
      "125 <keras.layers.core.Activation object at 0x0000018468450438>\n",
      "126 <keras.layers.convolutional.Conv2D object at 0x0000018468487C50>\n",
      "127 <keras.layers.normalization.BatchNormalization object at 0x0000018468470780>\n",
      "128 <keras.layers.core.Activation object at 0x000001846848DB70>\n",
      "129 <keras.layers.convolutional.Conv2D object at 0x00000184684BAC18>\n",
      "130 <keras.layers.normalization.BatchNormalization object at 0x00000184684D6198>\n",
      "131 <keras.layers.merge.Add object at 0x00000184684E8C18>\n",
      "132 <keras.layers.core.Activation object at 0x000001846850AF60>\n",
      "133 <keras.layers.convolutional.Conv2D object at 0x000001846850AE80>\n",
      "134 <keras.layers.normalization.BatchNormalization object at 0x0000018468644358>\n",
      "135 <keras.layers.core.Activation object at 0x0000018468663048>\n",
      "136 <keras.layers.convolutional.Conv2D object at 0x00000184686A1EB8>\n",
      "137 <keras.layers.normalization.BatchNormalization object at 0x00000184686842B0>\n",
      "138 <keras.layers.core.Activation object at 0x000001846869AE10>\n",
      "139 <keras.layers.convolutional.Conv2D object at 0x00000184686E8C50>\n",
      "140 <keras.layers.normalization.BatchNormalization object at 0x00000184686CFB70>\n",
      "141 <keras.layers.merge.Add object at 0x00000184686F0B70>\n",
      "142 <keras.layers.core.Activation object at 0x000001846871FCC0>\n",
      "143 <keras.layers.convolutional.Conv2D object at 0x000001846871FD68>\n",
      "144 <keras.layers.normalization.BatchNormalization object at 0x0000018468746DD8>\n",
      "145 <keras.layers.core.Activation object at 0x000001846874CCF8>\n",
      "146 <keras.layers.convolutional.Conv2D object at 0x0000018468769FD0>\n",
      "147 <keras.layers.normalization.BatchNormalization object at 0x0000018468775550>\n",
      "148 <keras.layers.core.Activation object at 0x0000018468782048>\n",
      "149 <keras.layers.convolutional.Conv2D object at 0x00000184687E4EB8>\n",
      "150 <keras.layers.convolutional.Conv2D object at 0x00000184687D8E10>\n",
      "151 <keras.layers.normalization.BatchNormalization object at 0x00000184687C37F0>\n",
      "152 <keras.layers.normalization.BatchNormalization object at 0x0000018468812898>\n",
      "153 <keras.layers.merge.Add object at 0x0000018468E81B70>\n",
      "154 <keras.layers.core.Activation object at 0x0000018468E8EC18>\n",
      "155 <keras.layers.convolutional.Conv2D object at 0x0000018468EAD9B0>\n",
      "156 <keras.layers.normalization.BatchNormalization object at 0x0000018469148B70>\n",
      "157 <keras.layers.core.Activation object at 0x000001846914EBA8>\n",
      "158 <keras.layers.convolutional.Conv2D object at 0x000001846916BF98>\n",
      "159 <keras.layers.normalization.BatchNormalization object at 0x0000018469183D30>\n",
      "160 <keras.layers.core.Activation object at 0x0000018469177CC0>\n",
      "161 <keras.layers.convolutional.Conv2D object at 0x00000184691C6EB8>\n",
      "162 <keras.layers.normalization.BatchNormalization object at 0x00000184691C69E8>\n",
      "163 <keras.layers.merge.Add object at 0x00000184691DCCC0>\n",
      "164 <keras.layers.core.Activation object at 0x0000018469211C50>\n",
      "165 <keras.layers.convolutional.Conv2D object at 0x0000018469211CC0>\n",
      "166 <keras.layers.normalization.BatchNormalization object at 0x000001846921BB38>\n",
      "167 <keras.layers.core.Activation object at 0x000001846AB63828>\n",
      "168 <keras.layers.convolutional.Conv2D object at 0x000001846AB7CA20>\n",
      "169 <keras.layers.normalization.BatchNormalization object at 0x000001846AB96048>\n",
      "170 <keras.layers.core.Activation object at 0x000001846ABA5E48>\n",
      "171 <keras.layers.convolutional.Conv2D object at 0x000001846ABCAEB8>\n",
      "172 <keras.layers.normalization.BatchNormalization object at 0x000001846ABE3588>\n",
      "173 <keras.layers.merge.Add object at 0x000001846ABD8710>\n",
      "174 <keras.layers.core.Activation object at 0x000001846AC24EF0>\n",
      "175 <keras.layers.pooling.GlobalAveragePooling2D object at 0x000001846ADCAA20>\n",
      "176 <keras.layers.core.Dense object at 0x000001846ADCA9E8>\n",
      "177 <keras.layers.core.Dropout object at 0x000001846ADCAB38>\n",
      "178 <keras.layers.core.Dense object at 0x000001846ADCAF28>\n"
     ]
    }
   ],
   "source": [
    "for ix in range(len(model_new.layers)):\n",
    "    print(ix, model_new.layers[ix])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"model_1\"\n",
      "__________________________________________________________________________________________________\n",
      "Layer (type)                    Output Shape         Param #     Connected to                     \n",
      "==================================================================================================\n",
      "input_1 (InputLayer)            (None, 224, 224, 3)  0                                            \n",
      "__________________________________________________________________________________________________\n",
      "conv1_pad (ZeroPadding2D)       (None, 230, 230, 3)  0           input_1[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "conv1 (Conv2D)                  (None, 112, 112, 64) 9472        conv1_pad[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "bn_conv1 (BatchNormalization)   (None, 112, 112, 64) 256         conv1[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "activation_1 (Activation)       (None, 112, 112, 64) 0           bn_conv1[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "pool1_pad (ZeroPadding2D)       (None, 114, 114, 64) 0           activation_1[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "max_pooling2d_1 (MaxPooling2D)  (None, 56, 56, 64)   0           pool1_pad[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "res2a_branch2a (Conv2D)         (None, 56, 56, 64)   4160        max_pooling2d_1[0][0]            \n",
      "__________________________________________________________________________________________________\n",
      "bn2a_branch2a (BatchNormalizati (None, 56, 56, 64)   256         res2a_branch2a[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_2 (Activation)       (None, 56, 56, 64)   0           bn2a_branch2a[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res2a_branch2b (Conv2D)         (None, 56, 56, 64)   36928       activation_2[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "bn2a_branch2b (BatchNormalizati (None, 56, 56, 64)   256         res2a_branch2b[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_3 (Activation)       (None, 56, 56, 64)   0           bn2a_branch2b[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res2a_branch2c (Conv2D)         (None, 56, 56, 256)  16640       activation_3[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "res2a_branch1 (Conv2D)          (None, 56, 56, 256)  16640       max_pooling2d_1[0][0]            \n",
      "__________________________________________________________________________________________________\n",
      "bn2a_branch2c (BatchNormalizati (None, 56, 56, 256)  1024        res2a_branch2c[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "bn2a_branch1 (BatchNormalizatio (None, 56, 56, 256)  1024        res2a_branch1[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "add_1 (Add)                     (None, 56, 56, 256)  0           bn2a_branch2c[0][0]              \n",
      "                                                                 bn2a_branch1[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "activation_4 (Activation)       (None, 56, 56, 256)  0           add_1[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "res2b_branch2a (Conv2D)         (None, 56, 56, 64)   16448       activation_4[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "bn2b_branch2a (BatchNormalizati (None, 56, 56, 64)   256         res2b_branch2a[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_5 (Activation)       (None, 56, 56, 64)   0           bn2b_branch2a[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res2b_branch2b (Conv2D)         (None, 56, 56, 64)   36928       activation_5[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "bn2b_branch2b (BatchNormalizati (None, 56, 56, 64)   256         res2b_branch2b[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_6 (Activation)       (None, 56, 56, 64)   0           bn2b_branch2b[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res2b_branch2c (Conv2D)         (None, 56, 56, 256)  16640       activation_6[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "bn2b_branch2c (BatchNormalizati (None, 56, 56, 256)  1024        res2b_branch2c[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "add_2 (Add)                     (None, 56, 56, 256)  0           bn2b_branch2c[0][0]              \n",
      "                                                                 activation_4[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "activation_7 (Activation)       (None, 56, 56, 256)  0           add_2[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "res2c_branch2a (Conv2D)         (None, 56, 56, 64)   16448       activation_7[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "bn2c_branch2a (BatchNormalizati (None, 56, 56, 64)   256         res2c_branch2a[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_8 (Activation)       (None, 56, 56, 64)   0           bn2c_branch2a[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res2c_branch2b (Conv2D)         (None, 56, 56, 64)   36928       activation_8[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "bn2c_branch2b (BatchNormalizati (None, 56, 56, 64)   256         res2c_branch2b[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_9 (Activation)       (None, 56, 56, 64)   0           bn2c_branch2b[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res2c_branch2c (Conv2D)         (None, 56, 56, 256)  16640       activation_9[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "bn2c_branch2c (BatchNormalizati (None, 56, 56, 256)  1024        res2c_branch2c[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "add_3 (Add)                     (None, 56, 56, 256)  0           bn2c_branch2c[0][0]              \n",
      "                                                                 activation_7[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "activation_10 (Activation)      (None, 56, 56, 256)  0           add_3[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "res3a_branch2a (Conv2D)         (None, 28, 28, 128)  32896       activation_10[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn3a_branch2a (BatchNormalizati (None, 28, 28, 128)  512         res3a_branch2a[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_11 (Activation)      (None, 28, 28, 128)  0           bn3a_branch2a[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res3a_branch2b (Conv2D)         (None, 28, 28, 128)  147584      activation_11[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn3a_branch2b (BatchNormalizati (None, 28, 28, 128)  512         res3a_branch2b[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_12 (Activation)      (None, 28, 28, 128)  0           bn3a_branch2b[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res3a_branch2c (Conv2D)         (None, 28, 28, 512)  66048       activation_12[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res3a_branch1 (Conv2D)          (None, 28, 28, 512)  131584      activation_10[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn3a_branch2c (BatchNormalizati (None, 28, 28, 512)  2048        res3a_branch2c[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "bn3a_branch1 (BatchNormalizatio (None, 28, 28, 512)  2048        res3a_branch1[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "add_4 (Add)                     (None, 28, 28, 512)  0           bn3a_branch2c[0][0]              \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                                                                 bn3a_branch1[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "activation_13 (Activation)      (None, 28, 28, 512)  0           add_4[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "res3b_branch2a (Conv2D)         (None, 28, 28, 128)  65664       activation_13[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn3b_branch2a (BatchNormalizati (None, 28, 28, 128)  512         res3b_branch2a[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_14 (Activation)      (None, 28, 28, 128)  0           bn3b_branch2a[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res3b_branch2b (Conv2D)         (None, 28, 28, 128)  147584      activation_14[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn3b_branch2b (BatchNormalizati (None, 28, 28, 128)  512         res3b_branch2b[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_15 (Activation)      (None, 28, 28, 128)  0           bn3b_branch2b[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res3b_branch2c (Conv2D)         (None, 28, 28, 512)  66048       activation_15[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn3b_branch2c (BatchNormalizati (None, 28, 28, 512)  2048        res3b_branch2c[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "add_5 (Add)                     (None, 28, 28, 512)  0           bn3b_branch2c[0][0]              \n",
      "                                                                 activation_13[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_16 (Activation)      (None, 28, 28, 512)  0           add_5[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "res3c_branch2a (Conv2D)         (None, 28, 28, 128)  65664       activation_16[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn3c_branch2a (BatchNormalizati (None, 28, 28, 128)  512         res3c_branch2a[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_17 (Activation)      (None, 28, 28, 128)  0           bn3c_branch2a[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res3c_branch2b (Conv2D)         (None, 28, 28, 128)  147584      activation_17[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn3c_branch2b (BatchNormalizati (None, 28, 28, 128)  512         res3c_branch2b[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_18 (Activation)      (None, 28, 28, 128)  0           bn3c_branch2b[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res3c_branch2c (Conv2D)         (None, 28, 28, 512)  66048       activation_18[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn3c_branch2c (BatchNormalizati (None, 28, 28, 512)  2048        res3c_branch2c[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "add_6 (Add)                     (None, 28, 28, 512)  0           bn3c_branch2c[0][0]              \n",
      "                                                                 activation_16[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_19 (Activation)      (None, 28, 28, 512)  0           add_6[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "res3d_branch2a (Conv2D)         (None, 28, 28, 128)  65664       activation_19[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn3d_branch2a (BatchNormalizati (None, 28, 28, 128)  512         res3d_branch2a[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_20 (Activation)      (None, 28, 28, 128)  0           bn3d_branch2a[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res3d_branch2b (Conv2D)         (None, 28, 28, 128)  147584      activation_20[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn3d_branch2b (BatchNormalizati (None, 28, 28, 128)  512         res3d_branch2b[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_21 (Activation)      (None, 28, 28, 128)  0           bn3d_branch2b[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res3d_branch2c (Conv2D)         (None, 28, 28, 512)  66048       activation_21[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn3d_branch2c (BatchNormalizati (None, 28, 28, 512)  2048        res3d_branch2c[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "add_7 (Add)                     (None, 28, 28, 512)  0           bn3d_branch2c[0][0]              \n",
      "                                                                 activation_19[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_22 (Activation)      (None, 28, 28, 512)  0           add_7[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "res4a_branch2a (Conv2D)         (None, 14, 14, 256)  131328      activation_22[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4a_branch2a (BatchNormalizati (None, 14, 14, 256)  1024        res4a_branch2a[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_23 (Activation)      (None, 14, 14, 256)  0           bn4a_branch2a[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res4a_branch2b (Conv2D)         (None, 14, 14, 256)  590080      activation_23[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4a_branch2b (BatchNormalizati (None, 14, 14, 256)  1024        res4a_branch2b[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_24 (Activation)      (None, 14, 14, 256)  0           bn4a_branch2b[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res4a_branch2c (Conv2D)         (None, 14, 14, 1024) 263168      activation_24[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res4a_branch1 (Conv2D)          (None, 14, 14, 1024) 525312      activation_22[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4a_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096        res4a_branch2c[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "bn4a_branch1 (BatchNormalizatio (None, 14, 14, 1024) 4096        res4a_branch1[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "add_8 (Add)                     (None, 14, 14, 1024) 0           bn4a_branch2c[0][0]              \n",
      "                                                                 bn4a_branch1[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "activation_25 (Activation)      (None, 14, 14, 1024) 0           add_8[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "res4b_branch2a (Conv2D)         (None, 14, 14, 256)  262400      activation_25[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4b_branch2a (BatchNormalizati (None, 14, 14, 256)  1024        res4b_branch2a[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_26 (Activation)      (None, 14, 14, 256)  0           bn4b_branch2a[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res4b_branch2b (Conv2D)         (None, 14, 14, 256)  590080      activation_26[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4b_branch2b (BatchNormalizati (None, 14, 14, 256)  1024        res4b_branch2b[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_27 (Activation)      (None, 14, 14, 256)  0           bn4b_branch2b[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res4b_branch2c (Conv2D)         (None, 14, 14, 1024) 263168      activation_27[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4b_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096        res4b_branch2c[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "add_9 (Add)                     (None, 14, 14, 1024) 0           bn4b_branch2c[0][0]              \n",
      "                                                                 activation_25[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_28 (Activation)      (None, 14, 14, 1024) 0           add_9[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "res4c_branch2a (Conv2D)         (None, 14, 14, 256)  262400      activation_28[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4c_branch2a (BatchNormalizati (None, 14, 14, 256)  1024        res4c_branch2a[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_29 (Activation)      (None, 14, 14, 256)  0           bn4c_branch2a[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res4c_branch2b (Conv2D)         (None, 14, 14, 256)  590080      activation_29[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4c_branch2b (BatchNormalizati (None, 14, 14, 256)  1024        res4c_branch2b[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_30 (Activation)      (None, 14, 14, 256)  0           bn4c_branch2b[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res4c_branch2c (Conv2D)         (None, 14, 14, 1024) 263168      activation_30[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4c_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096        res4c_branch2c[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "add_10 (Add)                    (None, 14, 14, 1024) 0           bn4c_branch2c[0][0]              \n",
      "                                                                 activation_28[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_31 (Activation)      (None, 14, 14, 1024) 0           add_10[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "res4d_branch2a (Conv2D)         (None, 14, 14, 256)  262400      activation_31[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4d_branch2a (BatchNormalizati (None, 14, 14, 256)  1024        res4d_branch2a[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_32 (Activation)      (None, 14, 14, 256)  0           bn4d_branch2a[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res4d_branch2b (Conv2D)         (None, 14, 14, 256)  590080      activation_32[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4d_branch2b (BatchNormalizati (None, 14, 14, 256)  1024        res4d_branch2b[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_33 (Activation)      (None, 14, 14, 256)  0           bn4d_branch2b[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res4d_branch2c (Conv2D)         (None, 14, 14, 1024) 263168      activation_33[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4d_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096        res4d_branch2c[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "add_11 (Add)                    (None, 14, 14, 1024) 0           bn4d_branch2c[0][0]              \n",
      "                                                                 activation_31[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_34 (Activation)      (None, 14, 14, 1024) 0           add_11[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "res4e_branch2a (Conv2D)         (None, 14, 14, 256)  262400      activation_34[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4e_branch2a (BatchNormalizati (None, 14, 14, 256)  1024        res4e_branch2a[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_35 (Activation)      (None, 14, 14, 256)  0           bn4e_branch2a[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res4e_branch2b (Conv2D)         (None, 14, 14, 256)  590080      activation_35[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4e_branch2b (BatchNormalizati (None, 14, 14, 256)  1024        res4e_branch2b[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_36 (Activation)      (None, 14, 14, 256)  0           bn4e_branch2b[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res4e_branch2c (Conv2D)         (None, 14, 14, 1024) 263168      activation_36[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4e_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096        res4e_branch2c[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "add_12 (Add)                    (None, 14, 14, 1024) 0           bn4e_branch2c[0][0]              \n",
      "                                                                 activation_34[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_37 (Activation)      (None, 14, 14, 1024) 0           add_12[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "res4f_branch2a (Conv2D)         (None, 14, 14, 256)  262400      activation_37[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4f_branch2a (BatchNormalizati (None, 14, 14, 256)  1024        res4f_branch2a[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_38 (Activation)      (None, 14, 14, 256)  0           bn4f_branch2a[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res4f_branch2b (Conv2D)         (None, 14, 14, 256)  590080      activation_38[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4f_branch2b (BatchNormalizati (None, 14, 14, 256)  1024        res4f_branch2b[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_39 (Activation)      (None, 14, 14, 256)  0           bn4f_branch2b[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res4f_branch2c (Conv2D)         (None, 14, 14, 1024) 263168      activation_39[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn4f_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096        res4f_branch2c[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "add_13 (Add)                    (None, 14, 14, 1024) 0           bn4f_branch2c[0][0]              \n",
      "                                                                 activation_37[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_40 (Activation)      (None, 14, 14, 1024) 0           add_13[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "res5a_branch2a (Conv2D)         (None, 7, 7, 512)    524800      activation_40[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn5a_branch2a (BatchNormalizati (None, 7, 7, 512)    2048        res5a_branch2a[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_41 (Activation)      (None, 7, 7, 512)    0           bn5a_branch2a[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res5a_branch2b (Conv2D)         (None, 7, 7, 512)    2359808     activation_41[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn5a_branch2b (BatchNormalizati (None, 7, 7, 512)    2048        res5a_branch2b[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_42 (Activation)      (None, 7, 7, 512)    0           bn5a_branch2b[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res5a_branch2c (Conv2D)         (None, 7, 7, 2048)   1050624     activation_42[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res5a_branch1 (Conv2D)          (None, 7, 7, 2048)   2099200     activation_40[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn5a_branch2c (BatchNormalizati (None, 7, 7, 2048)   8192        res5a_branch2c[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "bn5a_branch1 (BatchNormalizatio (None, 7, 7, 2048)   8192        res5a_branch1[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "add_14 (Add)                    (None, 7, 7, 2048)   0           bn5a_branch2c[0][0]              \n",
      "                                                                 bn5a_branch1[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "activation_43 (Activation)      (None, 7, 7, 2048)   0           add_14[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "res5b_branch2a (Conv2D)         (None, 7, 7, 512)    1049088     activation_43[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn5b_branch2a (BatchNormalizati (None, 7, 7, 512)    2048        res5b_branch2a[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_44 (Activation)      (None, 7, 7, 512)    0           bn5b_branch2a[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res5b_branch2b (Conv2D)         (None, 7, 7, 512)    2359808     activation_44[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn5b_branch2b (BatchNormalizati (None, 7, 7, 512)    2048        res5b_branch2b[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_45 (Activation)      (None, 7, 7, 512)    0           bn5b_branch2b[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res5b_branch2c (Conv2D)         (None, 7, 7, 2048)   1050624     activation_45[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn5b_branch2c (BatchNormalizati (None, 7, 7, 2048)   8192        res5b_branch2c[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "add_15 (Add)                    (None, 7, 7, 2048)   0           bn5b_branch2c[0][0]              \n",
      "                                                                 activation_43[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_46 (Activation)      (None, 7, 7, 2048)   0           add_15[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "res5c_branch2a (Conv2D)         (None, 7, 7, 512)    1049088     activation_46[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn5c_branch2a (BatchNormalizati (None, 7, 7, 512)    2048        res5c_branch2a[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_47 (Activation)      (None, 7, 7, 512)    0           bn5c_branch2a[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res5c_branch2b (Conv2D)         (None, 7, 7, 512)    2359808     activation_47[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn5c_branch2b (BatchNormalizati (None, 7, 7, 512)    2048        res5c_branch2b[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "activation_48 (Activation)      (None, 7, 7, 512)    0           bn5c_branch2b[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "res5c_branch2c (Conv2D)         (None, 7, 7, 2048)   1050624     activation_48[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "bn5c_branch2c (BatchNormalizati (None, 7, 7, 2048)   8192        res5c_branch2c[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "add_16 (Add)                    (None, 7, 7, 2048)   0           bn5c_branch2c[0][0]              \n",
      "                                                                 activation_46[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_49 (Activation)      (None, 7, 7, 2048)   0           add_16[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "global_average_pooling2d_1 (Glo (None, 2048)         0           activation_49[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "dense_1 (Dense)                 (None, 256)          524544      global_average_pooling2d_1[0][0] \n",
      "__________________________________________________________________________________________________\n",
      "dropout_1 (Dropout)             (None, 256)          0           dense_1[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "dense_2 (Dense)                 (None, 1)            257         dropout_1[0][0]                  \n",
      "==================================================================================================\n",
      "Total params: 24,112,513\n",
      "Trainable params: 15,502,849\n",
      "Non-trainable params: 8,609,664\n",
      "__________________________________________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "for ix in range(140):\n",
    "    model_new.layers[ix].trainable = False\n",
    "    \n",
    "model_new.compile(loss='binary_crossentropy', optimizer=adam, metrics=['accuracy'])\n",
    "model_new.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "train_data,test_data,train_target,test_target=train_test_split(data,target,test_size=0.1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 281 samples, validate on 71 samples\n",
      "Epoch 1/5\n",
      "281/281 [==============================] - 96s 342ms/step - loss: 0.5020 - accuracy: 0.7473 - val_loss: 0.7694 - val_accuracy: 0.5211\n",
      "Epoch 2/5\n",
      "281/281 [==============================] - 89s 315ms/step - loss: 0.1358 - accuracy: 0.9751 - val_loss: 0.7173 - val_accuracy: 0.5211\n",
      "Epoch 3/5\n",
      "281/281 [==============================] - 89s 316ms/step - loss: 0.0629 - accuracy: 0.9929 - val_loss: 0.7010 - val_accuracy: 0.5211\n",
      "Epoch 4/5\n",
      "281/281 [==============================] - 90s 321ms/step - loss: 0.0492 - accuracy: 0.9858 - val_loss: 0.6913 - val_accuracy: 0.5211\n",
      "Epoch 5/5\n",
      "281/281 [==============================] - 88s 315ms/step - loss: 0.0451 - accuracy: 0.9929 - val_loss: 0.6900 - val_accuracy: 0.6338\n"
     ]
    }
   ],
   "source": [
    "\n",
    "hist = model_new.fit(train_data,train_target,\n",
    "                    shuffle = True,\n",
    "                    batch_size = 16,\n",
    "                    epochs = 5,\n",
    "                    validation_split=0.20\n",
    "                    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "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": [
    "plt.plot(hist.history['loss'],'r',label='training loss')\n",
    "plt.plot(hist.history['val_loss'],label='validation loss')\n",
    "plt.xlabel('# epochs')\n",
    "plt.ylabel('loss')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "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": [
    "plt.plot(hist.history['accuracy'],'r',label='training accuracy')\n",
    "plt.plot(hist.history['val_accuracy'],label='validation accuracy')\n",
    "plt.xlabel('# epochs')\n",
    "plt.ylabel('accuracy')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "40/40 [==============================] - 8s 198ms/step\n",
      "[0.6890794038772583, 0.625]\n"
     ]
    }
   ],
   "source": [
    "print(model_new.evaluate(test_data,test_target))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn import metrics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred=model_new.predict(test_data)\n",
    "y_pred=y_pred.reshape(-1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(40, 224, 224, 3)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_pred=[]\n",
    "for i in range(y_pred.shape[0]):\n",
    "    if y_pred[i]<=0.5:\n",
    "        final_pred.append(0)\n",
    "    else:\n",
    "        final_pred.append(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_pred=np.array(final_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "import itertools"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(40,)"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_pred.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(40,)\n",
      "(40,)\n"
     ]
    }
   ],
   "source": [
    "print(test_target.shape)\n",
    "print(final_pred.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import confusion_matrix\n",
    "cm = confusion_matrix(test_target, final_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_confusion_matrix(cm, classes,\n",
    "                        normalize=False,\n",
    "                        title='Confusion matrix',\n",
    "                        cmap=plt.cm.Blues):\n",
    "    \"\"\"\n",
    "    This function prints and plots the confusion matrix.\n",
    "    Normalization can be applied by setting `normalize=True`.\n",
    "    \"\"\"\n",
    "    plt.imshow(cm, interpolation='nearest', cmap=cmap)\n",
    "    plt.title(title)\n",
    "    plt.colorbar()\n",
    "    tick_marks = np.arange(len(classes))\n",
    "    plt.xticks(tick_marks, classes, rotation=45)\n",
    "    plt.yticks(tick_marks, classes)\n",
    "\n",
    "    if normalize:\n",
    "        cm = cm.astype('float') / cm.sum(axis=1)[:, np.newaxis]\n",
    "        print(\"Normalized confusion matrix\")\n",
    "    else:\n",
    "        print('Confusion matrix, without normalization')\n",
    "\n",
    "    print(cm)\n",
    "\n",
    "    thresh = cm.max() / 2.\n",
    "    for i, j in itertools.product(range(cm.shape[0]), range(cm.shape[1])):\n",
    "        plt.text(j, i, cm[i, j],\n",
    "            horizontalalignment=\"center\",\n",
    "            color=\"white\" if cm[i, j] > thresh else \"black\")\n",
    "\n",
    "    plt.tight_layout()\n",
    "    plt.ylabel('True label')\n",
    "    plt.xlabel('Predicted label')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "cm_plot_labels = ['covid_positive','covid_negative']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Confusion matrix, without normalization\n",
      "[[ 5 14]\n",
      " [ 1 20]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_confusion_matrix(cm=cm, classes=cm_plot_labels, title='Confusion Matrix')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "     class 0       0.83      0.26      0.40        19\n",
      "     class 1       0.59      0.95      0.73        21\n",
      "\n",
      "    accuracy                           0.62        40\n",
      "   macro avg       0.71      0.61      0.56        40\n",
      "weighted avg       0.70      0.62      0.57        40\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import classification_report\n",
    "target_names=['class 0','class 1']\n",
    "print(classification_report(test_target,final_pred,target_names=target_names))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_roc_cur(fper, tper):  \n",
    "    plt.plot(fper, tper, color='orange', label='ROC')\n",
    "    plt.plot([0, 1], [0, 1], color='darkblue', linestyle='--')\n",
    "    plt.xlabel('False Positive Rate')\n",
    "    plt.ylabel('True Positive Rate')\n",
    "    plt.title('Receiver Operating Characteristic (ROC) Curve')\n",
    "    plt.legend()\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "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": [
    "from sklearn.metrics import roc_curve\n",
    "fper, tper, threshold = roc_curve(test_target, y_pred)\n",
    "plot_roc_cur(fper, tper)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.7919799498746868"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.metrics import roc_auc_score\n",
    "roc_auc_score(test_target,y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "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": "3.6.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}