NEU Surface Defect Database_first.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "1f1bfbea",
   "metadata": {},
   "source": [
    "more detail [here](https://towardsdatascience.com/deep-learning-computer-vision-and-automated-optical-inspection-774e8ca529d3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d0009ae4",
   "metadata": {},
   "outputs": [],
   "source": [
    "# only need once\n",
    "# pip install keras"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "08821b60",
   "metadata": {},
   "outputs": [],
   "source": [
    "# only need once\n",
    "# pip install --upgrade tensorflow"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "fcfd3593",
   "metadata": {},
   "outputs": [],
   "source": [
    "# only need once\n",
    "# pip install --upgrade tensorflow-gpu"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "cc572bf6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " conv2d (Conv2D)             (None, 224, 224, 32)      896       \n",
      "                                                                 \n",
      " max_pooling2d (MaxPooling2D  (None, 112, 112, 32)     0         \n",
      " )                                                               \n",
      "                                                                 \n",
      " conv2d_1 (Conv2D)           (None, 112, 112, 32)      9248      \n",
      "                                                                 \n",
      " max_pooling2d_1 (MaxPooling  (None, 56, 56, 32)       0         \n",
      " 2D)                                                             \n",
      "                                                                 \n",
      " conv2d_2 (Conv2D)           (None, 56, 56, 32)        9248      \n",
      "                                                                 \n",
      " max_pooling2d_2 (MaxPooling  (None, 28, 28, 32)       0         \n",
      " 2D)                                                             \n",
      "                                                                 \n",
      " flatten (Flatten)           (None, 25088)             0         \n",
      "                                                                 \n",
      " dense (Dense)               (None, 512)               12845568  \n",
      "                                                                 \n",
      " dense_1 (Dense)             (None, 512)               262656    \n",
      "                                                                 \n",
      " dense_2 (Dense)             (None, 6)                 3078      \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 13,130,694\n",
      "Trainable params: 13,130,694\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    },
    {
     "ename": "NameError",
     "evalue": "name 'x_train' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m~\\AppData\\Local\\Temp/ipykernel_6844/4063851149.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m     39\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     40\u001b[0m \u001b[1;31m# train the model\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 41\u001b[1;33m history = model.fit(x_train, y_train,\n\u001b[0m\u001b[0;32m     42\u001b[0m                     \u001b[0mbatch_size\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mbatch_size\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     43\u001b[0m                     \u001b[0mepochs\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mnum_epochs\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mNameError\u001b[0m: name 'x_train' is not defined"
     ]
    }
   ],
   "source": [
    "# from tensorflow import keras\n",
    "from keras.models import Sequential\n",
    "from keras.layers import Conv2D, MaxPooling2D, Flatten, Dense\n",
    "\n",
    "# parameters for architecture\n",
    "input_shape = (224, 224, 3)\n",
    "num_classes = 6\n",
    "conv_size = 32\n",
    "\n",
    "# parameters for training\n",
    "batch_size = 32\n",
    "num_epochs = 20\n",
    "\n",
    "# build the model\n",
    "model = Sequential()\n",
    "\n",
    "model.add(Conv2D(conv_size, (3, 3), activation='relu', padding='same', input_shape=input_shape)) \n",
    "model.add(MaxPooling2D(pool_size=(2, 2)))\n",
    "\n",
    "model.add(Conv2D(conv_size, (3, 3), activation='relu', padding='same'))\n",
    "model.add(MaxPooling2D(pool_size=(2, 2)))\n",
    "    \n",
    "model.add(Conv2D(conv_size, (3, 3), activation='relu', padding='same'))\n",
    "model.add(MaxPooling2D(pool_size=(2, 2)))\n",
    "    \n",
    "model.add(Flatten())\n",
    "\n",
    "model.add(Dense(512, activation='relu'))\n",
    "model.add(Dense(512, activation='relu'))\n",
    "\n",
    "model.add(Dense(num_classes, activation='softmax'))\n",
    "\n",
    "# compile the model\n",
    "model.compile(loss='categorical_crossentropy',\n",
    "              optimizer='adam',\n",
    "              metrics=['accuracy'])\n",
    "\n",
    "model.summary()\n",
    " \n",
    "# train the model                    \n",
    "history = model.fit(x_train, y_train,\n",
    "                    batch_size=batch_size,\n",
    "                    epochs=num_epochs,\n",
    "                    verbose=1,\n",
    "                    validation_split=0.1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "a99e2423",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/inception_v3/inception_v3_weights_tf_dim_ordering_tf_kernels_notop.h5\n",
      "87916544/87910968 [==============================] - 11s 0us/step\n",
      "87924736/87910968 [==============================] - 11s 0us/step\n",
      "Model: \"model\"\n",
      "__________________________________________________________________________________________________\n",
      " Layer (type)                   Output Shape         Param #     Connected to                     \n",
      "==================================================================================================\n",
      " input_1 (InputLayer)           [(None, 224, 224, 3  0           []                               \n",
      "                                )]                                                                \n",
      "                                                                                                  \n",
      " conv2d_3 (Conv2D)              (None, 111, 111, 32  864         ['input_1[0][0]']                \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " batch_normalization (BatchNorm  (None, 111, 111, 32  96         ['conv2d_3[0][0]']               \n",
      " alization)                     )                                                                 \n",
      "                                                                                                  \n",
      " activation (Activation)        (None, 111, 111, 32  0           ['batch_normalization[0][0]']    \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " conv2d_4 (Conv2D)              (None, 109, 109, 32  9216        ['activation[0][0]']             \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " batch_normalization_1 (BatchNo  (None, 109, 109, 32  96         ['conv2d_4[0][0]']               \n",
      " rmalization)                   )                                                                 \n",
      "                                                                                                  \n",
      " activation_1 (Activation)      (None, 109, 109, 32  0           ['batch_normalization_1[0][0]']  \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " conv2d_5 (Conv2D)              (None, 109, 109, 64  18432       ['activation_1[0][0]']           \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " batch_normalization_2 (BatchNo  (None, 109, 109, 64  192        ['conv2d_5[0][0]']               \n",
      " rmalization)                   )                                                                 \n",
      "                                                                                                  \n",
      " activation_2 (Activation)      (None, 109, 109, 64  0           ['batch_normalization_2[0][0]']  \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " max_pooling2d_3 (MaxPooling2D)  (None, 54, 54, 64)  0           ['activation_2[0][0]']           \n",
      "                                                                                                  \n",
      " conv2d_6 (Conv2D)              (None, 54, 54, 80)   5120        ['max_pooling2d_3[0][0]']        \n",
      "                                                                                                  \n",
      " batch_normalization_3 (BatchNo  (None, 54, 54, 80)  240         ['conv2d_6[0][0]']               \n",
      " rmalization)                                                                                     \n",
      "                                                                                                  \n",
      " activation_3 (Activation)      (None, 54, 54, 80)   0           ['batch_normalization_3[0][0]']  \n",
      "                                                                                                  \n",
      " conv2d_7 (Conv2D)              (None, 52, 52, 192)  138240      ['activation_3[0][0]']           \n",
      "                                                                                                  \n",
      " batch_normalization_4 (BatchNo  (None, 52, 52, 192)  576        ['conv2d_7[0][0]']               \n",
      " rmalization)                                                                                     \n",
      "                                                                                                  \n",
      " activation_4 (Activation)      (None, 52, 52, 192)  0           ['batch_normalization_4[0][0]']  \n",
      "                                                                                                  \n",
      " max_pooling2d_4 (MaxPooling2D)  (None, 25, 25, 192)  0          ['activation_4[0][0]']           \n",
      "                                                                                                  \n",
      " conv2d_11 (Conv2D)             (None, 25, 25, 64)   12288       ['max_pooling2d_4[0][0]']        \n",
      "                                                                                                  \n",
      " batch_normalization_8 (BatchNo  (None, 25, 25, 64)  192         ['conv2d_11[0][0]']              \n",
      " rmalization)                                                                                     \n",
      "                                                                                                  \n",
      " activation_8 (Activation)      (None, 25, 25, 64)   0           ['batch_normalization_8[0][0]']  \n",
      "                                                                                                  \n",
      " conv2d_9 (Conv2D)              (None, 25, 25, 48)   9216        ['max_pooling2d_4[0][0]']        \n",
      "                                                                                                  \n",
      " conv2d_12 (Conv2D)             (None, 25, 25, 96)   55296       ['activation_8[0][0]']           \n",
      "                                                                                                  \n",
      " batch_normalization_6 (BatchNo  (None, 25, 25, 48)  144         ['conv2d_9[0][0]']               \n",
      " rmalization)                                                                                     \n",
      "                                                                                                  \n",
      " batch_normalization_9 (BatchNo  (None, 25, 25, 96)  288         ['conv2d_12[0][0]']              \n",
      " rmalization)                                                                                     \n",
      "                                                                                                  \n",
      " activation_6 (Activation)      (None, 25, 25, 48)   0           ['batch_normalization_6[0][0]']  \n",
      "                                                                                                  \n",
      " activation_9 (Activation)      (None, 25, 25, 96)   0           ['batch_normalization_9[0][0]']  \n",
      "                                                                                                  \n",
      " average_pooling2d (AveragePool  (None, 25, 25, 192)  0          ['max_pooling2d_4[0][0]']        \n",
      " ing2D)                                                                                           \n",
      "                                                                                                  \n",
      " conv2d_8 (Conv2D)              (None, 25, 25, 64)   12288       ['max_pooling2d_4[0][0]']        \n",
      "                                                                                                  \n",
      " conv2d_10 (Conv2D)             (None, 25, 25, 64)   76800       ['activation_6[0][0]']           \n",
      "                                                                                                  \n",
      " conv2d_13 (Conv2D)             (None, 25, 25, 96)   82944       ['activation_9[0][0]']           \n",
      "                                                                                                  \n",
      " conv2d_14 (Conv2D)             (None, 25, 25, 32)   6144        ['average_pooling2d[0][0]']      \n",
      "                                                                                                  \n",
      " batch_normalization_5 (BatchNo  (None, 25, 25, 64)  192         ['conv2d_8[0][0]']               \n",
      " rmalization)                                                                                     \n",
      "                                                                                                  \n",
      " batch_normalization_7 (BatchNo  (None, 25, 25, 64)  192         ['conv2d_10[0][0]']              \n",
      " rmalization)                                                                                     \n",
      "                                                                                                  \n",
      " batch_normalization_10 (BatchN  (None, 25, 25, 96)  288         ['conv2d_13[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " batch_normalization_11 (BatchN  (None, 25, 25, 32)  96          ['conv2d_14[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " activation_5 (Activation)      (None, 25, 25, 64)   0           ['batch_normalization_5[0][0]']  \n",
      "                                                                                                  \n",
      " activation_7 (Activation)      (None, 25, 25, 64)   0           ['batch_normalization_7[0][0]']  \n",
      "                                                                                                  \n",
      " activation_10 (Activation)     (None, 25, 25, 96)   0           ['batch_normalization_10[0][0]'] \n",
      "                                                                                                  \n",
      " activation_11 (Activation)     (None, 25, 25, 32)   0           ['batch_normalization_11[0][0]'] \n",
      "                                                                                                  \n",
      " mixed0 (Concatenate)           (None, 25, 25, 256)  0           ['activation_5[0][0]',           \n",
      "                                                                  'activation_7[0][0]',           \n",
      "                                                                  'activation_10[0][0]',          \n",
      "                                                                  'activation_11[0][0]']          \n",
      "                                                                                                  \n",
      " conv2d_18 (Conv2D)             (None, 25, 25, 64)   16384       ['mixed0[0][0]']                 \n",
      "                                                                                                  \n",
      " batch_normalization_15 (BatchN  (None, 25, 25, 64)  192         ['conv2d_18[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " activation_15 (Activation)     (None, 25, 25, 64)   0           ['batch_normalization_15[0][0]'] \n",
      "                                                                                                  \n",
      " conv2d_16 (Conv2D)             (None, 25, 25, 48)   12288       ['mixed0[0][0]']                 \n",
      "                                                                                                  \n",
      " conv2d_19 (Conv2D)             (None, 25, 25, 96)   55296       ['activation_15[0][0]']          \n",
      "                                                                                                  \n",
      " batch_normalization_13 (BatchN  (None, 25, 25, 48)  144         ['conv2d_16[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " batch_normalization_16 (BatchN  (None, 25, 25, 96)  288         ['conv2d_19[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " activation_13 (Activation)     (None, 25, 25, 48)   0           ['batch_normalization_13[0][0]'] \n",
      "                                                                                                  \n",
      " activation_16 (Activation)     (None, 25, 25, 96)   0           ['batch_normalization_16[0][0]'] \n",
      "                                                                                                  \n",
      " average_pooling2d_1 (AveragePo  (None, 25, 25, 256)  0          ['mixed0[0][0]']                 \n",
      " oling2D)                                                                                         \n",
      "                                                                                                  \n",
      " conv2d_15 (Conv2D)             (None, 25, 25, 64)   16384       ['mixed0[0][0]']                 \n",
      "                                                                                                  \n",
      " conv2d_17 (Conv2D)             (None, 25, 25, 64)   76800       ['activation_13[0][0]']          \n",
      "                                                                                                  \n",
      " conv2d_20 (Conv2D)             (None, 25, 25, 96)   82944       ['activation_16[0][0]']          \n",
      "                                                                                                  \n",
      " conv2d_21 (Conv2D)             (None, 25, 25, 64)   16384       ['average_pooling2d_1[0][0]']    \n",
      "                                                                                                  \n",
      " batch_normalization_12 (BatchN  (None, 25, 25, 64)  192         ['conv2d_15[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " batch_normalization_14 (BatchN  (None, 25, 25, 64)  192         ['conv2d_17[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " batch_normalization_17 (BatchN  (None, 25, 25, 96)  288         ['conv2d_20[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " batch_normalization_18 (BatchN  (None, 25, 25, 64)  192         ['conv2d_21[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " activation_12 (Activation)     (None, 25, 25, 64)   0           ['batch_normalization_12[0][0]'] \n",
      "                                                                                                  \n",
      " activation_14 (Activation)     (None, 25, 25, 64)   0           ['batch_normalization_14[0][0]'] \n",
      "                                                                                                  \n",
      " activation_17 (Activation)     (None, 25, 25, 96)   0           ['batch_normalization_17[0][0]'] \n",
      "                                                                                                  \n",
      " activation_18 (Activation)     (None, 25, 25, 64)   0           ['batch_normalization_18[0][0]'] \n",
      "                                                                                                  \n",
      " mixed1 (Concatenate)           (None, 25, 25, 288)  0           ['activation_12[0][0]',          \n",
      "                                                                  'activation_14[0][0]',          \n",
      "                                                                  'activation_17[0][0]',          \n",
      "                                                                  'activation_18[0][0]']          \n",
      "                                                                                                  \n",
      " conv2d_25 (Conv2D)             (None, 25, 25, 64)   18432       ['mixed1[0][0]']                 \n",
      "                                                                                                  \n",
      " batch_normalization_22 (BatchN  (None, 25, 25, 64)  192         ['conv2d_25[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " activation_22 (Activation)     (None, 25, 25, 64)   0           ['batch_normalization_22[0][0]'] \n",
      "                                                                                                  \n",
      " conv2d_23 (Conv2D)             (None, 25, 25, 48)   13824       ['mixed1[0][0]']                 \n",
      "                                                                                                  \n",
      " conv2d_26 (Conv2D)             (None, 25, 25, 96)   55296       ['activation_22[0][0]']          \n",
      "                                                                                                  \n",
      " batch_normalization_20 (BatchN  (None, 25, 25, 48)  144         ['conv2d_23[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " batch_normalization_23 (BatchN  (None, 25, 25, 96)  288         ['conv2d_26[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " activation_20 (Activation)     (None, 25, 25, 48)   0           ['batch_normalization_20[0][0]'] \n",
      "                                                                                                  \n",
      " activation_23 (Activation)     (None, 25, 25, 96)   0           ['batch_normalization_23[0][0]'] \n",
      "                                                                                                  \n",
      " average_pooling2d_2 (AveragePo  (None, 25, 25, 288)  0          ['mixed1[0][0]']                 \n",
      " oling2D)                                                                                         \n",
      "                                                                                                  \n",
      " conv2d_22 (Conv2D)             (None, 25, 25, 64)   18432       ['mixed1[0][0]']                 \n",
      "                                                                                                  \n",
      " conv2d_24 (Conv2D)             (None, 25, 25, 64)   76800       ['activation_20[0][0]']          \n",
      "                                                                                                  \n",
      " conv2d_27 (Conv2D)             (None, 25, 25, 96)   82944       ['activation_23[0][0]']          \n",
      "                                                                                                  \n",
      " conv2d_28 (Conv2D)             (None, 25, 25, 64)   18432       ['average_pooling2d_2[0][0]']    \n",
      "                                                                                                  \n",
      " batch_normalization_19 (BatchN  (None, 25, 25, 64)  192         ['conv2d_22[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " batch_normalization_21 (BatchN  (None, 25, 25, 64)  192         ['conv2d_24[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " batch_normalization_24 (BatchN  (None, 25, 25, 96)  288         ['conv2d_27[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " batch_normalization_25 (BatchN  (None, 25, 25, 64)  192         ['conv2d_28[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " activation_19 (Activation)     (None, 25, 25, 64)   0           ['batch_normalization_19[0][0]'] \n",
      "                                                                                                  \n",
      " activation_21 (Activation)     (None, 25, 25, 64)   0           ['batch_normalization_21[0][0]'] \n",
      "                                                                                                  \n",
      " activation_24 (Activation)     (None, 25, 25, 96)   0           ['batch_normalization_24[0][0]'] \n",
      "                                                                                                  \n",
      " activation_25 (Activation)     (None, 25, 25, 64)   0           ['batch_normalization_25[0][0]'] \n",
      "                                                                                                  \n",
      " mixed2 (Concatenate)           (None, 25, 25, 288)  0           ['activation_19[0][0]',          \n",
      "                                                                  'activation_21[0][0]',          \n",
      "                                                                  'activation_24[0][0]',          \n",
      "                                                                  'activation_25[0][0]']          \n",
      "                                                                                                  \n",
      " conv2d_30 (Conv2D)             (None, 25, 25, 64)   18432       ['mixed2[0][0]']                 \n",
      "                                                                                                  \n",
      " batch_normalization_27 (BatchN  (None, 25, 25, 64)  192         ['conv2d_30[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " activation_27 (Activation)     (None, 25, 25, 64)   0           ['batch_normalization_27[0][0]'] \n",
      "                                                                                                  \n",
      " conv2d_31 (Conv2D)             (None, 25, 25, 96)   55296       ['activation_27[0][0]']          \n",
      "                                                                                                  \n",
      " batch_normalization_28 (BatchN  (None, 25, 25, 96)  288         ['conv2d_31[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " activation_28 (Activation)     (None, 25, 25, 96)   0           ['batch_normalization_28[0][0]'] \n",
      "                                                                                                  \n",
      " conv2d_29 (Conv2D)             (None, 12, 12, 384)  995328      ['mixed2[0][0]']                 \n",
      "                                                                                                  \n",
      " conv2d_32 (Conv2D)             (None, 12, 12, 96)   82944       ['activation_28[0][0]']          \n",
      "                                                                                                  \n",
      " batch_normalization_26 (BatchN  (None, 12, 12, 384)  1152       ['conv2d_29[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " batch_normalization_29 (BatchN  (None, 12, 12, 96)  288         ['conv2d_32[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " activation_26 (Activation)     (None, 12, 12, 384)  0           ['batch_normalization_26[0][0]'] \n",
      "                                                                                                  \n",
      " activation_29 (Activation)     (None, 12, 12, 96)   0           ['batch_normalization_29[0][0]'] \n",
      "                                                                                                  \n",
      " max_pooling2d_5 (MaxPooling2D)  (None, 12, 12, 288)  0          ['mixed2[0][0]']                 \n",
      "                                                                                                  \n",
      " mixed3 (Concatenate)           (None, 12, 12, 768)  0           ['activation_26[0][0]',          \n",
      "                                                                  'activation_29[0][0]',          \n",
      "                                                                  'max_pooling2d_5[0][0]']        \n",
      "                                                                                                  \n",
      " conv2d_37 (Conv2D)             (None, 12, 12, 128)  98304       ['mixed3[0][0]']                 \n",
      "                                                                                                  \n",
      " batch_normalization_34 (BatchN  (None, 12, 12, 128)  384        ['conv2d_37[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " activation_34 (Activation)     (None, 12, 12, 128)  0           ['batch_normalization_34[0][0]'] \n",
      "                                                                                                  \n",
      " conv2d_38 (Conv2D)             (None, 12, 12, 128)  114688      ['activation_34[0][0]']          \n",
      "                                                                                                  \n",
      " batch_normalization_35 (BatchN  (None, 12, 12, 128)  384        ['conv2d_38[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " activation_35 (Activation)     (None, 12, 12, 128)  0           ['batch_normalization_35[0][0]'] \n",
      "                                                                                                  \n",
      " conv2d_34 (Conv2D)             (None, 12, 12, 128)  98304       ['mixed3[0][0]']                 \n",
      "                                                                                                  \n",
      " conv2d_39 (Conv2D)             (None, 12, 12, 128)  114688      ['activation_35[0][0]']          \n",
      "                                                                                                  \n",
      " batch_normalization_31 (BatchN  (None, 12, 12, 128)  384        ['conv2d_34[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " batch_normalization_36 (BatchN  (None, 12, 12, 128)  384        ['conv2d_39[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " activation_31 (Activation)     (None, 12, 12, 128)  0           ['batch_normalization_31[0][0]'] \n",
      "                                                                                                  \n",
      " activation_36 (Activation)     (None, 12, 12, 128)  0           ['batch_normalization_36[0][0]'] \n",
      "                                                                                                  \n",
      " conv2d_35 (Conv2D)             (None, 12, 12, 128)  114688      ['activation_31[0][0]']          \n",
      "                                                                                                  \n",
      " conv2d_40 (Conv2D)             (None, 12, 12, 128)  114688      ['activation_36[0][0]']          \n",
      "                                                                                                  \n",
      " batch_normalization_32 (BatchN  (None, 12, 12, 128)  384        ['conv2d_35[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " batch_normalization_37 (BatchN  (None, 12, 12, 128)  384        ['conv2d_40[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " activation_32 (Activation)     (None, 12, 12, 128)  0           ['batch_normalization_32[0][0]'] \n",
      "                                                                                                  \n",
      " activation_37 (Activation)     (None, 12, 12, 128)  0           ['batch_normalization_37[0][0]'] \n",
      "                                                                                                  \n",
      " average_pooling2d_3 (AveragePo  (None, 12, 12, 768)  0          ['mixed3[0][0]']                 \n",
      " oling2D)                                                                                         \n",
      "                                                                                                  \n",
      " conv2d_33 (Conv2D)             (None, 12, 12, 192)  147456      ['mixed3[0][0]']                 \n",
      "                                                                                                  \n",
      " conv2d_36 (Conv2D)             (None, 12, 12, 192)  172032      ['activation_32[0][0]']          \n",
      "                                                                                                  \n",
      " conv2d_41 (Conv2D)             (None, 12, 12, 192)  172032      ['activation_37[0][0]']          \n",
      "                                                                                                  \n",
      " conv2d_42 (Conv2D)             (None, 12, 12, 192)  147456      ['average_pooling2d_3[0][0]']    \n",
      "                                                                                                  \n",
      " batch_normalization_30 (BatchN  (None, 12, 12, 192)  576        ['conv2d_33[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " batch_normalization_33 (BatchN  (None, 12, 12, 192)  576        ['conv2d_36[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " batch_normalization_38 (BatchN  (None, 12, 12, 192)  576        ['conv2d_41[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " batch_normalization_39 (BatchN  (None, 12, 12, 192)  576        ['conv2d_42[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " activation_30 (Activation)     (None, 12, 12, 192)  0           ['batch_normalization_30[0][0]'] \n",
      "                                                                                                  \n",
      " activation_33 (Activation)     (None, 12, 12, 192)  0           ['batch_normalization_33[0][0]'] \n",
      "                                                                                                  \n",
      " activation_38 (Activation)     (None, 12, 12, 192)  0           ['batch_normalization_38[0][0]'] \n",
      "                                                                                                  \n",
      " activation_39 (Activation)     (None, 12, 12, 192)  0           ['batch_normalization_39[0][0]'] \n",
      "                                                                                                  \n",
      " mixed4 (Concatenate)           (None, 12, 12, 768)  0           ['activation_30[0][0]',          \n",
      "                                                                  'activation_33[0][0]',          \n",
      "                                                                  'activation_38[0][0]',          \n",
      "                                                                  'activation_39[0][0]']          \n",
      "                                                                                                  \n",
      " conv2d_47 (Conv2D)             (None, 12, 12, 160)  122880      ['mixed4[0][0]']                 \n",
      "                                                                                                  \n",
      " batch_normalization_44 (BatchN  (None, 12, 12, 160)  480        ['conv2d_47[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " activation_44 (Activation)     (None, 12, 12, 160)  0           ['batch_normalization_44[0][0]'] \n",
      "                                                                                                  \n",
      " conv2d_48 (Conv2D)             (None, 12, 12, 160)  179200      ['activation_44[0][0]']          \n",
      "                                                                                                  \n",
      " batch_normalization_45 (BatchN  (None, 12, 12, 160)  480        ['conv2d_48[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " activation_45 (Activation)     (None, 12, 12, 160)  0           ['batch_normalization_45[0][0]'] \n",
      "                                                                                                  \n",
      " conv2d_44 (Conv2D)             (None, 12, 12, 160)  122880      ['mixed4[0][0]']                 \n",
      "                                                                                                  \n",
      " conv2d_49 (Conv2D)             (None, 12, 12, 160)  179200      ['activation_45[0][0]']          \n",
      "                                                                                                  \n",
      " batch_normalization_41 (BatchN  (None, 12, 12, 160)  480        ['conv2d_44[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " batch_normalization_46 (BatchN  (None, 12, 12, 160)  480        ['conv2d_49[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " activation_41 (Activation)     (None, 12, 12, 160)  0           ['batch_normalization_41[0][0]'] \n",
      "                                                                                                  \n",
      " activation_46 (Activation)     (None, 12, 12, 160)  0           ['batch_normalization_46[0][0]'] \n",
      "                                                                                                  \n",
      " conv2d_45 (Conv2D)             (None, 12, 12, 160)  179200      ['activation_41[0][0]']          \n",
      "                                                                                                  \n",
      " conv2d_50 (Conv2D)             (None, 12, 12, 160)  179200      ['activation_46[0][0]']          \n",
      "                                                                                                  \n",
      " batch_normalization_42 (BatchN  (None, 12, 12, 160)  480        ['conv2d_45[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " batch_normalization_47 (BatchN  (None, 12, 12, 160)  480        ['conv2d_50[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " activation_42 (Activation)     (None, 12, 12, 160)  0           ['batch_normalization_42[0][0]'] \n",
      "                                                                                                  \n",
      " activation_47 (Activation)     (None, 12, 12, 160)  0           ['batch_normalization_47[0][0]'] \n",
      "                                                                                                  \n",
      " average_pooling2d_4 (AveragePo  (None, 12, 12, 768)  0          ['mixed4[0][0]']                 \n",
      " oling2D)                                                                                         \n",
      "                                                                                                  \n",
      " conv2d_43 (Conv2D)             (None, 12, 12, 192)  147456      ['mixed4[0][0]']                 \n",
      "                                                                                                  \n",
      " conv2d_46 (Conv2D)             (None, 12, 12, 192)  215040      ['activation_42[0][0]']          \n",
      "                                                                                                  \n",
      " conv2d_51 (Conv2D)             (None, 12, 12, 192)  215040      ['activation_47[0][0]']          \n",
      "                                                                                                  \n",
      " conv2d_52 (Conv2D)             (None, 12, 12, 192)  147456      ['average_pooling2d_4[0][0]']    \n",
      "                                                                                                  \n",
      " batch_normalization_40 (BatchN  (None, 12, 12, 192)  576        ['conv2d_43[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " batch_normalization_43 (BatchN  (None, 12, 12, 192)  576        ['conv2d_46[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " batch_normalization_48 (BatchN  (None, 12, 12, 192)  576        ['conv2d_51[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " batch_normalization_49 (BatchN  (None, 12, 12, 192)  576        ['conv2d_52[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " activation_40 (Activation)     (None, 12, 12, 192)  0           ['batch_normalization_40[0][0]'] \n",
      "                                                                                                  \n",
      " activation_43 (Activation)     (None, 12, 12, 192)  0           ['batch_normalization_43[0][0]'] \n",
      "                                                                                                  \n",
      " activation_48 (Activation)     (None, 12, 12, 192)  0           ['batch_normalization_48[0][0]'] \n",
      "                                                                                                  \n",
      " activation_49 (Activation)     (None, 12, 12, 192)  0           ['batch_normalization_49[0][0]'] \n",
      "                                                                                                  \n",
      " mixed5 (Concatenate)           (None, 12, 12, 768)  0           ['activation_40[0][0]',          \n",
      "                                                                  'activation_43[0][0]',          \n",
      "                                                                  'activation_48[0][0]',          \n",
      "                                                                  'activation_49[0][0]']          \n",
      "                                                                                                  \n",
      " conv2d_57 (Conv2D)             (None, 12, 12, 160)  122880      ['mixed5[0][0]']                 \n",
      "                                                                                                  \n",
      " batch_normalization_54 (BatchN  (None, 12, 12, 160)  480        ['conv2d_57[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " activation_54 (Activation)     (None, 12, 12, 160)  0           ['batch_normalization_54[0][0]'] \n",
      "                                                                                                  \n",
      " conv2d_58 (Conv2D)             (None, 12, 12, 160)  179200      ['activation_54[0][0]']          \n",
      "                                                                                                  \n",
      " batch_normalization_55 (BatchN  (None, 12, 12, 160)  480        ['conv2d_58[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " activation_55 (Activation)     (None, 12, 12, 160)  0           ['batch_normalization_55[0][0]'] \n",
      "                                                                                                  \n",
      " conv2d_54 (Conv2D)             (None, 12, 12, 160)  122880      ['mixed5[0][0]']                 \n",
      "                                                                                                  \n",
      " conv2d_59 (Conv2D)             (None, 12, 12, 160)  179200      ['activation_55[0][0]']          \n",
      "                                                                                                  \n",
      " batch_normalization_51 (BatchN  (None, 12, 12, 160)  480        ['conv2d_54[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " batch_normalization_56 (BatchN  (None, 12, 12, 160)  480        ['conv2d_59[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " activation_51 (Activation)     (None, 12, 12, 160)  0           ['batch_normalization_51[0][0]'] \n",
      "                                                                                                  \n",
      " activation_56 (Activation)     (None, 12, 12, 160)  0           ['batch_normalization_56[0][0]'] \n",
      "                                                                                                  \n",
      " conv2d_55 (Conv2D)             (None, 12, 12, 160)  179200      ['activation_51[0][0]']          \n",
      "                                                                                                  \n",
      " conv2d_60 (Conv2D)             (None, 12, 12, 160)  179200      ['activation_56[0][0]']          \n",
      "                                                                                                  \n",
      " batch_normalization_52 (BatchN  (None, 12, 12, 160)  480        ['conv2d_55[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " batch_normalization_57 (BatchN  (None, 12, 12, 160)  480        ['conv2d_60[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " activation_52 (Activation)     (None, 12, 12, 160)  0           ['batch_normalization_52[0][0]'] \n",
      "                                                                                                  \n",
      " activation_57 (Activation)     (None, 12, 12, 160)  0           ['batch_normalization_57[0][0]'] \n",
      "                                                                                                  \n",
      " average_pooling2d_5 (AveragePo  (None, 12, 12, 768)  0          ['mixed5[0][0]']                 \n",
      " oling2D)                                                                                         \n",
      "                                                                                                  \n",
      " conv2d_53 (Conv2D)             (None, 12, 12, 192)  147456      ['mixed5[0][0]']                 \n",
      "                                                                                                  \n",
      " conv2d_56 (Conv2D)             (None, 12, 12, 192)  215040      ['activation_52[0][0]']          \n",
      "                                                                                                  \n",
      " conv2d_61 (Conv2D)             (None, 12, 12, 192)  215040      ['activation_57[0][0]']          \n",
      "                                                                                                  \n",
      " conv2d_62 (Conv2D)             (None, 12, 12, 192)  147456      ['average_pooling2d_5[0][0]']    \n",
      "                                                                                                  \n",
      " batch_normalization_50 (BatchN  (None, 12, 12, 192)  576        ['conv2d_53[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " batch_normalization_53 (BatchN  (None, 12, 12, 192)  576        ['conv2d_56[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " batch_normalization_58 (BatchN  (None, 12, 12, 192)  576        ['conv2d_61[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " batch_normalization_59 (BatchN  (None, 12, 12, 192)  576        ['conv2d_62[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " activation_50 (Activation)     (None, 12, 12, 192)  0           ['batch_normalization_50[0][0]'] \n",
      "                                                                                                  \n",
      " activation_53 (Activation)     (None, 12, 12, 192)  0           ['batch_normalization_53[0][0]'] \n",
      "                                                                                                  \n",
      " activation_58 (Activation)     (None, 12, 12, 192)  0           ['batch_normalization_58[0][0]'] \n",
      "                                                                                                  \n",
      " activation_59 (Activation)     (None, 12, 12, 192)  0           ['batch_normalization_59[0][0]'] \n",
      "                                                                                                  \n",
      " mixed6 (Concatenate)           (None, 12, 12, 768)  0           ['activation_50[0][0]',          \n",
      "                                                                  'activation_53[0][0]',          \n",
      "                                                                  'activation_58[0][0]',          \n",
      "                                                                  'activation_59[0][0]']          \n",
      "                                                                                                  \n",
      " conv2d_67 (Conv2D)             (None, 12, 12, 192)  147456      ['mixed6[0][0]']                 \n",
      "                                                                                                  \n",
      " batch_normalization_64 (BatchN  (None, 12, 12, 192)  576        ['conv2d_67[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " activation_64 (Activation)     (None, 12, 12, 192)  0           ['batch_normalization_64[0][0]'] \n",
      "                                                                                                  \n",
      " conv2d_68 (Conv2D)             (None, 12, 12, 192)  258048      ['activation_64[0][0]']          \n",
      "                                                                                                  \n",
      " batch_normalization_65 (BatchN  (None, 12, 12, 192)  576        ['conv2d_68[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " activation_65 (Activation)     (None, 12, 12, 192)  0           ['batch_normalization_65[0][0]'] \n",
      "                                                                                                  \n",
      " conv2d_64 (Conv2D)             (None, 12, 12, 192)  147456      ['mixed6[0][0]']                 \n",
      "                                                                                                  \n",
      " conv2d_69 (Conv2D)             (None, 12, 12, 192)  258048      ['activation_65[0][0]']          \n",
      "                                                                                                  \n",
      " batch_normalization_61 (BatchN  (None, 12, 12, 192)  576        ['conv2d_64[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " batch_normalization_66 (BatchN  (None, 12, 12, 192)  576        ['conv2d_69[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " activation_61 (Activation)     (None, 12, 12, 192)  0           ['batch_normalization_61[0][0]'] \n",
      "                                                                                                  \n",
      " activation_66 (Activation)     (None, 12, 12, 192)  0           ['batch_normalization_66[0][0]'] \n",
      "                                                                                                  \n",
      " conv2d_65 (Conv2D)             (None, 12, 12, 192)  258048      ['activation_61[0][0]']          \n",
      "                                                                                                  \n",
      " conv2d_70 (Conv2D)             (None, 12, 12, 192)  258048      ['activation_66[0][0]']          \n",
      "                                                                                                  \n",
      " batch_normalization_62 (BatchN  (None, 12, 12, 192)  576        ['conv2d_65[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " batch_normalization_67 (BatchN  (None, 12, 12, 192)  576        ['conv2d_70[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " activation_62 (Activation)     (None, 12, 12, 192)  0           ['batch_normalization_62[0][0]'] \n",
      "                                                                                                  \n",
      " activation_67 (Activation)     (None, 12, 12, 192)  0           ['batch_normalization_67[0][0]'] \n",
      "                                                                                                  \n",
      " average_pooling2d_6 (AveragePo  (None, 12, 12, 768)  0          ['mixed6[0][0]']                 \n",
      " oling2D)                                                                                         \n",
      "                                                                                                  \n",
      " conv2d_63 (Conv2D)             (None, 12, 12, 192)  147456      ['mixed6[0][0]']                 \n",
      "                                                                                                  \n",
      " conv2d_66 (Conv2D)             (None, 12, 12, 192)  258048      ['activation_62[0][0]']          \n",
      "                                                                                                  \n",
      " conv2d_71 (Conv2D)             (None, 12, 12, 192)  258048      ['activation_67[0][0]']          \n",
      "                                                                                                  \n",
      " conv2d_72 (Conv2D)             (None, 12, 12, 192)  147456      ['average_pooling2d_6[0][0]']    \n",
      "                                                                                                  \n",
      " batch_normalization_60 (BatchN  (None, 12, 12, 192)  576        ['conv2d_63[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " batch_normalization_63 (BatchN  (None, 12, 12, 192)  576        ['conv2d_66[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " batch_normalization_68 (BatchN  (None, 12, 12, 192)  576        ['conv2d_71[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " batch_normalization_69 (BatchN  (None, 12, 12, 192)  576        ['conv2d_72[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " activation_60 (Activation)     (None, 12, 12, 192)  0           ['batch_normalization_60[0][0]'] \n",
      "                                                                                                  \n",
      " activation_63 (Activation)     (None, 12, 12, 192)  0           ['batch_normalization_63[0][0]'] \n",
      "                                                                                                  \n",
      " activation_68 (Activation)     (None, 12, 12, 192)  0           ['batch_normalization_68[0][0]'] \n",
      "                                                                                                  \n",
      " activation_69 (Activation)     (None, 12, 12, 192)  0           ['batch_normalization_69[0][0]'] \n",
      "                                                                                                  \n",
      " mixed7 (Concatenate)           (None, 12, 12, 768)  0           ['activation_60[0][0]',          \n",
      "                                                                  'activation_63[0][0]',          \n",
      "                                                                  'activation_68[0][0]',          \n",
      "                                                                  'activation_69[0][0]']          \n",
      "                                                                                                  \n",
      " conv2d_75 (Conv2D)             (None, 12, 12, 192)  147456      ['mixed7[0][0]']                 \n",
      "                                                                                                  \n",
      " batch_normalization_72 (BatchN  (None, 12, 12, 192)  576        ['conv2d_75[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " activation_72 (Activation)     (None, 12, 12, 192)  0           ['batch_normalization_72[0][0]'] \n",
      "                                                                                                  \n",
      " conv2d_76 (Conv2D)             (None, 12, 12, 192)  258048      ['activation_72[0][0]']          \n",
      "                                                                                                  \n",
      " batch_normalization_73 (BatchN  (None, 12, 12, 192)  576        ['conv2d_76[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " activation_73 (Activation)     (None, 12, 12, 192)  0           ['batch_normalization_73[0][0]'] \n",
      "                                                                                                  \n",
      " conv2d_73 (Conv2D)             (None, 12, 12, 192)  147456      ['mixed7[0][0]']                 \n",
      "                                                                                                  \n",
      " conv2d_77 (Conv2D)             (None, 12, 12, 192)  258048      ['activation_73[0][0]']          \n",
      "                                                                                                  \n",
      " batch_normalization_70 (BatchN  (None, 12, 12, 192)  576        ['conv2d_73[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " batch_normalization_74 (BatchN  (None, 12, 12, 192)  576        ['conv2d_77[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " activation_70 (Activation)     (None, 12, 12, 192)  0           ['batch_normalization_70[0][0]'] \n",
      "                                                                                                  \n",
      " activation_74 (Activation)     (None, 12, 12, 192)  0           ['batch_normalization_74[0][0]'] \n",
      "                                                                                                  \n",
      " conv2d_74 (Conv2D)             (None, 5, 5, 320)    552960      ['activation_70[0][0]']          \n",
      "                                                                                                  \n",
      " conv2d_78 (Conv2D)             (None, 5, 5, 192)    331776      ['activation_74[0][0]']          \n",
      "                                                                                                  \n",
      " batch_normalization_71 (BatchN  (None, 5, 5, 320)   960         ['conv2d_74[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " batch_normalization_75 (BatchN  (None, 5, 5, 192)   576         ['conv2d_78[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " activation_71 (Activation)     (None, 5, 5, 320)    0           ['batch_normalization_71[0][0]'] \n",
      "                                                                                                  \n",
      " activation_75 (Activation)     (None, 5, 5, 192)    0           ['batch_normalization_75[0][0]'] \n",
      "                                                                                                  \n",
      " max_pooling2d_6 (MaxPooling2D)  (None, 5, 5, 768)   0           ['mixed7[0][0]']                 \n",
      "                                                                                                  \n",
      " mixed8 (Concatenate)           (None, 5, 5, 1280)   0           ['activation_71[0][0]',          \n",
      "                                                                  'activation_75[0][0]',          \n",
      "                                                                  'max_pooling2d_6[0][0]']        \n",
      "                                                                                                  \n",
      " conv2d_83 (Conv2D)             (None, 5, 5, 448)    573440      ['mixed8[0][0]']                 \n",
      "                                                                                                  \n",
      " batch_normalization_80 (BatchN  (None, 5, 5, 448)   1344        ['conv2d_83[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " activation_80 (Activation)     (None, 5, 5, 448)    0           ['batch_normalization_80[0][0]'] \n",
      "                                                                                                  \n",
      " conv2d_80 (Conv2D)             (None, 5, 5, 384)    491520      ['mixed8[0][0]']                 \n",
      "                                                                                                  \n",
      " conv2d_84 (Conv2D)             (None, 5, 5, 384)    1548288     ['activation_80[0][0]']          \n",
      "                                                                                                  \n",
      " batch_normalization_77 (BatchN  (None, 5, 5, 384)   1152        ['conv2d_80[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " batch_normalization_81 (BatchN  (None, 5, 5, 384)   1152        ['conv2d_84[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " activation_77 (Activation)     (None, 5, 5, 384)    0           ['batch_normalization_77[0][0]'] \n",
      "                                                                                                  \n",
      " activation_81 (Activation)     (None, 5, 5, 384)    0           ['batch_normalization_81[0][0]'] \n",
      "                                                                                                  \n",
      " conv2d_81 (Conv2D)             (None, 5, 5, 384)    442368      ['activation_77[0][0]']          \n",
      "                                                                                                  \n",
      " conv2d_82 (Conv2D)             (None, 5, 5, 384)    442368      ['activation_77[0][0]']          \n",
      "                                                                                                  \n",
      " conv2d_85 (Conv2D)             (None, 5, 5, 384)    442368      ['activation_81[0][0]']          \n",
      "                                                                                                  \n",
      " conv2d_86 (Conv2D)             (None, 5, 5, 384)    442368      ['activation_81[0][0]']          \n",
      "                                                                                                  \n",
      " average_pooling2d_7 (AveragePo  (None, 5, 5, 1280)  0           ['mixed8[0][0]']                 \n",
      " oling2D)                                                                                         \n",
      "                                                                                                  \n",
      " conv2d_79 (Conv2D)             (None, 5, 5, 320)    409600      ['mixed8[0][0]']                 \n",
      "                                                                                                  \n",
      " batch_normalization_78 (BatchN  (None, 5, 5, 384)   1152        ['conv2d_81[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " batch_normalization_79 (BatchN  (None, 5, 5, 384)   1152        ['conv2d_82[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " batch_normalization_82 (BatchN  (None, 5, 5, 384)   1152        ['conv2d_85[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " batch_normalization_83 (BatchN  (None, 5, 5, 384)   1152        ['conv2d_86[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " conv2d_87 (Conv2D)             (None, 5, 5, 192)    245760      ['average_pooling2d_7[0][0]']    \n",
      "                                                                                                  \n",
      " batch_normalization_76 (BatchN  (None, 5, 5, 320)   960         ['conv2d_79[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " activation_78 (Activation)     (None, 5, 5, 384)    0           ['batch_normalization_78[0][0]'] \n",
      "                                                                                                  \n",
      " activation_79 (Activation)     (None, 5, 5, 384)    0           ['batch_normalization_79[0][0]'] \n",
      "                                                                                                  \n",
      " activation_82 (Activation)     (None, 5, 5, 384)    0           ['batch_normalization_82[0][0]'] \n",
      "                                                                                                  \n",
      " activation_83 (Activation)     (None, 5, 5, 384)    0           ['batch_normalization_83[0][0]'] \n",
      "                                                                                                  \n",
      " batch_normalization_84 (BatchN  (None, 5, 5, 192)   576         ['conv2d_87[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " activation_76 (Activation)     (None, 5, 5, 320)    0           ['batch_normalization_76[0][0]'] \n",
      "                                                                                                  \n",
      " mixed9_0 (Concatenate)         (None, 5, 5, 768)    0           ['activation_78[0][0]',          \n",
      "                                                                  'activation_79[0][0]']          \n",
      "                                                                                                  \n",
      " concatenate (Concatenate)      (None, 5, 5, 768)    0           ['activation_82[0][0]',          \n",
      "                                                                  'activation_83[0][0]']          \n",
      "                                                                                                  \n",
      " activation_84 (Activation)     (None, 5, 5, 192)    0           ['batch_normalization_84[0][0]'] \n",
      "                                                                                                  \n",
      " mixed9 (Concatenate)           (None, 5, 5, 2048)   0           ['activation_76[0][0]',          \n",
      "                                                                  'mixed9_0[0][0]',               \n",
      "                                                                  'concatenate[0][0]',            \n",
      "                                                                  'activation_84[0][0]']          \n",
      "                                                                                                  \n",
      " conv2d_92 (Conv2D)             (None, 5, 5, 448)    917504      ['mixed9[0][0]']                 \n",
      "                                                                                                  \n",
      " batch_normalization_89 (BatchN  (None, 5, 5, 448)   1344        ['conv2d_92[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " activation_89 (Activation)     (None, 5, 5, 448)    0           ['batch_normalization_89[0][0]'] \n",
      "                                                                                                  \n",
      " conv2d_89 (Conv2D)             (None, 5, 5, 384)    786432      ['mixed9[0][0]']                 \n",
      "                                                                                                  \n",
      " conv2d_93 (Conv2D)             (None, 5, 5, 384)    1548288     ['activation_89[0][0]']          \n",
      "                                                                                                  \n",
      " batch_normalization_86 (BatchN  (None, 5, 5, 384)   1152        ['conv2d_89[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " batch_normalization_90 (BatchN  (None, 5, 5, 384)   1152        ['conv2d_93[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " activation_86 (Activation)     (None, 5, 5, 384)    0           ['batch_normalization_86[0][0]'] \n",
      "                                                                                                  \n",
      " activation_90 (Activation)     (None, 5, 5, 384)    0           ['batch_normalization_90[0][0]'] \n",
      "                                                                                                  \n",
      " conv2d_90 (Conv2D)             (None, 5, 5, 384)    442368      ['activation_86[0][0]']          \n",
      "                                                                                                  \n",
      " conv2d_91 (Conv2D)             (None, 5, 5, 384)    442368      ['activation_86[0][0]']          \n",
      "                                                                                                  \n",
      " conv2d_94 (Conv2D)             (None, 5, 5, 384)    442368      ['activation_90[0][0]']          \n",
      "                                                                                                  \n",
      " conv2d_95 (Conv2D)             (None, 5, 5, 384)    442368      ['activation_90[0][0]']          \n",
      "                                                                                                  \n",
      " average_pooling2d_8 (AveragePo  (None, 5, 5, 2048)  0           ['mixed9[0][0]']                 \n",
      " oling2D)                                                                                         \n",
      "                                                                                                  \n",
      " conv2d_88 (Conv2D)             (None, 5, 5, 320)    655360      ['mixed9[0][0]']                 \n",
      "                                                                                                  \n",
      " batch_normalization_87 (BatchN  (None, 5, 5, 384)   1152        ['conv2d_90[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " batch_normalization_88 (BatchN  (None, 5, 5, 384)   1152        ['conv2d_91[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " batch_normalization_91 (BatchN  (None, 5, 5, 384)   1152        ['conv2d_94[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " batch_normalization_92 (BatchN  (None, 5, 5, 384)   1152        ['conv2d_95[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " conv2d_96 (Conv2D)             (None, 5, 5, 192)    393216      ['average_pooling2d_8[0][0]']    \n",
      "                                                                                                  \n",
      " batch_normalization_85 (BatchN  (None, 5, 5, 320)   960         ['conv2d_88[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " activation_87 (Activation)     (None, 5, 5, 384)    0           ['batch_normalization_87[0][0]'] \n",
      "                                                                                                  \n",
      " activation_88 (Activation)     (None, 5, 5, 384)    0           ['batch_normalization_88[0][0]'] \n",
      "                                                                                                  \n",
      " activation_91 (Activation)     (None, 5, 5, 384)    0           ['batch_normalization_91[0][0]'] \n",
      "                                                                                                  \n",
      " activation_92 (Activation)     (None, 5, 5, 384)    0           ['batch_normalization_92[0][0]'] \n",
      "                                                                                                  \n",
      " batch_normalization_93 (BatchN  (None, 5, 5, 192)   576         ['conv2d_96[0][0]']              \n",
      " ormalization)                                                                                    \n",
      "                                                                                                  \n",
      " activation_85 (Activation)     (None, 5, 5, 320)    0           ['batch_normalization_85[0][0]'] \n",
      "                                                                                                  \n",
      " mixed9_1 (Concatenate)         (None, 5, 5, 768)    0           ['activation_87[0][0]',          \n",
      "                                                                  'activation_88[0][0]']          \n",
      "                                                                                                  \n",
      " concatenate_1 (Concatenate)    (None, 5, 5, 768)    0           ['activation_91[0][0]',          \n",
      "                                                                  'activation_92[0][0]']          \n",
      "                                                                                                  \n",
      " activation_93 (Activation)     (None, 5, 5, 192)    0           ['batch_normalization_93[0][0]'] \n",
      "                                                                                                  \n",
      " mixed10 (Concatenate)          (None, 5, 5, 2048)   0           ['activation_85[0][0]',          \n",
      "                                                                  'mixed9_1[0][0]',               \n",
      "                                                                  'concatenate_1[0][0]',          \n",
      "                                                                  'activation_93[0][0]']          \n",
      "                                                                                                  \n",
      " global_average_pooling2d (Glob  (None, 2048)        0           ['mixed10[0][0]']                \n",
      " alAveragePooling2D)                                                                              \n",
      "                                                                                                  \n",
      " dense_3 (Dense)                (None, 512)          1049088     ['global_average_pooling2d[0][0]'\n",
      "                                                                 ]                                \n",
      "                                                                                                  \n",
      " dense_4 (Dense)                (None, 6)            3078        ['dense_3[0][0]']                \n",
      "                                                                                                  \n",
      "==================================================================================================\n",
      "Total params: 22,854,950\n",
      "Trainable params: 22,820,518\n",
      "Non-trainable params: 34,432\n",
      "__________________________________________________________________________________________________\n"
     ]
    },
    {
     "ename": "NameError",
     "evalue": "name 'x_train' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m~\\AppData\\Local\\Temp/ipykernel_6844/2125127394.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m     32\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     33\u001b[0m \u001b[1;31m# train the model\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 34\u001b[1;33m history = model.fit(x_train, y_train,\n\u001b[0m\u001b[0;32m     35\u001b[0m                     \u001b[0mbatch_size\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mbatch_size\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     36\u001b[0m                     \u001b[0mepochs\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mnum_epochs\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mNameError\u001b[0m: name 'x_train' is not defined"
     ]
    }
   ],
   "source": [
    "from keras.applications.inception_v3 import InceptionV3\n",
    "from keras.models import Model\n",
    "from keras.layers import Dense, GlobalAveragePooling2D\n",
    "\n",
    "# parameters for architecture\n",
    "input_shape = (224, 224, 3)\n",
    "num_classes = 6\n",
    "conv_size = 32\n",
    "\n",
    "# parameters for training\n",
    "batch_size = 32\n",
    "num_epochs = 20\n",
    "\n",
    "# load InceptionV3 from Keras\n",
    "InceptionV3_model = InceptionV3(include_top=False, input_shape=input_shape)\n",
    "\n",
    "# add custom Layers\n",
    "x = InceptionV3_model.output\n",
    "x = GlobalAveragePooling2D()(x)\n",
    "x = Dense(512, activation=\"relu\")(x)\n",
    "Custom_Output = Dense(num_classes, activation='softmax')(x)\n",
    "\n",
    "# define the input and output of the model\n",
    "model = Model(inputs = InceptionV3_model.input, outputs = Custom_Output)\n",
    "        \n",
    "# compile the model\n",
    "model.compile(loss='categorical_crossentropy',\n",
    "                    optimizer='adam',\n",
    "                    metrics=['accuracy'])\n",
    "\n",
    "model.summary()\n",
    "\n",
    "# train the model \n",
    "history = model.fit(x_train, y_train,\n",
    "                    batch_size=batch_size,\n",
    "                    epochs=num_epochs,\n",
    "                    verbose=1,\n",
    "                    validation_split=0.1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "447fd73e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/mobilenet/mobilenet_1_0_224_tf_no_top.h5\n",
      "17227776/17225924 [==============================] - 2s 0us/step\n",
      "17235968/17225924 [==============================] - 2s 0us/step\n",
      "Model: \"model_1\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " input_2 (InputLayer)        [(None, 224, 224, 3)]     0         \n",
      "                                                                 \n",
      " conv1 (Conv2D)              (None, 112, 112, 32)      864       \n",
      "                                                                 \n",
      " conv1_bn (BatchNormalizatio  (None, 112, 112, 32)     128       \n",
      " n)                                                              \n",
      "                                                                 \n",
      " conv1_relu (ReLU)           (None, 112, 112, 32)      0         \n",
      "                                                                 \n",
      " conv_dw_1 (DepthwiseConv2D)  (None, 112, 112, 32)     288       \n",
      "                                                                 \n",
      " conv_dw_1_bn (BatchNormaliz  (None, 112, 112, 32)     128       \n",
      " ation)                                                          \n",
      "                                                                 \n",
      " conv_dw_1_relu (ReLU)       (None, 112, 112, 32)      0         \n",
      "                                                                 \n",
      " conv_pw_1 (Conv2D)          (None, 112, 112, 64)      2048      \n",
      "                                                                 \n",
      " conv_pw_1_bn (BatchNormaliz  (None, 112, 112, 64)     256       \n",
      " ation)                                                          \n",
      "                                                                 \n",
      " conv_pw_1_relu (ReLU)       (None, 112, 112, 64)      0         \n",
      "                                                                 \n",
      " conv_pad_2 (ZeroPadding2D)  (None, 113, 113, 64)      0         \n",
      "                                                                 \n",
      " conv_dw_2 (DepthwiseConv2D)  (None, 56, 56, 64)       576       \n",
      "                                                                 \n",
      " conv_dw_2_bn (BatchNormaliz  (None, 56, 56, 64)       256       \n",
      " ation)                                                          \n",
      "                                                                 \n",
      " conv_dw_2_relu (ReLU)       (None, 56, 56, 64)        0         \n",
      "                                                                 \n",
      " conv_pw_2 (Conv2D)          (None, 56, 56, 128)       8192      \n",
      "                                                                 \n",
      " conv_pw_2_bn (BatchNormaliz  (None, 56, 56, 128)      512       \n",
      " ation)                                                          \n",
      "                                                                 \n",
      " conv_pw_2_relu (ReLU)       (None, 56, 56, 128)       0         \n",
      "                                                                 \n",
      " conv_dw_3 (DepthwiseConv2D)  (None, 56, 56, 128)      1152      \n",
      "                                                                 \n",
      " conv_dw_3_bn (BatchNormaliz  (None, 56, 56, 128)      512       \n",
      " ation)                                                          \n",
      "                                                                 \n",
      " conv_dw_3_relu (ReLU)       (None, 56, 56, 128)       0         \n",
      "                                                                 \n",
      " conv_pw_3 (Conv2D)          (None, 56, 56, 128)       16384     \n",
      "                                                                 \n",
      " conv_pw_3_bn (BatchNormaliz  (None, 56, 56, 128)      512       \n",
      " ation)                                                          \n",
      "                                                                 \n",
      " conv_pw_3_relu (ReLU)       (None, 56, 56, 128)       0         \n",
      "                                                                 \n",
      " conv_pad_4 (ZeroPadding2D)  (None, 57, 57, 128)       0         \n",
      "                                                                 \n",
      " conv_dw_4 (DepthwiseConv2D)  (None, 28, 28, 128)      1152      \n",
      "                                                                 \n",
      " conv_dw_4_bn (BatchNormaliz  (None, 28, 28, 128)      512       \n",
      " ation)                                                          \n",
      "                                                                 \n",
      " conv_dw_4_relu (ReLU)       (None, 28, 28, 128)       0         \n",
      "                                                                 \n",
      " conv_pw_4 (Conv2D)          (None, 28, 28, 256)       32768     \n",
      "                                                                 \n",
      " conv_pw_4_bn (BatchNormaliz  (None, 28, 28, 256)      1024      \n",
      " ation)                                                          \n",
      "                                                                 \n",
      " conv_pw_4_relu (ReLU)       (None, 28, 28, 256)       0         \n",
      "                                                                 \n",
      " conv_dw_5 (DepthwiseConv2D)  (None, 28, 28, 256)      2304      \n",
      "                                                                 \n",
      " conv_dw_5_bn (BatchNormaliz  (None, 28, 28, 256)      1024      \n",
      " ation)                                                          \n",
      "                                                                 \n",
      " conv_dw_5_relu (ReLU)       (None, 28, 28, 256)       0         \n",
      "                                                                 \n",
      " conv_pw_5 (Conv2D)          (None, 28, 28, 256)       65536     \n",
      "                                                                 \n",
      " conv_pw_5_bn (BatchNormaliz  (None, 28, 28, 256)      1024      \n",
      " ation)                                                          \n",
      "                                                                 \n",
      " conv_pw_5_relu (ReLU)       (None, 28, 28, 256)       0         \n",
      "                                                                 \n",
      " conv_pad_6 (ZeroPadding2D)  (None, 29, 29, 256)       0         \n",
      "                                                                 \n",
      " conv_dw_6 (DepthwiseConv2D)  (None, 14, 14, 256)      2304      \n",
      "                                                                 \n",
      " conv_dw_6_bn (BatchNormaliz  (None, 14, 14, 256)      1024      \n",
      " ation)                                                          \n",
      "                                                                 \n",
      " conv_dw_6_relu (ReLU)       (None, 14, 14, 256)       0         \n",
      "                                                                 \n",
      " conv_pw_6 (Conv2D)          (None, 14, 14, 512)       131072    \n",
      "                                                                 \n",
      " conv_pw_6_bn (BatchNormaliz  (None, 14, 14, 512)      2048      \n",
      " ation)                                                          \n",
      "                                                                 \n",
      " conv_pw_6_relu (ReLU)       (None, 14, 14, 512)       0         \n",
      "                                                                 \n",
      " conv_dw_7 (DepthwiseConv2D)  (None, 14, 14, 512)      4608      \n",
      "                                                                 \n",
      " conv_dw_7_bn (BatchNormaliz  (None, 14, 14, 512)      2048      \n",
      " ation)                                                          \n",
      "                                                                 \n",
      " conv_dw_7_relu (ReLU)       (None, 14, 14, 512)       0         \n",
      "                                                                 \n",
      " conv_pw_7 (Conv2D)          (None, 14, 14, 512)       262144    \n",
      "                                                                 \n",
      " conv_pw_7_bn (BatchNormaliz  (None, 14, 14, 512)      2048      \n",
      " ation)                                                          \n",
      "                                                                 \n",
      " conv_pw_7_relu (ReLU)       (None, 14, 14, 512)       0         \n",
      "                                                                 \n",
      " conv_dw_8 (DepthwiseConv2D)  (None, 14, 14, 512)      4608      \n",
      "                                                                 \n",
      " conv_dw_8_bn (BatchNormaliz  (None, 14, 14, 512)      2048      \n",
      " ation)                                                          \n",
      "                                                                 \n",
      " conv_dw_8_relu (ReLU)       (None, 14, 14, 512)       0         \n",
      "                                                                 \n",
      " conv_pw_8 (Conv2D)          (None, 14, 14, 512)       262144    \n",
      "                                                                 \n",
      " conv_pw_8_bn (BatchNormaliz  (None, 14, 14, 512)      2048      \n",
      " ation)                                                          \n",
      "                                                                 \n",
      " conv_pw_8_relu (ReLU)       (None, 14, 14, 512)       0         \n",
      "                                                                 \n",
      " conv_dw_9 (DepthwiseConv2D)  (None, 14, 14, 512)      4608      \n",
      "                                                                 \n",
      " conv_dw_9_bn (BatchNormaliz  (None, 14, 14, 512)      2048      \n",
      " ation)                                                          \n",
      "                                                                 \n",
      " conv_dw_9_relu (ReLU)       (None, 14, 14, 512)       0         \n",
      "                                                                 \n",
      " conv_pw_9 (Conv2D)          (None, 14, 14, 512)       262144    \n",
      "                                                                 \n",
      " conv_pw_9_bn (BatchNormaliz  (None, 14, 14, 512)      2048      \n",
      " ation)                                                          \n",
      "                                                                 \n",
      " conv_pw_9_relu (ReLU)       (None, 14, 14, 512)       0         \n",
      "                                                                 \n",
      " conv_dw_10 (DepthwiseConv2D  (None, 14, 14, 512)      4608      \n",
      " )                                                               \n",
      "                                                                 \n",
      " conv_dw_10_bn (BatchNormali  (None, 14, 14, 512)      2048      \n",
      " zation)                                                         \n",
      "                                                                 \n",
      " conv_dw_10_relu (ReLU)      (None, 14, 14, 512)       0         \n",
      "                                                                 \n",
      " conv_pw_10 (Conv2D)         (None, 14, 14, 512)       262144    \n",
      "                                                                 \n",
      " conv_pw_10_bn (BatchNormali  (None, 14, 14, 512)      2048      \n",
      " zation)                                                         \n",
      "                                                                 \n",
      " conv_pw_10_relu (ReLU)      (None, 14, 14, 512)       0         \n",
      "                                                                 \n",
      " conv_dw_11 (DepthwiseConv2D  (None, 14, 14, 512)      4608      \n",
      " )                                                               \n",
      "                                                                 \n",
      " conv_dw_11_bn (BatchNormali  (None, 14, 14, 512)      2048      \n",
      " zation)                                                         \n",
      "                                                                 \n",
      " conv_dw_11_relu (ReLU)      (None, 14, 14, 512)       0         \n",
      "                                                                 \n",
      " conv_pw_11 (Conv2D)         (None, 14, 14, 512)       262144    \n",
      "                                                                 \n",
      " conv_pw_11_bn (BatchNormali  (None, 14, 14, 512)      2048      \n",
      " zation)                                                         \n",
      "                                                                 \n",
      " conv_pw_11_relu (ReLU)      (None, 14, 14, 512)       0         \n",
      "                                                                 \n",
      " conv_pad_12 (ZeroPadding2D)  (None, 15, 15, 512)      0         \n",
      "                                                                 \n",
      " conv_dw_12 (DepthwiseConv2D  (None, 7, 7, 512)        4608      \n",
      " )                                                               \n",
      "                                                                 \n",
      " conv_dw_12_bn (BatchNormali  (None, 7, 7, 512)        2048      \n",
      " zation)                                                         \n",
      "                                                                 \n",
      " conv_dw_12_relu (ReLU)      (None, 7, 7, 512)         0         \n",
      "                                                                 \n",
      " conv_pw_12 (Conv2D)         (None, 7, 7, 1024)        524288    \n",
      "                                                                 \n",
      " conv_pw_12_bn (BatchNormali  (None, 7, 7, 1024)       4096      \n",
      " zation)                                                         \n",
      "                                                                 \n",
      " conv_pw_12_relu (ReLU)      (None, 7, 7, 1024)        0         \n",
      "                                                                 \n",
      " conv_dw_13 (DepthwiseConv2D  (None, 7, 7, 1024)       9216      \n",
      " )                                                               \n",
      "                                                                 \n",
      " conv_dw_13_bn (BatchNormali  (None, 7, 7, 1024)       4096      \n",
      " zation)                                                         \n",
      "                                                                 \n",
      " conv_dw_13_relu (ReLU)      (None, 7, 7, 1024)        0         \n",
      "                                                                 \n",
      " conv_pw_13 (Conv2D)         (None, 7, 7, 1024)        1048576   \n",
      "                                                                 \n",
      " conv_pw_13_bn (BatchNormali  (None, 7, 7, 1024)       4096      \n",
      " zation)                                                         \n",
      "                                                                 \n",
      " conv_pw_13_relu (ReLU)      (None, 7, 7, 1024)        0         \n",
      "                                                                 \n",
      " global_average_pooling2d_1   (None, 1024)             0         \n",
      " (GlobalAveragePooling2D)                                        \n",
      "                                                                 \n",
      " dense_5 (Dense)             (None, 512)               524800    \n",
      "                                                                 \n",
      " dense_6 (Dense)             (None, 6)                 3078      \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 3,756,742\n",
      "Trainable params: 3,734,854\n",
      "Non-trainable params: 21,888\n",
      "_________________________________________________________________\n"
     ]
    },
    {
     "ename": "NameError",
     "evalue": "name 'x_train' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m~\\AppData\\Local\\Temp/ipykernel_6844/754799433.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m     32\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     33\u001b[0m \u001b[1;31m# train the model\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 34\u001b[1;33m history = model.fit(x_train, y_train,\n\u001b[0m\u001b[0;32m     35\u001b[0m                     \u001b[0mbatch_size\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mbatch_size\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     36\u001b[0m                     \u001b[0mepochs\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mnum_epochs\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mNameError\u001b[0m: name 'x_train' is not defined"
     ]
    }
   ],
   "source": [
    "from keras.applications.mobilenet import MobileNet\n",
    "from keras.models import Model\n",
    "from keras.layers import Dense, GlobalAveragePooling2D\n",
    "\n",
    "# parameters for architecture\n",
    "input_shape = (224, 224, 3)\n",
    "num_classes = 6\n",
    "conv_size = 32\n",
    "\n",
    "# parameters for training\n",
    "batch_size = 32\n",
    "num_epochs = 20\n",
    "\n",
    "# load MobileNet from Keras\n",
    "MobileNet_model = MobileNet(include_top=False, input_shape=input_shape)\n",
    "\n",
    "# add custom Layers\n",
    "x = MobileNet_model.output\n",
    "x = GlobalAveragePooling2D()(x)\n",
    "x = Dense(512, activation=\"relu\")(x)\n",
    "Custom_Output = Dense(num_classes, activation='softmax')(x)\n",
    "\n",
    "# define the input and output of the model\n",
    "model = Model(inputs = MobileNet_model.input, outputs = Custom_Output)\n",
    "        \n",
    "# compile the model\n",
    "model.compile(loss='categorical_crossentropy',\n",
    "                    optimizer='adam',\n",
    "                    metrics=['accuracy'])\n",
    "\n",
    "model.summary()\n",
    "\n",
    "# train the model \n",
    "history = model.fit(x_train, y_train,\n",
    "                    batch_size=batch_size,\n",
    "                    epochs=num_epochs,\n",
    "                    verbose=1,\n",
    "                    validation_split=0.1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0ef384cd",
   "metadata": {},
   "outputs": [],
   "source": [
    "# kerjain lagi kamis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "aee316e0",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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