train_cnn.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "e7428637",
   "metadata": {
    "id": "e7428637"
   },
   "source": [
    "## Подготовка данных"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c004b463",
   "metadata": {
    "id": "c004b463"
   },
   "outputs": [],
   "source": [
    "# Импортируем библиотеки\n",
    "import os\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import tensorflow as tf\n",
    "from tensorflow import keras\n",
    "from tensorflow.keras.layers import Dense\n",
    "from tensorflow.keras import utils\n",
    "import matplotlib.pyplot as plt\n",
    "from tensorflow.keras.models import Model\n",
    "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4174cfab",
   "metadata": {
    "id": "4174cfab"
   },
   "outputs": [],
   "source": [
    "batch_size=32 # Размер батча"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c545668c",
   "metadata": {
    "id": "c545668c"
   },
   "source": [
    "**Названия классов в наборах данных**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6a250d10",
   "metadata": {
    "id": "6a250d10"
   },
   "outputs": [],
   "source": [
    "class_names = ['No', 'edible', 'hallucinogenic', 'inedible', 'poisonous']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6c6c6041",
   "metadata": {
    "id": "6c6c6041"
   },
   "source": [
    "**Перевод фото в тензорные изображения**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7a7d5179",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "7a7d5179",
    "outputId": "cc0a9ea6-ebc7-4986-db8b-ec0845ac3d22"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 1579 images belonging to 5 classes.\n",
      "Found 394 images belonging to 5 classes.\n",
      "Found 204 images belonging to 5 classes.\n"
     ]
    }
   ],
   "source": [
    "path_to_folder = 'PATH' # Путь к папке\n",
    "batch_size = 20\n",
    "train_path = os.path.join(path_to_folder, 'Train')\n",
    "valid_path = os.path.join(path_to_folder, 'Valid')\n",
    "test_path = os.path.join(path_to_folder, 'Test')\n",
    "target_size = (224, 224) # Размер входного изображения\n",
    "\n",
    "# Формирование выборок для модели\n",
    "train_batches = ImageDataGenerator(\n",
    "    preprocessing_function=keras.applications.densenet.preprocess_input\n",
    ").flow_from_directory(\n",
    "    directory=train_path, target_size=target_size, classes=class_names, batch_size=batch_size)\n",
    "\n",
    "valid_batches = ImageDataGenerator(\n",
    "    preprocessing_function=keras.applications.densenet.preprocess_input\n",
    ").flow_from_directory(\n",
    "    directory=valid_path, target_size=target_size, classes=class_names, batch_size=batch_size)\n",
    "\n",
    "test_batches = ImageDataGenerator(\n",
    "    preprocessing_function=keras.applications.densenet.preprocess_input\n",
    ").flow_from_directory(\n",
    "    directory=test_path, target_size=target_size, classes=class_names, batch_size=batch_size,\n",
    "    shuffle=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "02081c4a",
   "metadata": {},
   "source": [
    "Данный распределены на тренировочную/валидационную/тестовую выборку в процентном соотношение 72/18/10. Каждая из выборок содержит по 5 классов"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2ad036b0",
   "metadata": {},
   "source": [
    "## Обучение модели"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d764fe6e",
   "metadata": {
    "id": "d764fe6e"
   },
   "source": [
    "**Загрузка модели**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2ad39088",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "2ad39088",
    "outputId": "d0a18f1e-a188-448c-826e-c09e770d9135"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/densenet/densenet201_weights_tf_dim_ordering_tf_kernels.h5\n",
      "82524592/82524592 [==============================] - 5s 0us/step\n"
     ]
    }
   ],
   "source": [
    "dense_net = keras.applications.DenseNet201()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4bea0403",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "4bea0403",
    "outputId": "3e34bd47-2de3-47b7-973e-a2715dca55d0"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"densenet201\"\n",
      "__________________________________________________________________________________________________\n",
      " Layer (type)                   Output Shape         Param #     Connected to                     \n",
      "==================================================================================================\n",
      " input_1 (InputLayer)           [(None, 224, 224, 3  0           []                               \n",
      "                                )]                                                                \n",
      "                                                                                                  \n",
      " zero_padding2d (ZeroPadding2D)  (None, 230, 230, 3)  0          ['input_1[0][0]']                \n",
      "                                                                                                  \n",
      " conv1/conv (Conv2D)            (None, 112, 112, 64  9408        ['zero_padding2d[0][0]']         \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " conv1/bn (BatchNormalization)  (None, 112, 112, 64  256         ['conv1/conv[0][0]']             \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " conv1/relu (Activation)        (None, 112, 112, 64  0           ['conv1/bn[0][0]']               \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " zero_padding2d_1 (ZeroPadding2  (None, 114, 114, 64  0          ['conv1/relu[0][0]']             \n",
      " D)                             )                                                                 \n",
      "                                                                                                  \n",
      " pool1 (MaxPooling2D)           (None, 56, 56, 64)   0           ['zero_padding2d_1[0][0]']       \n",
      "                                                                                                  \n",
      " conv2_block1_0_bn (BatchNormal  (None, 56, 56, 64)  256         ['pool1[0][0]']                  \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv2_block1_0_relu (Activatio  (None, 56, 56, 64)  0           ['conv2_block1_0_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv2_block1_1_conv (Conv2D)   (None, 56, 56, 128)  8192        ['conv2_block1_0_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv2_block1_1_bn (BatchNormal  (None, 56, 56, 128)  512        ['conv2_block1_1_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv2_block1_1_relu (Activatio  (None, 56, 56, 128)  0          ['conv2_block1_1_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv2_block1_2_conv (Conv2D)   (None, 56, 56, 32)   36864       ['conv2_block1_1_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv2_block1_concat (Concatena  (None, 56, 56, 96)  0           ['pool1[0][0]',                  \n",
      " te)                                                              'conv2_block1_2_conv[0][0]']    \n",
      "                                                                                                  \n",
      " conv2_block2_0_bn (BatchNormal  (None, 56, 56, 96)  384         ['conv2_block1_concat[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv2_block2_0_relu (Activatio  (None, 56, 56, 96)  0           ['conv2_block2_0_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv2_block2_1_conv (Conv2D)   (None, 56, 56, 128)  12288       ['conv2_block2_0_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv2_block2_1_bn (BatchNormal  (None, 56, 56, 128)  512        ['conv2_block2_1_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv2_block2_1_relu (Activatio  (None, 56, 56, 128)  0          ['conv2_block2_1_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv2_block2_2_conv (Conv2D)   (None, 56, 56, 32)   36864       ['conv2_block2_1_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv2_block2_concat (Concatena  (None, 56, 56, 128)  0          ['conv2_block1_concat[0][0]',    \n",
      " te)                                                              'conv2_block2_2_conv[0][0]']    \n",
      "                                                                                                  \n",
      " conv2_block3_0_bn (BatchNormal  (None, 56, 56, 128)  512        ['conv2_block2_concat[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv2_block3_0_relu (Activatio  (None, 56, 56, 128)  0          ['conv2_block3_0_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv2_block3_1_conv (Conv2D)   (None, 56, 56, 128)  16384       ['conv2_block3_0_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv2_block3_1_bn (BatchNormal  (None, 56, 56, 128)  512        ['conv2_block3_1_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv2_block3_1_relu (Activatio  (None, 56, 56, 128)  0          ['conv2_block3_1_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv2_block3_2_conv (Conv2D)   (None, 56, 56, 32)   36864       ['conv2_block3_1_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv2_block3_concat (Concatena  (None, 56, 56, 160)  0          ['conv2_block2_concat[0][0]',    \n",
      " te)                                                              'conv2_block3_2_conv[0][0]']    \n",
      "                                                                                                  \n",
      " conv2_block4_0_bn (BatchNormal  (None, 56, 56, 160)  640        ['conv2_block3_concat[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv2_block4_0_relu (Activatio  (None, 56, 56, 160)  0          ['conv2_block4_0_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv2_block4_1_conv (Conv2D)   (None, 56, 56, 128)  20480       ['conv2_block4_0_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv2_block4_1_bn (BatchNormal  (None, 56, 56, 128)  512        ['conv2_block4_1_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv2_block4_1_relu (Activatio  (None, 56, 56, 128)  0          ['conv2_block4_1_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv2_block4_2_conv (Conv2D)   (None, 56, 56, 32)   36864       ['conv2_block4_1_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv2_block4_concat (Concatena  (None, 56, 56, 192)  0          ['conv2_block3_concat[0][0]',    \n",
      " te)                                                              'conv2_block4_2_conv[0][0]']    \n",
      "                                                                                                  \n",
      " conv2_block5_0_bn (BatchNormal  (None, 56, 56, 192)  768        ['conv2_block4_concat[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv2_block5_0_relu (Activatio  (None, 56, 56, 192)  0          ['conv2_block5_0_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv2_block5_1_conv (Conv2D)   (None, 56, 56, 128)  24576       ['conv2_block5_0_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv2_block5_1_bn (BatchNormal  (None, 56, 56, 128)  512        ['conv2_block5_1_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv2_block5_1_relu (Activatio  (None, 56, 56, 128)  0          ['conv2_block5_1_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv2_block5_2_conv (Conv2D)   (None, 56, 56, 32)   36864       ['conv2_block5_1_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv2_block5_concat (Concatena  (None, 56, 56, 224)  0          ['conv2_block4_concat[0][0]',    \n",
      " te)                                                              'conv2_block5_2_conv[0][0]']    \n",
      "                                                                                                  \n",
      " conv2_block6_0_bn (BatchNormal  (None, 56, 56, 224)  896        ['conv2_block5_concat[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv2_block6_0_relu (Activatio  (None, 56, 56, 224)  0          ['conv2_block6_0_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv2_block6_1_conv (Conv2D)   (None, 56, 56, 128)  28672       ['conv2_block6_0_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv2_block6_1_bn (BatchNormal  (None, 56, 56, 128)  512        ['conv2_block6_1_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv2_block6_1_relu (Activatio  (None, 56, 56, 128)  0          ['conv2_block6_1_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv2_block6_2_conv (Conv2D)   (None, 56, 56, 32)   36864       ['conv2_block6_1_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv2_block6_concat (Concatena  (None, 56, 56, 256)  0          ['conv2_block5_concat[0][0]',    \n",
      " te)                                                              'conv2_block6_2_conv[0][0]']    \n",
      "                                                                                                  \n",
      " pool2_bn (BatchNormalization)  (None, 56, 56, 256)  1024        ['conv2_block6_concat[0][0]']    \n",
      "                                                                                                  \n",
      " pool2_relu (Activation)        (None, 56, 56, 256)  0           ['pool2_bn[0][0]']               \n",
      "                                                                                                  \n",
      " pool2_conv (Conv2D)            (None, 56, 56, 128)  32768       ['pool2_relu[0][0]']             \n",
      "                                                                                                  \n",
      " pool2_pool (AveragePooling2D)  (None, 28, 28, 128)  0           ['pool2_conv[0][0]']             \n",
      "                                                                                                  \n",
      " conv3_block1_0_bn (BatchNormal  (None, 28, 28, 128)  512        ['pool2_pool[0][0]']             \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv3_block1_0_relu (Activatio  (None, 28, 28, 128)  0          ['conv3_block1_0_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv3_block1_1_conv (Conv2D)   (None, 28, 28, 128)  16384       ['conv3_block1_0_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv3_block1_1_bn (BatchNormal  (None, 28, 28, 128)  512        ['conv3_block1_1_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv3_block1_1_relu (Activatio  (None, 28, 28, 128)  0          ['conv3_block1_1_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv3_block1_2_conv (Conv2D)   (None, 28, 28, 32)   36864       ['conv3_block1_1_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv3_block1_concat (Concatena  (None, 28, 28, 160)  0          ['pool2_pool[0][0]',             \n",
      " te)                                                              'conv3_block1_2_conv[0][0]']    \n",
      "                                                                                                  \n",
      " conv3_block2_0_bn (BatchNormal  (None, 28, 28, 160)  640        ['conv3_block1_concat[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv3_block2_0_relu (Activatio  (None, 28, 28, 160)  0          ['conv3_block2_0_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv3_block2_1_conv (Conv2D)   (None, 28, 28, 128)  20480       ['conv3_block2_0_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv3_block2_1_bn (BatchNormal  (None, 28, 28, 128)  512        ['conv3_block2_1_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv3_block2_1_relu (Activatio  (None, 28, 28, 128)  0          ['conv3_block2_1_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv3_block2_2_conv (Conv2D)   (None, 28, 28, 32)   36864       ['conv3_block2_1_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv3_block2_concat (Concatena  (None, 28, 28, 192)  0          ['conv3_block1_concat[0][0]',    \n",
      " te)                                                              'conv3_block2_2_conv[0][0]']    \n",
      "                                                                                                  \n",
      " conv3_block3_0_bn (BatchNormal  (None, 28, 28, 192)  768        ['conv3_block2_concat[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv3_block3_0_relu (Activatio  (None, 28, 28, 192)  0          ['conv3_block3_0_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv3_block3_1_conv (Conv2D)   (None, 28, 28, 128)  24576       ['conv3_block3_0_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv3_block3_1_bn (BatchNormal  (None, 28, 28, 128)  512        ['conv3_block3_1_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv3_block3_1_relu (Activatio  (None, 28, 28, 128)  0          ['conv3_block3_1_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv3_block3_2_conv (Conv2D)   (None, 28, 28, 32)   36864       ['conv3_block3_1_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv3_block3_concat (Concatena  (None, 28, 28, 224)  0          ['conv3_block2_concat[0][0]',    \n",
      " te)                                                              'conv3_block3_2_conv[0][0]']    \n",
      "                                                                                                  \n",
      " conv3_block4_0_bn (BatchNormal  (None, 28, 28, 224)  896        ['conv3_block3_concat[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv3_block4_0_relu (Activatio  (None, 28, 28, 224)  0          ['conv3_block4_0_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv3_block4_1_conv (Conv2D)   (None, 28, 28, 128)  28672       ['conv3_block4_0_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv3_block4_1_bn (BatchNormal  (None, 28, 28, 128)  512        ['conv3_block4_1_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv3_block4_1_relu (Activatio  (None, 28, 28, 128)  0          ['conv3_block4_1_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv3_block4_2_conv (Conv2D)   (None, 28, 28, 32)   36864       ['conv3_block4_1_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv3_block4_concat (Concatena  (None, 28, 28, 256)  0          ['conv3_block3_concat[0][0]',    \n",
      " te)                                                              'conv3_block4_2_conv[0][0]']    \n",
      "                                                                                                  \n",
      " conv3_block5_0_bn (BatchNormal  (None, 28, 28, 256)  1024       ['conv3_block4_concat[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv3_block5_0_relu (Activatio  (None, 28, 28, 256)  0          ['conv3_block5_0_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv3_block5_1_conv (Conv2D)   (None, 28, 28, 128)  32768       ['conv3_block5_0_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv3_block5_1_bn (BatchNormal  (None, 28, 28, 128)  512        ['conv3_block5_1_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv3_block5_1_relu (Activatio  (None, 28, 28, 128)  0          ['conv3_block5_1_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv3_block5_2_conv (Conv2D)   (None, 28, 28, 32)   36864       ['conv3_block5_1_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv3_block5_concat (Concatena  (None, 28, 28, 288)  0          ['conv3_block4_concat[0][0]',    \n",
      " te)                                                              'conv3_block5_2_conv[0][0]']    \n",
      "                                                                                                  \n",
      " conv3_block6_0_bn (BatchNormal  (None, 28, 28, 288)  1152       ['conv3_block5_concat[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv3_block6_0_relu (Activatio  (None, 28, 28, 288)  0          ['conv3_block6_0_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv3_block6_1_conv (Conv2D)   (None, 28, 28, 128)  36864       ['conv3_block6_0_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv3_block6_1_bn (BatchNormal  (None, 28, 28, 128)  512        ['conv3_block6_1_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv3_block6_1_relu (Activatio  (None, 28, 28, 128)  0          ['conv3_block6_1_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv3_block6_2_conv (Conv2D)   (None, 28, 28, 32)   36864       ['conv3_block6_1_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv3_block6_concat (Concatena  (None, 28, 28, 320)  0          ['conv3_block5_concat[0][0]',    \n",
      " te)                                                              'conv3_block6_2_conv[0][0]']    \n",
      "                                                                                                  \n",
      " conv3_block7_0_bn (BatchNormal  (None, 28, 28, 320)  1280       ['conv3_block6_concat[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv3_block7_0_relu (Activatio  (None, 28, 28, 320)  0          ['conv3_block7_0_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv3_block7_1_conv (Conv2D)   (None, 28, 28, 128)  40960       ['conv3_block7_0_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv3_block7_1_bn (BatchNormal  (None, 28, 28, 128)  512        ['conv3_block7_1_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv3_block7_1_relu (Activatio  (None, 28, 28, 128)  0          ['conv3_block7_1_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv3_block7_2_conv (Conv2D)   (None, 28, 28, 32)   36864       ['conv3_block7_1_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv3_block7_concat (Concatena  (None, 28, 28, 352)  0          ['conv3_block6_concat[0][0]',    \n",
      " te)                                                              'conv3_block7_2_conv[0][0]']    \n",
      "                                                                                                  \n",
      " conv3_block8_0_bn (BatchNormal  (None, 28, 28, 352)  1408       ['conv3_block7_concat[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv3_block8_0_relu (Activatio  (None, 28, 28, 352)  0          ['conv3_block8_0_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv3_block8_1_conv (Conv2D)   (None, 28, 28, 128)  45056       ['conv3_block8_0_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv3_block8_1_bn (BatchNormal  (None, 28, 28, 128)  512        ['conv3_block8_1_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv3_block8_1_relu (Activatio  (None, 28, 28, 128)  0          ['conv3_block8_1_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv3_block8_2_conv (Conv2D)   (None, 28, 28, 32)   36864       ['conv3_block8_1_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv3_block8_concat (Concatena  (None, 28, 28, 384)  0          ['conv3_block7_concat[0][0]',    \n",
      " te)                                                              'conv3_block8_2_conv[0][0]']    \n",
      "                                                                                                  \n",
      " conv3_block9_0_bn (BatchNormal  (None, 28, 28, 384)  1536       ['conv3_block8_concat[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv3_block9_0_relu (Activatio  (None, 28, 28, 384)  0          ['conv3_block9_0_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv3_block9_1_conv (Conv2D)   (None, 28, 28, 128)  49152       ['conv3_block9_0_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv3_block9_1_bn (BatchNormal  (None, 28, 28, 128)  512        ['conv3_block9_1_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv3_block9_1_relu (Activatio  (None, 28, 28, 128)  0          ['conv3_block9_1_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv3_block9_2_conv (Conv2D)   (None, 28, 28, 32)   36864       ['conv3_block9_1_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv3_block9_concat (Concatena  (None, 28, 28, 416)  0          ['conv3_block8_concat[0][0]',    \n",
      " te)                                                              'conv3_block9_2_conv[0][0]']    \n",
      "                                                                                                  \n",
      " conv3_block10_0_bn (BatchNorma  (None, 28, 28, 416)  1664       ['conv3_block9_concat[0][0]']    \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv3_block10_0_relu (Activati  (None, 28, 28, 416)  0          ['conv3_block10_0_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv3_block10_1_conv (Conv2D)  (None, 28, 28, 128)  53248       ['conv3_block10_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv3_block10_1_bn (BatchNorma  (None, 28, 28, 128)  512        ['conv3_block10_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv3_block10_1_relu (Activati  (None, 28, 28, 128)  0          ['conv3_block10_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv3_block10_2_conv (Conv2D)  (None, 28, 28, 32)   36864       ['conv3_block10_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv3_block10_concat (Concaten  (None, 28, 28, 448)  0          ['conv3_block9_concat[0][0]',    \n",
      " ate)                                                             'conv3_block10_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv3_block11_0_bn (BatchNorma  (None, 28, 28, 448)  1792       ['conv3_block10_concat[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv3_block11_0_relu (Activati  (None, 28, 28, 448)  0          ['conv3_block11_0_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv3_block11_1_conv (Conv2D)  (None, 28, 28, 128)  57344       ['conv3_block11_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv3_block11_1_bn (BatchNorma  (None, 28, 28, 128)  512        ['conv3_block11_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv3_block11_1_relu (Activati  (None, 28, 28, 128)  0          ['conv3_block11_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv3_block11_2_conv (Conv2D)  (None, 28, 28, 32)   36864       ['conv3_block11_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv3_block11_concat (Concaten  (None, 28, 28, 480)  0          ['conv3_block10_concat[0][0]',   \n",
      " ate)                                                             'conv3_block11_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv3_block12_0_bn (BatchNorma  (None, 28, 28, 480)  1920       ['conv3_block11_concat[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv3_block12_0_relu (Activati  (None, 28, 28, 480)  0          ['conv3_block12_0_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv3_block12_1_conv (Conv2D)  (None, 28, 28, 128)  61440       ['conv3_block12_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv3_block12_1_bn (BatchNorma  (None, 28, 28, 128)  512        ['conv3_block12_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv3_block12_1_relu (Activati  (None, 28, 28, 128)  0          ['conv3_block12_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv3_block12_2_conv (Conv2D)  (None, 28, 28, 32)   36864       ['conv3_block12_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv3_block12_concat (Concaten  (None, 28, 28, 512)  0          ['conv3_block11_concat[0][0]',   \n",
      " ate)                                                             'conv3_block12_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " pool3_bn (BatchNormalization)  (None, 28, 28, 512)  2048        ['conv3_block12_concat[0][0]']   \n",
      "                                                                                                  \n",
      " pool3_relu (Activation)        (None, 28, 28, 512)  0           ['pool3_bn[0][0]']               \n",
      "                                                                                                  \n",
      " pool3_conv (Conv2D)            (None, 28, 28, 256)  131072      ['pool3_relu[0][0]']             \n",
      "                                                                                                  \n",
      " pool3_pool (AveragePooling2D)  (None, 14, 14, 256)  0           ['pool3_conv[0][0]']             \n",
      "                                                                                                  \n",
      " conv4_block1_0_bn (BatchNormal  (None, 14, 14, 256)  1024       ['pool3_pool[0][0]']             \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv4_block1_0_relu (Activatio  (None, 14, 14, 256)  0          ['conv4_block1_0_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv4_block1_1_conv (Conv2D)   (None, 14, 14, 128)  32768       ['conv4_block1_0_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv4_block1_1_bn (BatchNormal  (None, 14, 14, 128)  512        ['conv4_block1_1_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv4_block1_1_relu (Activatio  (None, 14, 14, 128)  0          ['conv4_block1_1_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv4_block1_2_conv (Conv2D)   (None, 14, 14, 32)   36864       ['conv4_block1_1_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv4_block1_concat (Concatena  (None, 14, 14, 288)  0          ['pool3_pool[0][0]',             \n",
      " te)                                                              'conv4_block1_2_conv[0][0]']    \n",
      "                                                                                                  \n",
      " conv4_block2_0_bn (BatchNormal  (None, 14, 14, 288)  1152       ['conv4_block1_concat[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv4_block2_0_relu (Activatio  (None, 14, 14, 288)  0          ['conv4_block2_0_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv4_block2_1_conv (Conv2D)   (None, 14, 14, 128)  36864       ['conv4_block2_0_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv4_block2_1_bn (BatchNormal  (None, 14, 14, 128)  512        ['conv4_block2_1_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv4_block2_1_relu (Activatio  (None, 14, 14, 128)  0          ['conv4_block2_1_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv4_block2_2_conv (Conv2D)   (None, 14, 14, 32)   36864       ['conv4_block2_1_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv4_block2_concat (Concatena  (None, 14, 14, 320)  0          ['conv4_block1_concat[0][0]',    \n",
      " te)                                                              'conv4_block2_2_conv[0][0]']    \n",
      "                                                                                                  \n",
      " conv4_block3_0_bn (BatchNormal  (None, 14, 14, 320)  1280       ['conv4_block2_concat[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv4_block3_0_relu (Activatio  (None, 14, 14, 320)  0          ['conv4_block3_0_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv4_block3_1_conv (Conv2D)   (None, 14, 14, 128)  40960       ['conv4_block3_0_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv4_block3_1_bn (BatchNormal  (None, 14, 14, 128)  512        ['conv4_block3_1_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv4_block3_1_relu (Activatio  (None, 14, 14, 128)  0          ['conv4_block3_1_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv4_block3_2_conv (Conv2D)   (None, 14, 14, 32)   36864       ['conv4_block3_1_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv4_block3_concat (Concatena  (None, 14, 14, 352)  0          ['conv4_block2_concat[0][0]',    \n",
      " te)                                                              'conv4_block3_2_conv[0][0]']    \n",
      "                                                                                                  \n",
      " conv4_block4_0_bn (BatchNormal  (None, 14, 14, 352)  1408       ['conv4_block3_concat[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv4_block4_0_relu (Activatio  (None, 14, 14, 352)  0          ['conv4_block4_0_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv4_block4_1_conv (Conv2D)   (None, 14, 14, 128)  45056       ['conv4_block4_0_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv4_block4_1_bn (BatchNormal  (None, 14, 14, 128)  512        ['conv4_block4_1_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv4_block4_1_relu (Activatio  (None, 14, 14, 128)  0          ['conv4_block4_1_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv4_block4_2_conv (Conv2D)   (None, 14, 14, 32)   36864       ['conv4_block4_1_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv4_block4_concat (Concatena  (None, 14, 14, 384)  0          ['conv4_block3_concat[0][0]',    \n",
      " te)                                                              'conv4_block4_2_conv[0][0]']    \n",
      "                                                                                                  \n",
      " conv4_block5_0_bn (BatchNormal  (None, 14, 14, 384)  1536       ['conv4_block4_concat[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv4_block5_0_relu (Activatio  (None, 14, 14, 384)  0          ['conv4_block5_0_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv4_block5_1_conv (Conv2D)   (None, 14, 14, 128)  49152       ['conv4_block5_0_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv4_block5_1_bn (BatchNormal  (None, 14, 14, 128)  512        ['conv4_block5_1_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv4_block5_1_relu (Activatio  (None, 14, 14, 128)  0          ['conv4_block5_1_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv4_block5_2_conv (Conv2D)   (None, 14, 14, 32)   36864       ['conv4_block5_1_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv4_block5_concat (Concatena  (None, 14, 14, 416)  0          ['conv4_block4_concat[0][0]',    \n",
      " te)                                                              'conv4_block5_2_conv[0][0]']    \n",
      "                                                                                                  \n",
      " conv4_block6_0_bn (BatchNormal  (None, 14, 14, 416)  1664       ['conv4_block5_concat[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv4_block6_0_relu (Activatio  (None, 14, 14, 416)  0          ['conv4_block6_0_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv4_block6_1_conv (Conv2D)   (None, 14, 14, 128)  53248       ['conv4_block6_0_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv4_block6_1_bn (BatchNormal  (None, 14, 14, 128)  512        ['conv4_block6_1_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv4_block6_1_relu (Activatio  (None, 14, 14, 128)  0          ['conv4_block6_1_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv4_block6_2_conv (Conv2D)   (None, 14, 14, 32)   36864       ['conv4_block6_1_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv4_block6_concat (Concatena  (None, 14, 14, 448)  0          ['conv4_block5_concat[0][0]',    \n",
      " te)                                                              'conv4_block6_2_conv[0][0]']    \n",
      "                                                                                                  \n",
      " conv4_block7_0_bn (BatchNormal  (None, 14, 14, 448)  1792       ['conv4_block6_concat[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv4_block7_0_relu (Activatio  (None, 14, 14, 448)  0          ['conv4_block7_0_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv4_block7_1_conv (Conv2D)   (None, 14, 14, 128)  57344       ['conv4_block7_0_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv4_block7_1_bn (BatchNormal  (None, 14, 14, 128)  512        ['conv4_block7_1_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv4_block7_1_relu (Activatio  (None, 14, 14, 128)  0          ['conv4_block7_1_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv4_block7_2_conv (Conv2D)   (None, 14, 14, 32)   36864       ['conv4_block7_1_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv4_block7_concat (Concatena  (None, 14, 14, 480)  0          ['conv4_block6_concat[0][0]',    \n",
      " te)                                                              'conv4_block7_2_conv[0][0]']    \n",
      "                                                                                                  \n",
      " conv4_block8_0_bn (BatchNormal  (None, 14, 14, 480)  1920       ['conv4_block7_concat[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv4_block8_0_relu (Activatio  (None, 14, 14, 480)  0          ['conv4_block8_0_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv4_block8_1_conv (Conv2D)   (None, 14, 14, 128)  61440       ['conv4_block8_0_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv4_block8_1_bn (BatchNormal  (None, 14, 14, 128)  512        ['conv4_block8_1_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv4_block8_1_relu (Activatio  (None, 14, 14, 128)  0          ['conv4_block8_1_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv4_block8_2_conv (Conv2D)   (None, 14, 14, 32)   36864       ['conv4_block8_1_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv4_block8_concat (Concatena  (None, 14, 14, 512)  0          ['conv4_block7_concat[0][0]',    \n",
      " te)                                                              'conv4_block8_2_conv[0][0]']    \n",
      "                                                                                                  \n",
      " conv4_block9_0_bn (BatchNormal  (None, 14, 14, 512)  2048       ['conv4_block8_concat[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv4_block9_0_relu (Activatio  (None, 14, 14, 512)  0          ['conv4_block9_0_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv4_block9_1_conv (Conv2D)   (None, 14, 14, 128)  65536       ['conv4_block9_0_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv4_block9_1_bn (BatchNormal  (None, 14, 14, 128)  512        ['conv4_block9_1_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv4_block9_1_relu (Activatio  (None, 14, 14, 128)  0          ['conv4_block9_1_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv4_block9_2_conv (Conv2D)   (None, 14, 14, 32)   36864       ['conv4_block9_1_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv4_block9_concat (Concatena  (None, 14, 14, 544)  0          ['conv4_block8_concat[0][0]',    \n",
      " te)                                                              'conv4_block9_2_conv[0][0]']    \n",
      "                                                                                                  \n",
      " conv4_block10_0_bn (BatchNorma  (None, 14, 14, 544)  2176       ['conv4_block9_concat[0][0]']    \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block10_0_relu (Activati  (None, 14, 14, 544)  0          ['conv4_block10_0_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block10_1_conv (Conv2D)  (None, 14, 14, 128)  69632       ['conv4_block10_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block10_1_bn (BatchNorma  (None, 14, 14, 128)  512        ['conv4_block10_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block10_1_relu (Activati  (None, 14, 14, 128)  0          ['conv4_block10_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block10_2_conv (Conv2D)  (None, 14, 14, 32)   36864       ['conv4_block10_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block10_concat (Concaten  (None, 14, 14, 576)  0          ['conv4_block9_concat[0][0]',    \n",
      " ate)                                                             'conv4_block10_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block11_0_bn (BatchNorma  (None, 14, 14, 576)  2304       ['conv4_block10_concat[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block11_0_relu (Activati  (None, 14, 14, 576)  0          ['conv4_block11_0_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block11_1_conv (Conv2D)  (None, 14, 14, 128)  73728       ['conv4_block11_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block11_1_bn (BatchNorma  (None, 14, 14, 128)  512        ['conv4_block11_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block11_1_relu (Activati  (None, 14, 14, 128)  0          ['conv4_block11_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block11_2_conv (Conv2D)  (None, 14, 14, 32)   36864       ['conv4_block11_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block11_concat (Concaten  (None, 14, 14, 608)  0          ['conv4_block10_concat[0][0]',   \n",
      " ate)                                                             'conv4_block11_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block12_0_bn (BatchNorma  (None, 14, 14, 608)  2432       ['conv4_block11_concat[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block12_0_relu (Activati  (None, 14, 14, 608)  0          ['conv4_block12_0_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block12_1_conv (Conv2D)  (None, 14, 14, 128)  77824       ['conv4_block12_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block12_1_bn (BatchNorma  (None, 14, 14, 128)  512        ['conv4_block12_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block12_1_relu (Activati  (None, 14, 14, 128)  0          ['conv4_block12_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block12_2_conv (Conv2D)  (None, 14, 14, 32)   36864       ['conv4_block12_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block12_concat (Concaten  (None, 14, 14, 640)  0          ['conv4_block11_concat[0][0]',   \n",
      " ate)                                                             'conv4_block12_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block13_0_bn (BatchNorma  (None, 14, 14, 640)  2560       ['conv4_block12_concat[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block13_0_relu (Activati  (None, 14, 14, 640)  0          ['conv4_block13_0_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block13_1_conv (Conv2D)  (None, 14, 14, 128)  81920       ['conv4_block13_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block13_1_bn (BatchNorma  (None, 14, 14, 128)  512        ['conv4_block13_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block13_1_relu (Activati  (None, 14, 14, 128)  0          ['conv4_block13_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block13_2_conv (Conv2D)  (None, 14, 14, 32)   36864       ['conv4_block13_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block13_concat (Concaten  (None, 14, 14, 672)  0          ['conv4_block12_concat[0][0]',   \n",
      " ate)                                                             'conv4_block13_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block14_0_bn (BatchNorma  (None, 14, 14, 672)  2688       ['conv4_block13_concat[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block14_0_relu (Activati  (None, 14, 14, 672)  0          ['conv4_block14_0_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block14_1_conv (Conv2D)  (None, 14, 14, 128)  86016       ['conv4_block14_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block14_1_bn (BatchNorma  (None, 14, 14, 128)  512        ['conv4_block14_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block14_1_relu (Activati  (None, 14, 14, 128)  0          ['conv4_block14_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block14_2_conv (Conv2D)  (None, 14, 14, 32)   36864       ['conv4_block14_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block14_concat (Concaten  (None, 14, 14, 704)  0          ['conv4_block13_concat[0][0]',   \n",
      " ate)                                                             'conv4_block14_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block15_0_bn (BatchNorma  (None, 14, 14, 704)  2816       ['conv4_block14_concat[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block15_0_relu (Activati  (None, 14, 14, 704)  0          ['conv4_block15_0_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block15_1_conv (Conv2D)  (None, 14, 14, 128)  90112       ['conv4_block15_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block15_1_bn (BatchNorma  (None, 14, 14, 128)  512        ['conv4_block15_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block15_1_relu (Activati  (None, 14, 14, 128)  0          ['conv4_block15_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block15_2_conv (Conv2D)  (None, 14, 14, 32)   36864       ['conv4_block15_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block15_concat (Concaten  (None, 14, 14, 736)  0          ['conv4_block14_concat[0][0]',   \n",
      " ate)                                                             'conv4_block15_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block16_0_bn (BatchNorma  (None, 14, 14, 736)  2944       ['conv4_block15_concat[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block16_0_relu (Activati  (None, 14, 14, 736)  0          ['conv4_block16_0_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block16_1_conv (Conv2D)  (None, 14, 14, 128)  94208       ['conv4_block16_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block16_1_bn (BatchNorma  (None, 14, 14, 128)  512        ['conv4_block16_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block16_1_relu (Activati  (None, 14, 14, 128)  0          ['conv4_block16_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block16_2_conv (Conv2D)  (None, 14, 14, 32)   36864       ['conv4_block16_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block16_concat (Concaten  (None, 14, 14, 768)  0          ['conv4_block15_concat[0][0]',   \n",
      " ate)                                                             'conv4_block16_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block17_0_bn (BatchNorma  (None, 14, 14, 768)  3072       ['conv4_block16_concat[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block17_0_relu (Activati  (None, 14, 14, 768)  0          ['conv4_block17_0_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block17_1_conv (Conv2D)  (None, 14, 14, 128)  98304       ['conv4_block17_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block17_1_bn (BatchNorma  (None, 14, 14, 128)  512        ['conv4_block17_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block17_1_relu (Activati  (None, 14, 14, 128)  0          ['conv4_block17_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block17_2_conv (Conv2D)  (None, 14, 14, 32)   36864       ['conv4_block17_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block17_concat (Concaten  (None, 14, 14, 800)  0          ['conv4_block16_concat[0][0]',   \n",
      " ate)                                                             'conv4_block17_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block18_0_bn (BatchNorma  (None, 14, 14, 800)  3200       ['conv4_block17_concat[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block18_0_relu (Activati  (None, 14, 14, 800)  0          ['conv4_block18_0_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block18_1_conv (Conv2D)  (None, 14, 14, 128)  102400      ['conv4_block18_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block18_1_bn (BatchNorma  (None, 14, 14, 128)  512        ['conv4_block18_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block18_1_relu (Activati  (None, 14, 14, 128)  0          ['conv4_block18_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block18_2_conv (Conv2D)  (None, 14, 14, 32)   36864       ['conv4_block18_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block18_concat (Concaten  (None, 14, 14, 832)  0          ['conv4_block17_concat[0][0]',   \n",
      " ate)                                                             'conv4_block18_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block19_0_bn (BatchNorma  (None, 14, 14, 832)  3328       ['conv4_block18_concat[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block19_0_relu (Activati  (None, 14, 14, 832)  0          ['conv4_block19_0_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block19_1_conv (Conv2D)  (None, 14, 14, 128)  106496      ['conv4_block19_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block19_1_bn (BatchNorma  (None, 14, 14, 128)  512        ['conv4_block19_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block19_1_relu (Activati  (None, 14, 14, 128)  0          ['conv4_block19_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block19_2_conv (Conv2D)  (None, 14, 14, 32)   36864       ['conv4_block19_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block19_concat (Concaten  (None, 14, 14, 864)  0          ['conv4_block18_concat[0][0]',   \n",
      " ate)                                                             'conv4_block19_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block20_0_bn (BatchNorma  (None, 14, 14, 864)  3456       ['conv4_block19_concat[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block20_0_relu (Activati  (None, 14, 14, 864)  0          ['conv4_block20_0_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block20_1_conv (Conv2D)  (None, 14, 14, 128)  110592      ['conv4_block20_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block20_1_bn (BatchNorma  (None, 14, 14, 128)  512        ['conv4_block20_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block20_1_relu (Activati  (None, 14, 14, 128)  0          ['conv4_block20_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block20_2_conv (Conv2D)  (None, 14, 14, 32)   36864       ['conv4_block20_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block20_concat (Concaten  (None, 14, 14, 896)  0          ['conv4_block19_concat[0][0]',   \n",
      " ate)                                                             'conv4_block20_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block21_0_bn (BatchNorma  (None, 14, 14, 896)  3584       ['conv4_block20_concat[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block21_0_relu (Activati  (None, 14, 14, 896)  0          ['conv4_block21_0_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block21_1_conv (Conv2D)  (None, 14, 14, 128)  114688      ['conv4_block21_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block21_1_bn (BatchNorma  (None, 14, 14, 128)  512        ['conv4_block21_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block21_1_relu (Activati  (None, 14, 14, 128)  0          ['conv4_block21_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block21_2_conv (Conv2D)  (None, 14, 14, 32)   36864       ['conv4_block21_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block21_concat (Concaten  (None, 14, 14, 928)  0          ['conv4_block20_concat[0][0]',   \n",
      " ate)                                                             'conv4_block21_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block22_0_bn (BatchNorma  (None, 14, 14, 928)  3712       ['conv4_block21_concat[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block22_0_relu (Activati  (None, 14, 14, 928)  0          ['conv4_block22_0_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block22_1_conv (Conv2D)  (None, 14, 14, 128)  118784      ['conv4_block22_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block22_1_bn (BatchNorma  (None, 14, 14, 128)  512        ['conv4_block22_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block22_1_relu (Activati  (None, 14, 14, 128)  0          ['conv4_block22_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block22_2_conv (Conv2D)  (None, 14, 14, 32)   36864       ['conv4_block22_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block22_concat (Concaten  (None, 14, 14, 960)  0          ['conv4_block21_concat[0][0]',   \n",
      " ate)                                                             'conv4_block22_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block23_0_bn (BatchNorma  (None, 14, 14, 960)  3840       ['conv4_block22_concat[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block23_0_relu (Activati  (None, 14, 14, 960)  0          ['conv4_block23_0_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block23_1_conv (Conv2D)  (None, 14, 14, 128)  122880      ['conv4_block23_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block23_1_bn (BatchNorma  (None, 14, 14, 128)  512        ['conv4_block23_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block23_1_relu (Activati  (None, 14, 14, 128)  0          ['conv4_block23_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block23_2_conv (Conv2D)  (None, 14, 14, 32)   36864       ['conv4_block23_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block23_concat (Concaten  (None, 14, 14, 992)  0          ['conv4_block22_concat[0][0]',   \n",
      " ate)                                                             'conv4_block23_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block24_0_bn (BatchNorma  (None, 14, 14, 992)  3968       ['conv4_block23_concat[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block24_0_relu (Activati  (None, 14, 14, 992)  0          ['conv4_block24_0_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block24_1_conv (Conv2D)  (None, 14, 14, 128)  126976      ['conv4_block24_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block24_1_bn (BatchNorma  (None, 14, 14, 128)  512        ['conv4_block24_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block24_1_relu (Activati  (None, 14, 14, 128)  0          ['conv4_block24_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block24_2_conv (Conv2D)  (None, 14, 14, 32)   36864       ['conv4_block24_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block24_concat (Concaten  (None, 14, 14, 1024  0          ['conv4_block23_concat[0][0]',   \n",
      " ate)                           )                                 'conv4_block24_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block25_0_bn (BatchNorma  (None, 14, 14, 1024  4096       ['conv4_block24_concat[0][0]']   \n",
      " lization)                      )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block25_0_relu (Activati  (None, 14, 14, 1024  0          ['conv4_block25_0_bn[0][0]']     \n",
      " on)                            )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block25_1_conv (Conv2D)  (None, 14, 14, 128)  131072      ['conv4_block25_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block25_1_bn (BatchNorma  (None, 14, 14, 128)  512        ['conv4_block25_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block25_1_relu (Activati  (None, 14, 14, 128)  0          ['conv4_block25_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block25_2_conv (Conv2D)  (None, 14, 14, 32)   36864       ['conv4_block25_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block25_concat (Concaten  (None, 14, 14, 1056  0          ['conv4_block24_concat[0][0]',   \n",
      " ate)                           )                                 'conv4_block25_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block26_0_bn (BatchNorma  (None, 14, 14, 1056  4224       ['conv4_block25_concat[0][0]']   \n",
      " lization)                      )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block26_0_relu (Activati  (None, 14, 14, 1056  0          ['conv4_block26_0_bn[0][0]']     \n",
      " on)                            )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block26_1_conv (Conv2D)  (None, 14, 14, 128)  135168      ['conv4_block26_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block26_1_bn (BatchNorma  (None, 14, 14, 128)  512        ['conv4_block26_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block26_1_relu (Activati  (None, 14, 14, 128)  0          ['conv4_block26_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block26_2_conv (Conv2D)  (None, 14, 14, 32)   36864       ['conv4_block26_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block26_concat (Concaten  (None, 14, 14, 1088  0          ['conv4_block25_concat[0][0]',   \n",
      " ate)                           )                                 'conv4_block26_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block27_0_bn (BatchNorma  (None, 14, 14, 1088  4352       ['conv4_block26_concat[0][0]']   \n",
      " lization)                      )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block27_0_relu (Activati  (None, 14, 14, 1088  0          ['conv4_block27_0_bn[0][0]']     \n",
      " on)                            )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block27_1_conv (Conv2D)  (None, 14, 14, 128)  139264      ['conv4_block27_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block27_1_bn (BatchNorma  (None, 14, 14, 128)  512        ['conv4_block27_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block27_1_relu (Activati  (None, 14, 14, 128)  0          ['conv4_block27_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block27_2_conv (Conv2D)  (None, 14, 14, 32)   36864       ['conv4_block27_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block27_concat (Concaten  (None, 14, 14, 1120  0          ['conv4_block26_concat[0][0]',   \n",
      " ate)                           )                                 'conv4_block27_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block28_0_bn (BatchNorma  (None, 14, 14, 1120  4480       ['conv4_block27_concat[0][0]']   \n",
      " lization)                      )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block28_0_relu (Activati  (None, 14, 14, 1120  0          ['conv4_block28_0_bn[0][0]']     \n",
      " on)                            )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block28_1_conv (Conv2D)  (None, 14, 14, 128)  143360      ['conv4_block28_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block28_1_bn (BatchNorma  (None, 14, 14, 128)  512        ['conv4_block28_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block28_1_relu (Activati  (None, 14, 14, 128)  0          ['conv4_block28_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block28_2_conv (Conv2D)  (None, 14, 14, 32)   36864       ['conv4_block28_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block28_concat (Concaten  (None, 14, 14, 1152  0          ['conv4_block27_concat[0][0]',   \n",
      " ate)                           )                                 'conv4_block28_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block29_0_bn (BatchNorma  (None, 14, 14, 1152  4608       ['conv4_block28_concat[0][0]']   \n",
      " lization)                      )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block29_0_relu (Activati  (None, 14, 14, 1152  0          ['conv4_block29_0_bn[0][0]']     \n",
      " on)                            )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block29_1_conv (Conv2D)  (None, 14, 14, 128)  147456      ['conv4_block29_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block29_1_bn (BatchNorma  (None, 14, 14, 128)  512        ['conv4_block29_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block29_1_relu (Activati  (None, 14, 14, 128)  0          ['conv4_block29_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block29_2_conv (Conv2D)  (None, 14, 14, 32)   36864       ['conv4_block29_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block29_concat (Concaten  (None, 14, 14, 1184  0          ['conv4_block28_concat[0][0]',   \n",
      " ate)                           )                                 'conv4_block29_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block30_0_bn (BatchNorma  (None, 14, 14, 1184  4736       ['conv4_block29_concat[0][0]']   \n",
      " lization)                      )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block30_0_relu (Activati  (None, 14, 14, 1184  0          ['conv4_block30_0_bn[0][0]']     \n",
      " on)                            )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block30_1_conv (Conv2D)  (None, 14, 14, 128)  151552      ['conv4_block30_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block30_1_bn (BatchNorma  (None, 14, 14, 128)  512        ['conv4_block30_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block30_1_relu (Activati  (None, 14, 14, 128)  0          ['conv4_block30_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block30_2_conv (Conv2D)  (None, 14, 14, 32)   36864       ['conv4_block30_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block30_concat (Concaten  (None, 14, 14, 1216  0          ['conv4_block29_concat[0][0]',   \n",
      " ate)                           )                                 'conv4_block30_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block31_0_bn (BatchNorma  (None, 14, 14, 1216  4864       ['conv4_block30_concat[0][0]']   \n",
      " lization)                      )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block31_0_relu (Activati  (None, 14, 14, 1216  0          ['conv4_block31_0_bn[0][0]']     \n",
      " on)                            )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block31_1_conv (Conv2D)  (None, 14, 14, 128)  155648      ['conv4_block31_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block31_1_bn (BatchNorma  (None, 14, 14, 128)  512        ['conv4_block31_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block31_1_relu (Activati  (None, 14, 14, 128)  0          ['conv4_block31_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block31_2_conv (Conv2D)  (None, 14, 14, 32)   36864       ['conv4_block31_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block31_concat (Concaten  (None, 14, 14, 1248  0          ['conv4_block30_concat[0][0]',   \n",
      " ate)                           )                                 'conv4_block31_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block32_0_bn (BatchNorma  (None, 14, 14, 1248  4992       ['conv4_block31_concat[0][0]']   \n",
      " lization)                      )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block32_0_relu (Activati  (None, 14, 14, 1248  0          ['conv4_block32_0_bn[0][0]']     \n",
      " on)                            )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block32_1_conv (Conv2D)  (None, 14, 14, 128)  159744      ['conv4_block32_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block32_1_bn (BatchNorma  (None, 14, 14, 128)  512        ['conv4_block32_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block32_1_relu (Activati  (None, 14, 14, 128)  0          ['conv4_block32_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block32_2_conv (Conv2D)  (None, 14, 14, 32)   36864       ['conv4_block32_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block32_concat (Concaten  (None, 14, 14, 1280  0          ['conv4_block31_concat[0][0]',   \n",
      " ate)                           )                                 'conv4_block32_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block33_0_bn (BatchNorma  (None, 14, 14, 1280  5120       ['conv4_block32_concat[0][0]']   \n",
      " lization)                      )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block33_0_relu (Activati  (None, 14, 14, 1280  0          ['conv4_block33_0_bn[0][0]']     \n",
      " on)                            )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block33_1_conv (Conv2D)  (None, 14, 14, 128)  163840      ['conv4_block33_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block33_1_bn (BatchNorma  (None, 14, 14, 128)  512        ['conv4_block33_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block33_1_relu (Activati  (None, 14, 14, 128)  0          ['conv4_block33_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block33_2_conv (Conv2D)  (None, 14, 14, 32)   36864       ['conv4_block33_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block33_concat (Concaten  (None, 14, 14, 1312  0          ['conv4_block32_concat[0][0]',   \n",
      " ate)                           )                                 'conv4_block33_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block34_0_bn (BatchNorma  (None, 14, 14, 1312  5248       ['conv4_block33_concat[0][0]']   \n",
      " lization)                      )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block34_0_relu (Activati  (None, 14, 14, 1312  0          ['conv4_block34_0_bn[0][0]']     \n",
      " on)                            )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block34_1_conv (Conv2D)  (None, 14, 14, 128)  167936      ['conv4_block34_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block34_1_bn (BatchNorma  (None, 14, 14, 128)  512        ['conv4_block34_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block34_1_relu (Activati  (None, 14, 14, 128)  0          ['conv4_block34_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block34_2_conv (Conv2D)  (None, 14, 14, 32)   36864       ['conv4_block34_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block34_concat (Concaten  (None, 14, 14, 1344  0          ['conv4_block33_concat[0][0]',   \n",
      " ate)                           )                                 'conv4_block34_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block35_0_bn (BatchNorma  (None, 14, 14, 1344  5376       ['conv4_block34_concat[0][0]']   \n",
      " lization)                      )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block35_0_relu (Activati  (None, 14, 14, 1344  0          ['conv4_block35_0_bn[0][0]']     \n",
      " on)                            )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block35_1_conv (Conv2D)  (None, 14, 14, 128)  172032      ['conv4_block35_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block35_1_bn (BatchNorma  (None, 14, 14, 128)  512        ['conv4_block35_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block35_1_relu (Activati  (None, 14, 14, 128)  0          ['conv4_block35_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block35_2_conv (Conv2D)  (None, 14, 14, 32)   36864       ['conv4_block35_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block35_concat (Concaten  (None, 14, 14, 1376  0          ['conv4_block34_concat[0][0]',   \n",
      " ate)                           )                                 'conv4_block35_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block36_0_bn (BatchNorma  (None, 14, 14, 1376  5504       ['conv4_block35_concat[0][0]']   \n",
      " lization)                      )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block36_0_relu (Activati  (None, 14, 14, 1376  0          ['conv4_block36_0_bn[0][0]']     \n",
      " on)                            )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block36_1_conv (Conv2D)  (None, 14, 14, 128)  176128      ['conv4_block36_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block36_1_bn (BatchNorma  (None, 14, 14, 128)  512        ['conv4_block36_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block36_1_relu (Activati  (None, 14, 14, 128)  0          ['conv4_block36_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block36_2_conv (Conv2D)  (None, 14, 14, 32)   36864       ['conv4_block36_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block36_concat (Concaten  (None, 14, 14, 1408  0          ['conv4_block35_concat[0][0]',   \n",
      " ate)                           )                                 'conv4_block36_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block37_0_bn (BatchNorma  (None, 14, 14, 1408  5632       ['conv4_block36_concat[0][0]']   \n",
      " lization)                      )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block37_0_relu (Activati  (None, 14, 14, 1408  0          ['conv4_block37_0_bn[0][0]']     \n",
      " on)                            )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block37_1_conv (Conv2D)  (None, 14, 14, 128)  180224      ['conv4_block37_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block37_1_bn (BatchNorma  (None, 14, 14, 128)  512        ['conv4_block37_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block37_1_relu (Activati  (None, 14, 14, 128)  0          ['conv4_block37_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block37_2_conv (Conv2D)  (None, 14, 14, 32)   36864       ['conv4_block37_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block37_concat (Concaten  (None, 14, 14, 1440  0          ['conv4_block36_concat[0][0]',   \n",
      " ate)                           )                                 'conv4_block37_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block38_0_bn (BatchNorma  (None, 14, 14, 1440  5760       ['conv4_block37_concat[0][0]']   \n",
      " lization)                      )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block38_0_relu (Activati  (None, 14, 14, 1440  0          ['conv4_block38_0_bn[0][0]']     \n",
      " on)                            )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block38_1_conv (Conv2D)  (None, 14, 14, 128)  184320      ['conv4_block38_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block38_1_bn (BatchNorma  (None, 14, 14, 128)  512        ['conv4_block38_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block38_1_relu (Activati  (None, 14, 14, 128)  0          ['conv4_block38_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block38_2_conv (Conv2D)  (None, 14, 14, 32)   36864       ['conv4_block38_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block38_concat (Concaten  (None, 14, 14, 1472  0          ['conv4_block37_concat[0][0]',   \n",
      " ate)                           )                                 'conv4_block38_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block39_0_bn (BatchNorma  (None, 14, 14, 1472  5888       ['conv4_block38_concat[0][0]']   \n",
      " lization)                      )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block39_0_relu (Activati  (None, 14, 14, 1472  0          ['conv4_block39_0_bn[0][0]']     \n",
      " on)                            )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block39_1_conv (Conv2D)  (None, 14, 14, 128)  188416      ['conv4_block39_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block39_1_bn (BatchNorma  (None, 14, 14, 128)  512        ['conv4_block39_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block39_1_relu (Activati  (None, 14, 14, 128)  0          ['conv4_block39_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block39_2_conv (Conv2D)  (None, 14, 14, 32)   36864       ['conv4_block39_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block39_concat (Concaten  (None, 14, 14, 1504  0          ['conv4_block38_concat[0][0]',   \n",
      " ate)                           )                                 'conv4_block39_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block40_0_bn (BatchNorma  (None, 14, 14, 1504  6016       ['conv4_block39_concat[0][0]']   \n",
      " lization)                      )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block40_0_relu (Activati  (None, 14, 14, 1504  0          ['conv4_block40_0_bn[0][0]']     \n",
      " on)                            )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block40_1_conv (Conv2D)  (None, 14, 14, 128)  192512      ['conv4_block40_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block40_1_bn (BatchNorma  (None, 14, 14, 128)  512        ['conv4_block40_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block40_1_relu (Activati  (None, 14, 14, 128)  0          ['conv4_block40_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block40_2_conv (Conv2D)  (None, 14, 14, 32)   36864       ['conv4_block40_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block40_concat (Concaten  (None, 14, 14, 1536  0          ['conv4_block39_concat[0][0]',   \n",
      " ate)                           )                                 'conv4_block40_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block41_0_bn (BatchNorma  (None, 14, 14, 1536  6144       ['conv4_block40_concat[0][0]']   \n",
      " lization)                      )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block41_0_relu (Activati  (None, 14, 14, 1536  0          ['conv4_block41_0_bn[0][0]']     \n",
      " on)                            )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block41_1_conv (Conv2D)  (None, 14, 14, 128)  196608      ['conv4_block41_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block41_1_bn (BatchNorma  (None, 14, 14, 128)  512        ['conv4_block41_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block41_1_relu (Activati  (None, 14, 14, 128)  0          ['conv4_block41_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block41_2_conv (Conv2D)  (None, 14, 14, 32)   36864       ['conv4_block41_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block41_concat (Concaten  (None, 14, 14, 1568  0          ['conv4_block40_concat[0][0]',   \n",
      " ate)                           )                                 'conv4_block41_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block42_0_bn (BatchNorma  (None, 14, 14, 1568  6272       ['conv4_block41_concat[0][0]']   \n",
      " lization)                      )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block42_0_relu (Activati  (None, 14, 14, 1568  0          ['conv4_block42_0_bn[0][0]']     \n",
      " on)                            )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block42_1_conv (Conv2D)  (None, 14, 14, 128)  200704      ['conv4_block42_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block42_1_bn (BatchNorma  (None, 14, 14, 128)  512        ['conv4_block42_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block42_1_relu (Activati  (None, 14, 14, 128)  0          ['conv4_block42_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block42_2_conv (Conv2D)  (None, 14, 14, 32)   36864       ['conv4_block42_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block42_concat (Concaten  (None, 14, 14, 1600  0          ['conv4_block41_concat[0][0]',   \n",
      " ate)                           )                                 'conv4_block42_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block43_0_bn (BatchNorma  (None, 14, 14, 1600  6400       ['conv4_block42_concat[0][0]']   \n",
      " lization)                      )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block43_0_relu (Activati  (None, 14, 14, 1600  0          ['conv4_block43_0_bn[0][0]']     \n",
      " on)                            )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block43_1_conv (Conv2D)  (None, 14, 14, 128)  204800      ['conv4_block43_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block43_1_bn (BatchNorma  (None, 14, 14, 128)  512        ['conv4_block43_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block43_1_relu (Activati  (None, 14, 14, 128)  0          ['conv4_block43_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block43_2_conv (Conv2D)  (None, 14, 14, 32)   36864       ['conv4_block43_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block43_concat (Concaten  (None, 14, 14, 1632  0          ['conv4_block42_concat[0][0]',   \n",
      " ate)                           )                                 'conv4_block43_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block44_0_bn (BatchNorma  (None, 14, 14, 1632  6528       ['conv4_block43_concat[0][0]']   \n",
      " lization)                      )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block44_0_relu (Activati  (None, 14, 14, 1632  0          ['conv4_block44_0_bn[0][0]']     \n",
      " on)                            )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block44_1_conv (Conv2D)  (None, 14, 14, 128)  208896      ['conv4_block44_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block44_1_bn (BatchNorma  (None, 14, 14, 128)  512        ['conv4_block44_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block44_1_relu (Activati  (None, 14, 14, 128)  0          ['conv4_block44_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block44_2_conv (Conv2D)  (None, 14, 14, 32)   36864       ['conv4_block44_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block44_concat (Concaten  (None, 14, 14, 1664  0          ['conv4_block43_concat[0][0]',   \n",
      " ate)                           )                                 'conv4_block44_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block45_0_bn (BatchNorma  (None, 14, 14, 1664  6656       ['conv4_block44_concat[0][0]']   \n",
      " lization)                      )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block45_0_relu (Activati  (None, 14, 14, 1664  0          ['conv4_block45_0_bn[0][0]']     \n",
      " on)                            )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block45_1_conv (Conv2D)  (None, 14, 14, 128)  212992      ['conv4_block45_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block45_1_bn (BatchNorma  (None, 14, 14, 128)  512        ['conv4_block45_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block45_1_relu (Activati  (None, 14, 14, 128)  0          ['conv4_block45_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block45_2_conv (Conv2D)  (None, 14, 14, 32)   36864       ['conv4_block45_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block45_concat (Concaten  (None, 14, 14, 1696  0          ['conv4_block44_concat[0][0]',   \n",
      " ate)                           )                                 'conv4_block45_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block46_0_bn (BatchNorma  (None, 14, 14, 1696  6784       ['conv4_block45_concat[0][0]']   \n",
      " lization)                      )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block46_0_relu (Activati  (None, 14, 14, 1696  0          ['conv4_block46_0_bn[0][0]']     \n",
      " on)                            )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block46_1_conv (Conv2D)  (None, 14, 14, 128)  217088      ['conv4_block46_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block46_1_bn (BatchNorma  (None, 14, 14, 128)  512        ['conv4_block46_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block46_1_relu (Activati  (None, 14, 14, 128)  0          ['conv4_block46_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block46_2_conv (Conv2D)  (None, 14, 14, 32)   36864       ['conv4_block46_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block46_concat (Concaten  (None, 14, 14, 1728  0          ['conv4_block45_concat[0][0]',   \n",
      " ate)                           )                                 'conv4_block46_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block47_0_bn (BatchNorma  (None, 14, 14, 1728  6912       ['conv4_block46_concat[0][0]']   \n",
      " lization)                      )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block47_0_relu (Activati  (None, 14, 14, 1728  0          ['conv4_block47_0_bn[0][0]']     \n",
      " on)                            )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block47_1_conv (Conv2D)  (None, 14, 14, 128)  221184      ['conv4_block47_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block47_1_bn (BatchNorma  (None, 14, 14, 128)  512        ['conv4_block47_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block47_1_relu (Activati  (None, 14, 14, 128)  0          ['conv4_block47_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block47_2_conv (Conv2D)  (None, 14, 14, 32)   36864       ['conv4_block47_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block47_concat (Concaten  (None, 14, 14, 1760  0          ['conv4_block46_concat[0][0]',   \n",
      " ate)                           )                                 'conv4_block47_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block48_0_bn (BatchNorma  (None, 14, 14, 1760  7040       ['conv4_block47_concat[0][0]']   \n",
      " lization)                      )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block48_0_relu (Activati  (None, 14, 14, 1760  0          ['conv4_block48_0_bn[0][0]']     \n",
      " on)                            )                                                                 \n",
      "                                                                                                  \n",
      " conv4_block48_1_conv (Conv2D)  (None, 14, 14, 128)  225280      ['conv4_block48_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block48_1_bn (BatchNorma  (None, 14, 14, 128)  512        ['conv4_block48_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv4_block48_1_relu (Activati  (None, 14, 14, 128)  0          ['conv4_block48_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv4_block48_2_conv (Conv2D)  (None, 14, 14, 32)   36864       ['conv4_block48_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv4_block48_concat (Concaten  (None, 14, 14, 1792  0          ['conv4_block47_concat[0][0]',   \n",
      " ate)                           )                                 'conv4_block48_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " pool4_bn (BatchNormalization)  (None, 14, 14, 1792  7168        ['conv4_block48_concat[0][0]']   \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " pool4_relu (Activation)        (None, 14, 14, 1792  0           ['pool4_bn[0][0]']               \n",
      "                                )                                                                 \n",
      "                                                                                                  \n",
      " pool4_conv (Conv2D)            (None, 14, 14, 896)  1605632     ['pool4_relu[0][0]']             \n",
      "                                                                                                  \n",
      " pool4_pool (AveragePooling2D)  (None, 7, 7, 896)    0           ['pool4_conv[0][0]']             \n",
      "                                                                                                  \n",
      " conv5_block1_0_bn (BatchNormal  (None, 7, 7, 896)   3584        ['pool4_pool[0][0]']             \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv5_block1_0_relu (Activatio  (None, 7, 7, 896)   0           ['conv5_block1_0_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv5_block1_1_conv (Conv2D)   (None, 7, 7, 128)    114688      ['conv5_block1_0_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv5_block1_1_bn (BatchNormal  (None, 7, 7, 128)   512         ['conv5_block1_1_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv5_block1_1_relu (Activatio  (None, 7, 7, 128)   0           ['conv5_block1_1_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv5_block1_2_conv (Conv2D)   (None, 7, 7, 32)     36864       ['conv5_block1_1_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv5_block1_concat (Concatena  (None, 7, 7, 928)   0           ['pool4_pool[0][0]',             \n",
      " te)                                                              'conv5_block1_2_conv[0][0]']    \n",
      "                                                                                                  \n",
      " conv5_block2_0_bn (BatchNormal  (None, 7, 7, 928)   3712        ['conv5_block1_concat[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv5_block2_0_relu (Activatio  (None, 7, 7, 928)   0           ['conv5_block2_0_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv5_block2_1_conv (Conv2D)   (None, 7, 7, 128)    118784      ['conv5_block2_0_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv5_block2_1_bn (BatchNormal  (None, 7, 7, 128)   512         ['conv5_block2_1_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv5_block2_1_relu (Activatio  (None, 7, 7, 128)   0           ['conv5_block2_1_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv5_block2_2_conv (Conv2D)   (None, 7, 7, 32)     36864       ['conv5_block2_1_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv5_block2_concat (Concatena  (None, 7, 7, 960)   0           ['conv5_block1_concat[0][0]',    \n",
      " te)                                                              'conv5_block2_2_conv[0][0]']    \n",
      "                                                                                                  \n",
      " conv5_block3_0_bn (BatchNormal  (None, 7, 7, 960)   3840        ['conv5_block2_concat[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv5_block3_0_relu (Activatio  (None, 7, 7, 960)   0           ['conv5_block3_0_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv5_block3_1_conv (Conv2D)   (None, 7, 7, 128)    122880      ['conv5_block3_0_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv5_block3_1_bn (BatchNormal  (None, 7, 7, 128)   512         ['conv5_block3_1_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv5_block3_1_relu (Activatio  (None, 7, 7, 128)   0           ['conv5_block3_1_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv5_block3_2_conv (Conv2D)   (None, 7, 7, 32)     36864       ['conv5_block3_1_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv5_block3_concat (Concatena  (None, 7, 7, 992)   0           ['conv5_block2_concat[0][0]',    \n",
      " te)                                                              'conv5_block3_2_conv[0][0]']    \n",
      "                                                                                                  \n",
      " conv5_block4_0_bn (BatchNormal  (None, 7, 7, 992)   3968        ['conv5_block3_concat[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv5_block4_0_relu (Activatio  (None, 7, 7, 992)   0           ['conv5_block4_0_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv5_block4_1_conv (Conv2D)   (None, 7, 7, 128)    126976      ['conv5_block4_0_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv5_block4_1_bn (BatchNormal  (None, 7, 7, 128)   512         ['conv5_block4_1_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv5_block4_1_relu (Activatio  (None, 7, 7, 128)   0           ['conv5_block4_1_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv5_block4_2_conv (Conv2D)   (None, 7, 7, 32)     36864       ['conv5_block4_1_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv5_block4_concat (Concatena  (None, 7, 7, 1024)  0           ['conv5_block3_concat[0][0]',    \n",
      " te)                                                              'conv5_block4_2_conv[0][0]']    \n",
      "                                                                                                  \n",
      " conv5_block5_0_bn (BatchNormal  (None, 7, 7, 1024)  4096        ['conv5_block4_concat[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv5_block5_0_relu (Activatio  (None, 7, 7, 1024)  0           ['conv5_block5_0_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv5_block5_1_conv (Conv2D)   (None, 7, 7, 128)    131072      ['conv5_block5_0_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv5_block5_1_bn (BatchNormal  (None, 7, 7, 128)   512         ['conv5_block5_1_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv5_block5_1_relu (Activatio  (None, 7, 7, 128)   0           ['conv5_block5_1_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv5_block5_2_conv (Conv2D)   (None, 7, 7, 32)     36864       ['conv5_block5_1_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv5_block5_concat (Concatena  (None, 7, 7, 1056)  0           ['conv5_block4_concat[0][0]',    \n",
      " te)                                                              'conv5_block5_2_conv[0][0]']    \n",
      "                                                                                                  \n",
      " conv5_block6_0_bn (BatchNormal  (None, 7, 7, 1056)  4224        ['conv5_block5_concat[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv5_block6_0_relu (Activatio  (None, 7, 7, 1056)  0           ['conv5_block6_0_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv5_block6_1_conv (Conv2D)   (None, 7, 7, 128)    135168      ['conv5_block6_0_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv5_block6_1_bn (BatchNormal  (None, 7, 7, 128)   512         ['conv5_block6_1_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv5_block6_1_relu (Activatio  (None, 7, 7, 128)   0           ['conv5_block6_1_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv5_block6_2_conv (Conv2D)   (None, 7, 7, 32)     36864       ['conv5_block6_1_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv5_block6_concat (Concatena  (None, 7, 7, 1088)  0           ['conv5_block5_concat[0][0]',    \n",
      " te)                                                              'conv5_block6_2_conv[0][0]']    \n",
      "                                                                                                  \n",
      " conv5_block7_0_bn (BatchNormal  (None, 7, 7, 1088)  4352        ['conv5_block6_concat[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv5_block7_0_relu (Activatio  (None, 7, 7, 1088)  0           ['conv5_block7_0_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv5_block7_1_conv (Conv2D)   (None, 7, 7, 128)    139264      ['conv5_block7_0_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv5_block7_1_bn (BatchNormal  (None, 7, 7, 128)   512         ['conv5_block7_1_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv5_block7_1_relu (Activatio  (None, 7, 7, 128)   0           ['conv5_block7_1_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv5_block7_2_conv (Conv2D)   (None, 7, 7, 32)     36864       ['conv5_block7_1_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv5_block7_concat (Concatena  (None, 7, 7, 1120)  0           ['conv5_block6_concat[0][0]',    \n",
      " te)                                                              'conv5_block7_2_conv[0][0]']    \n",
      "                                                                                                  \n",
      " conv5_block8_0_bn (BatchNormal  (None, 7, 7, 1120)  4480        ['conv5_block7_concat[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv5_block8_0_relu (Activatio  (None, 7, 7, 1120)  0           ['conv5_block8_0_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv5_block8_1_conv (Conv2D)   (None, 7, 7, 128)    143360      ['conv5_block8_0_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv5_block8_1_bn (BatchNormal  (None, 7, 7, 128)   512         ['conv5_block8_1_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv5_block8_1_relu (Activatio  (None, 7, 7, 128)   0           ['conv5_block8_1_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv5_block8_2_conv (Conv2D)   (None, 7, 7, 32)     36864       ['conv5_block8_1_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv5_block8_concat (Concatena  (None, 7, 7, 1152)  0           ['conv5_block7_concat[0][0]',    \n",
      " te)                                                              'conv5_block8_2_conv[0][0]']    \n",
      "                                                                                                  \n",
      " conv5_block9_0_bn (BatchNormal  (None, 7, 7, 1152)  4608        ['conv5_block8_concat[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv5_block9_0_relu (Activatio  (None, 7, 7, 1152)  0           ['conv5_block9_0_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv5_block9_1_conv (Conv2D)   (None, 7, 7, 128)    147456      ['conv5_block9_0_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv5_block9_1_bn (BatchNormal  (None, 7, 7, 128)   512         ['conv5_block9_1_conv[0][0]']    \n",
      " ization)                                                                                         \n",
      "                                                                                                  \n",
      " conv5_block9_1_relu (Activatio  (None, 7, 7, 128)   0           ['conv5_block9_1_bn[0][0]']      \n",
      " n)                                                                                               \n",
      "                                                                                                  \n",
      " conv5_block9_2_conv (Conv2D)   (None, 7, 7, 32)     36864       ['conv5_block9_1_relu[0][0]']    \n",
      "                                                                                                  \n",
      " conv5_block9_concat (Concatena  (None, 7, 7, 1184)  0           ['conv5_block8_concat[0][0]',    \n",
      " te)                                                              'conv5_block9_2_conv[0][0]']    \n",
      "                                                                                                  \n",
      " conv5_block10_0_bn (BatchNorma  (None, 7, 7, 1184)  4736        ['conv5_block9_concat[0][0]']    \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv5_block10_0_relu (Activati  (None, 7, 7, 1184)  0           ['conv5_block10_0_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv5_block10_1_conv (Conv2D)  (None, 7, 7, 128)    151552      ['conv5_block10_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block10_1_bn (BatchNorma  (None, 7, 7, 128)   512         ['conv5_block10_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv5_block10_1_relu (Activati  (None, 7, 7, 128)   0           ['conv5_block10_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv5_block10_2_conv (Conv2D)  (None, 7, 7, 32)     36864       ['conv5_block10_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block10_concat (Concaten  (None, 7, 7, 1216)  0           ['conv5_block9_concat[0][0]',    \n",
      " ate)                                                             'conv5_block10_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block11_0_bn (BatchNorma  (None, 7, 7, 1216)  4864        ['conv5_block10_concat[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv5_block11_0_relu (Activati  (None, 7, 7, 1216)  0           ['conv5_block11_0_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv5_block11_1_conv (Conv2D)  (None, 7, 7, 128)    155648      ['conv5_block11_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block11_1_bn (BatchNorma  (None, 7, 7, 128)   512         ['conv5_block11_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv5_block11_1_relu (Activati  (None, 7, 7, 128)   0           ['conv5_block11_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv5_block11_2_conv (Conv2D)  (None, 7, 7, 32)     36864       ['conv5_block11_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block11_concat (Concaten  (None, 7, 7, 1248)  0           ['conv5_block10_concat[0][0]',   \n",
      " ate)                                                             'conv5_block11_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block12_0_bn (BatchNorma  (None, 7, 7, 1248)  4992        ['conv5_block11_concat[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv5_block12_0_relu (Activati  (None, 7, 7, 1248)  0           ['conv5_block12_0_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv5_block12_1_conv (Conv2D)  (None, 7, 7, 128)    159744      ['conv5_block12_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block12_1_bn (BatchNorma  (None, 7, 7, 128)   512         ['conv5_block12_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv5_block12_1_relu (Activati  (None, 7, 7, 128)   0           ['conv5_block12_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv5_block12_2_conv (Conv2D)  (None, 7, 7, 32)     36864       ['conv5_block12_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block12_concat (Concaten  (None, 7, 7, 1280)  0           ['conv5_block11_concat[0][0]',   \n",
      " ate)                                                             'conv5_block12_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block13_0_bn (BatchNorma  (None, 7, 7, 1280)  5120        ['conv5_block12_concat[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv5_block13_0_relu (Activati  (None, 7, 7, 1280)  0           ['conv5_block13_0_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv5_block13_1_conv (Conv2D)  (None, 7, 7, 128)    163840      ['conv5_block13_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block13_1_bn (BatchNorma  (None, 7, 7, 128)   512         ['conv5_block13_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv5_block13_1_relu (Activati  (None, 7, 7, 128)   0           ['conv5_block13_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv5_block13_2_conv (Conv2D)  (None, 7, 7, 32)     36864       ['conv5_block13_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block13_concat (Concaten  (None, 7, 7, 1312)  0           ['conv5_block12_concat[0][0]',   \n",
      " ate)                                                             'conv5_block13_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block14_0_bn (BatchNorma  (None, 7, 7, 1312)  5248        ['conv5_block13_concat[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv5_block14_0_relu (Activati  (None, 7, 7, 1312)  0           ['conv5_block14_0_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv5_block14_1_conv (Conv2D)  (None, 7, 7, 128)    167936      ['conv5_block14_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block14_1_bn (BatchNorma  (None, 7, 7, 128)   512         ['conv5_block14_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv5_block14_1_relu (Activati  (None, 7, 7, 128)   0           ['conv5_block14_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv5_block14_2_conv (Conv2D)  (None, 7, 7, 32)     36864       ['conv5_block14_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block14_concat (Concaten  (None, 7, 7, 1344)  0           ['conv5_block13_concat[0][0]',   \n",
      " ate)                                                             'conv5_block14_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block15_0_bn (BatchNorma  (None, 7, 7, 1344)  5376        ['conv5_block14_concat[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv5_block15_0_relu (Activati  (None, 7, 7, 1344)  0           ['conv5_block15_0_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv5_block15_1_conv (Conv2D)  (None, 7, 7, 128)    172032      ['conv5_block15_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block15_1_bn (BatchNorma  (None, 7, 7, 128)   512         ['conv5_block15_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv5_block15_1_relu (Activati  (None, 7, 7, 128)   0           ['conv5_block15_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv5_block15_2_conv (Conv2D)  (None, 7, 7, 32)     36864       ['conv5_block15_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block15_concat (Concaten  (None, 7, 7, 1376)  0           ['conv5_block14_concat[0][0]',   \n",
      " ate)                                                             'conv5_block15_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block16_0_bn (BatchNorma  (None, 7, 7, 1376)  5504        ['conv5_block15_concat[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv5_block16_0_relu (Activati  (None, 7, 7, 1376)  0           ['conv5_block16_0_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv5_block16_1_conv (Conv2D)  (None, 7, 7, 128)    176128      ['conv5_block16_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block16_1_bn (BatchNorma  (None, 7, 7, 128)   512         ['conv5_block16_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv5_block16_1_relu (Activati  (None, 7, 7, 128)   0           ['conv5_block16_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv5_block16_2_conv (Conv2D)  (None, 7, 7, 32)     36864       ['conv5_block16_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block16_concat (Concaten  (None, 7, 7, 1408)  0           ['conv5_block15_concat[0][0]',   \n",
      " ate)                                                             'conv5_block16_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block17_0_bn (BatchNorma  (None, 7, 7, 1408)  5632        ['conv5_block16_concat[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv5_block17_0_relu (Activati  (None, 7, 7, 1408)  0           ['conv5_block17_0_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv5_block17_1_conv (Conv2D)  (None, 7, 7, 128)    180224      ['conv5_block17_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block17_1_bn (BatchNorma  (None, 7, 7, 128)   512         ['conv5_block17_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv5_block17_1_relu (Activati  (None, 7, 7, 128)   0           ['conv5_block17_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv5_block17_2_conv (Conv2D)  (None, 7, 7, 32)     36864       ['conv5_block17_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block17_concat (Concaten  (None, 7, 7, 1440)  0           ['conv5_block16_concat[0][0]',   \n",
      " ate)                                                             'conv5_block17_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block18_0_bn (BatchNorma  (None, 7, 7, 1440)  5760        ['conv5_block17_concat[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv5_block18_0_relu (Activati  (None, 7, 7, 1440)  0           ['conv5_block18_0_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv5_block18_1_conv (Conv2D)  (None, 7, 7, 128)    184320      ['conv5_block18_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block18_1_bn (BatchNorma  (None, 7, 7, 128)   512         ['conv5_block18_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv5_block18_1_relu (Activati  (None, 7, 7, 128)   0           ['conv5_block18_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv5_block18_2_conv (Conv2D)  (None, 7, 7, 32)     36864       ['conv5_block18_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block18_concat (Concaten  (None, 7, 7, 1472)  0           ['conv5_block17_concat[0][0]',   \n",
      " ate)                                                             'conv5_block18_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block19_0_bn (BatchNorma  (None, 7, 7, 1472)  5888        ['conv5_block18_concat[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv5_block19_0_relu (Activati  (None, 7, 7, 1472)  0           ['conv5_block19_0_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv5_block19_1_conv (Conv2D)  (None, 7, 7, 128)    188416      ['conv5_block19_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block19_1_bn (BatchNorma  (None, 7, 7, 128)   512         ['conv5_block19_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv5_block19_1_relu (Activati  (None, 7, 7, 128)   0           ['conv5_block19_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv5_block19_2_conv (Conv2D)  (None, 7, 7, 32)     36864       ['conv5_block19_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block19_concat (Concaten  (None, 7, 7, 1504)  0           ['conv5_block18_concat[0][0]',   \n",
      " ate)                                                             'conv5_block19_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block20_0_bn (BatchNorma  (None, 7, 7, 1504)  6016        ['conv5_block19_concat[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv5_block20_0_relu (Activati  (None, 7, 7, 1504)  0           ['conv5_block20_0_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv5_block20_1_conv (Conv2D)  (None, 7, 7, 128)    192512      ['conv5_block20_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block20_1_bn (BatchNorma  (None, 7, 7, 128)   512         ['conv5_block20_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv5_block20_1_relu (Activati  (None, 7, 7, 128)   0           ['conv5_block20_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv5_block20_2_conv (Conv2D)  (None, 7, 7, 32)     36864       ['conv5_block20_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block20_concat (Concaten  (None, 7, 7, 1536)  0           ['conv5_block19_concat[0][0]',   \n",
      " ate)                                                             'conv5_block20_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block21_0_bn (BatchNorma  (None, 7, 7, 1536)  6144        ['conv5_block20_concat[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv5_block21_0_relu (Activati  (None, 7, 7, 1536)  0           ['conv5_block21_0_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv5_block21_1_conv (Conv2D)  (None, 7, 7, 128)    196608      ['conv5_block21_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block21_1_bn (BatchNorma  (None, 7, 7, 128)   512         ['conv5_block21_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv5_block21_1_relu (Activati  (None, 7, 7, 128)   0           ['conv5_block21_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv5_block21_2_conv (Conv2D)  (None, 7, 7, 32)     36864       ['conv5_block21_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block21_concat (Concaten  (None, 7, 7, 1568)  0           ['conv5_block20_concat[0][0]',   \n",
      " ate)                                                             'conv5_block21_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block22_0_bn (BatchNorma  (None, 7, 7, 1568)  6272        ['conv5_block21_concat[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv5_block22_0_relu (Activati  (None, 7, 7, 1568)  0           ['conv5_block22_0_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv5_block22_1_conv (Conv2D)  (None, 7, 7, 128)    200704      ['conv5_block22_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block22_1_bn (BatchNorma  (None, 7, 7, 128)   512         ['conv5_block22_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv5_block22_1_relu (Activati  (None, 7, 7, 128)   0           ['conv5_block22_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv5_block22_2_conv (Conv2D)  (None, 7, 7, 32)     36864       ['conv5_block22_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block22_concat (Concaten  (None, 7, 7, 1600)  0           ['conv5_block21_concat[0][0]',   \n",
      " ate)                                                             'conv5_block22_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block23_0_bn (BatchNorma  (None, 7, 7, 1600)  6400        ['conv5_block22_concat[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv5_block23_0_relu (Activati  (None, 7, 7, 1600)  0           ['conv5_block23_0_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv5_block23_1_conv (Conv2D)  (None, 7, 7, 128)    204800      ['conv5_block23_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block23_1_bn (BatchNorma  (None, 7, 7, 128)   512         ['conv5_block23_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv5_block23_1_relu (Activati  (None, 7, 7, 128)   0           ['conv5_block23_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv5_block23_2_conv (Conv2D)  (None, 7, 7, 32)     36864       ['conv5_block23_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block23_concat (Concaten  (None, 7, 7, 1632)  0           ['conv5_block22_concat[0][0]',   \n",
      " ate)                                                             'conv5_block23_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block24_0_bn (BatchNorma  (None, 7, 7, 1632)  6528        ['conv5_block23_concat[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv5_block24_0_relu (Activati  (None, 7, 7, 1632)  0           ['conv5_block24_0_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv5_block24_1_conv (Conv2D)  (None, 7, 7, 128)    208896      ['conv5_block24_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block24_1_bn (BatchNorma  (None, 7, 7, 128)   512         ['conv5_block24_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv5_block24_1_relu (Activati  (None, 7, 7, 128)   0           ['conv5_block24_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv5_block24_2_conv (Conv2D)  (None, 7, 7, 32)     36864       ['conv5_block24_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block24_concat (Concaten  (None, 7, 7, 1664)  0           ['conv5_block23_concat[0][0]',   \n",
      " ate)                                                             'conv5_block24_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block25_0_bn (BatchNorma  (None, 7, 7, 1664)  6656        ['conv5_block24_concat[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv5_block25_0_relu (Activati  (None, 7, 7, 1664)  0           ['conv5_block25_0_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv5_block25_1_conv (Conv2D)  (None, 7, 7, 128)    212992      ['conv5_block25_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block25_1_bn (BatchNorma  (None, 7, 7, 128)   512         ['conv5_block25_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv5_block25_1_relu (Activati  (None, 7, 7, 128)   0           ['conv5_block25_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv5_block25_2_conv (Conv2D)  (None, 7, 7, 32)     36864       ['conv5_block25_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block25_concat (Concaten  (None, 7, 7, 1696)  0           ['conv5_block24_concat[0][0]',   \n",
      " ate)                                                             'conv5_block25_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block26_0_bn (BatchNorma  (None, 7, 7, 1696)  6784        ['conv5_block25_concat[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv5_block26_0_relu (Activati  (None, 7, 7, 1696)  0           ['conv5_block26_0_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv5_block26_1_conv (Conv2D)  (None, 7, 7, 128)    217088      ['conv5_block26_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block26_1_bn (BatchNorma  (None, 7, 7, 128)   512         ['conv5_block26_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv5_block26_1_relu (Activati  (None, 7, 7, 128)   0           ['conv5_block26_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv5_block26_2_conv (Conv2D)  (None, 7, 7, 32)     36864       ['conv5_block26_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block26_concat (Concaten  (None, 7, 7, 1728)  0           ['conv5_block25_concat[0][0]',   \n",
      " ate)                                                             'conv5_block26_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block27_0_bn (BatchNorma  (None, 7, 7, 1728)  6912        ['conv5_block26_concat[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv5_block27_0_relu (Activati  (None, 7, 7, 1728)  0           ['conv5_block27_0_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv5_block27_1_conv (Conv2D)  (None, 7, 7, 128)    221184      ['conv5_block27_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block27_1_bn (BatchNorma  (None, 7, 7, 128)   512         ['conv5_block27_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv5_block27_1_relu (Activati  (None, 7, 7, 128)   0           ['conv5_block27_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv5_block27_2_conv (Conv2D)  (None, 7, 7, 32)     36864       ['conv5_block27_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block27_concat (Concaten  (None, 7, 7, 1760)  0           ['conv5_block26_concat[0][0]',   \n",
      " ate)                                                             'conv5_block27_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block28_0_bn (BatchNorma  (None, 7, 7, 1760)  7040        ['conv5_block27_concat[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv5_block28_0_relu (Activati  (None, 7, 7, 1760)  0           ['conv5_block28_0_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv5_block28_1_conv (Conv2D)  (None, 7, 7, 128)    225280      ['conv5_block28_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block28_1_bn (BatchNorma  (None, 7, 7, 128)   512         ['conv5_block28_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv5_block28_1_relu (Activati  (None, 7, 7, 128)   0           ['conv5_block28_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv5_block28_2_conv (Conv2D)  (None, 7, 7, 32)     36864       ['conv5_block28_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block28_concat (Concaten  (None, 7, 7, 1792)  0           ['conv5_block27_concat[0][0]',   \n",
      " ate)                                                             'conv5_block28_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block29_0_bn (BatchNorma  (None, 7, 7, 1792)  7168        ['conv5_block28_concat[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv5_block29_0_relu (Activati  (None, 7, 7, 1792)  0           ['conv5_block29_0_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv5_block29_1_conv (Conv2D)  (None, 7, 7, 128)    229376      ['conv5_block29_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block29_1_bn (BatchNorma  (None, 7, 7, 128)   512         ['conv5_block29_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv5_block29_1_relu (Activati  (None, 7, 7, 128)   0           ['conv5_block29_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv5_block29_2_conv (Conv2D)  (None, 7, 7, 32)     36864       ['conv5_block29_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block29_concat (Concaten  (None, 7, 7, 1824)  0           ['conv5_block28_concat[0][0]',   \n",
      " ate)                                                             'conv5_block29_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block30_0_bn (BatchNorma  (None, 7, 7, 1824)  7296        ['conv5_block29_concat[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv5_block30_0_relu (Activati  (None, 7, 7, 1824)  0           ['conv5_block30_0_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv5_block30_1_conv (Conv2D)  (None, 7, 7, 128)    233472      ['conv5_block30_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block30_1_bn (BatchNorma  (None, 7, 7, 128)   512         ['conv5_block30_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv5_block30_1_relu (Activati  (None, 7, 7, 128)   0           ['conv5_block30_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv5_block30_2_conv (Conv2D)  (None, 7, 7, 32)     36864       ['conv5_block30_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block30_concat (Concaten  (None, 7, 7, 1856)  0           ['conv5_block29_concat[0][0]',   \n",
      " ate)                                                             'conv5_block30_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block31_0_bn (BatchNorma  (None, 7, 7, 1856)  7424        ['conv5_block30_concat[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv5_block31_0_relu (Activati  (None, 7, 7, 1856)  0           ['conv5_block31_0_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv5_block31_1_conv (Conv2D)  (None, 7, 7, 128)    237568      ['conv5_block31_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block31_1_bn (BatchNorma  (None, 7, 7, 128)   512         ['conv5_block31_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv5_block31_1_relu (Activati  (None, 7, 7, 128)   0           ['conv5_block31_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv5_block31_2_conv (Conv2D)  (None, 7, 7, 32)     36864       ['conv5_block31_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block31_concat (Concaten  (None, 7, 7, 1888)  0           ['conv5_block30_concat[0][0]',   \n",
      " ate)                                                             'conv5_block31_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block32_0_bn (BatchNorma  (None, 7, 7, 1888)  7552        ['conv5_block31_concat[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv5_block32_0_relu (Activati  (None, 7, 7, 1888)  0           ['conv5_block32_0_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv5_block32_1_conv (Conv2D)  (None, 7, 7, 128)    241664      ['conv5_block32_0_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block32_1_bn (BatchNorma  (None, 7, 7, 128)   512         ['conv5_block32_1_conv[0][0]']   \n",
      " lization)                                                                                        \n",
      "                                                                                                  \n",
      " conv5_block32_1_relu (Activati  (None, 7, 7, 128)   0           ['conv5_block32_1_bn[0][0]']     \n",
      " on)                                                                                              \n",
      "                                                                                                  \n",
      " conv5_block32_2_conv (Conv2D)  (None, 7, 7, 32)     36864       ['conv5_block32_1_relu[0][0]']   \n",
      "                                                                                                  \n",
      " conv5_block32_concat (Concaten  (None, 7, 7, 1920)  0           ['conv5_block31_concat[0][0]',   \n",
      " ate)                                                             'conv5_block32_2_conv[0][0]']   \n",
      "                                                                                                  \n",
      " bn (BatchNormalization)        (None, 7, 7, 1920)   7680        ['conv5_block32_concat[0][0]']   \n",
      "                                                                                                  \n",
      " relu (Activation)              (None, 7, 7, 1920)   0           ['bn[0][0]']                     \n",
      "                                                                                                  \n",
      " avg_pool (GlobalAveragePooling  (None, 1920)        0           ['relu[0][0]']                   \n",
      " 2D)                                                                                              \n",
      "                                                                                                  \n",
      " predictions (Dense)            (None, 1000)         1921000     ['avg_pool[0][0]']               \n",
      "                                                                                                  \n",
      "==================================================================================================\n",
      "Total params: 20,242,984\n",
      "Trainable params: 20,013,928\n",
      "Non-trainable params: 229,056\n",
      "__________________________________________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "dense_net.summary() # Структура свёрточной нейросети"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5072c34a",
   "metadata": {
    "id": "5072c34a"
   },
   "source": [
    "**Добавление последнего слоя классификации классов**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ff78b0c4",
   "metadata": {
    "id": "ff78b0c4"
   },
   "outputs": [],
   "source": [
    "x = dense_net.layers[-1].output\n",
    "output = Dense(len(class_names), activation='softmax')(x) \n",
    "model = Model(inputs=dense_net.input, outputs=output)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c4c3b506",
   "metadata": {
    "id": "c4c3b506"
   },
   "source": [
    "**Отключение у первых 24 слоёв способность обучения**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "da210b72",
   "metadata": {
    "id": "da210b72"
   },
   "outputs": [],
   "source": [
    "for layer in model.layers[:-24]:\n",
    "    layer.trainable = False"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "018c06cb",
   "metadata": {
    "id": "018c06cb"
   },
   "source": [
    "**Настройка ранней остановки обучения и модели**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9196b2aa",
   "metadata": {
    "id": "9196b2aa"
   },
   "outputs": [],
   "source": [
    "early_stopping = keras.callbacks.EarlyStopping(\n",
    "    patience=10, \n",
    "    min_delta=0.001,\n",
    "    restore_best_weights=True, \n",
    ")\n",
    "\n",
    "model.compile(\n",
    "    optimizer='Adam', \n",
    "    loss='categorical_crossentropy',\n",
    "    metrics=['accuracy']\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c4b26bb5",
   "metadata": {
    "id": "c4b26bb5"
   },
   "source": [
    "**Отключение предупреждений у модели**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bec97864",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "bec97864",
    "outputId": "c6bd8999-15ac-4863-e3cb-80d907ce6fbe"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From <ipython-input-15-bdb3352f611a>:1: experimental_run_functions_eagerly (from tensorflow.python.eager.polymorphic_function.quarantine) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use `tf.config.run_functions_eagerly` instead of the experimental version.\n"
     ]
    }
   ],
   "source": [
    "tf.config.experimental_run_functions_eagerly(True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5b1b1964",
   "metadata": {
    "id": "5b1b1964"
   },
   "source": [
    "**Обучение модели**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2705d32d",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "2705d32d",
    "outputId": "aeb6c096-a920-4dce-ee60-85565b33c7e8"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/150\n",
      "79/79 [==============================] - 77s 823ms/step - loss: 1.5394 - accuracy: 0.4490 - val_loss: 1.4850 - val_accuracy: 0.4569\n",
      "Epoch 2/150\n",
      "79/79 [==============================] - 62s 783ms/step - loss: 1.4428 - accuracy: 0.4528 - val_loss: 1.4076 - val_accuracy: 0.4518\n",
      "Epoch 3/150\n",
      "79/79 [==============================] - 62s 784ms/step - loss: 1.3539 - accuracy: 0.5022 - val_loss: 1.3243 - val_accuracy: 0.5406\n",
      "Epoch 4/150\n",
      "79/79 [==============================] - 62s 785ms/step - loss: 1.2745 - accuracy: 0.5389 - val_loss: 1.2793 - val_accuracy: 0.5228\n",
      "Epoch 5/150\n",
      "79/79 [==============================] - 62s 787ms/step - loss: 1.2081 - accuracy: 0.5459 - val_loss: 1.2319 - val_accuracy: 0.5305\n",
      "Epoch 6/150\n",
      "79/79 [==============================] - 62s 784ms/step - loss: 1.1486 - accuracy: 0.5535 - val_loss: 1.2180 - val_accuracy: 0.5228\n",
      "Epoch 7/150\n",
      "79/79 [==============================] - 65s 820ms/step - loss: 1.1083 - accuracy: 0.5548 - val_loss: 1.1654 - val_accuracy: 0.5330\n",
      "Epoch 8/150\n",
      "79/79 [==============================] - 62s 780ms/step - loss: 1.0626 - accuracy: 0.5605 - val_loss: 1.1852 - val_accuracy: 0.4898\n",
      "Epoch 9/150\n",
      "79/79 [==============================] - 62s 785ms/step - loss: 1.0314 - accuracy: 0.5598 - val_loss: 1.1261 - val_accuracy: 0.5279\n",
      "Epoch 10/150\n",
      "79/79 [==============================] - 62s 780ms/step - loss: 1.0021 - accuracy: 0.5624 - val_loss: 1.1351 - val_accuracy: 0.5279\n",
      "Epoch 11/150\n",
      "79/79 [==============================] - 62s 782ms/step - loss: 0.9610 - accuracy: 0.5617 - val_loss: 1.1046 - val_accuracy: 0.5203\n",
      "Epoch 12/150\n",
      "79/79 [==============================] - 61s 775ms/step - loss: 0.9231 - accuracy: 0.6669 - val_loss: 1.1253 - val_accuracy: 0.5457\n",
      "Epoch 13/150\n",
      "79/79 [==============================] - 62s 787ms/step - loss: 0.8940 - accuracy: 0.6954 - val_loss: 1.1006 - val_accuracy: 0.5279\n",
      "Epoch 14/150\n",
      "79/79 [==============================] - 65s 821ms/step - loss: 0.8734 - accuracy: 0.7023 - val_loss: 1.0917 - val_accuracy: 0.5076\n",
      "Epoch 15/150\n",
      "79/79 [==============================] - 62s 780ms/step - loss: 0.8428 - accuracy: 0.7194 - val_loss: 1.1186 - val_accuracy: 0.5305\n",
      "Epoch 16/150\n",
      "79/79 [==============================] - 65s 820ms/step - loss: 0.8133 - accuracy: 0.7201 - val_loss: 1.1453 - val_accuracy: 0.5660\n",
      "Epoch 17/150\n",
      "79/79 [==============================] - 61s 778ms/step - loss: 0.7870 - accuracy: 0.7372 - val_loss: 1.1101 - val_accuracy: 0.5863\n",
      "Epoch 18/150\n",
      "79/79 [==============================] - 63s 793ms/step - loss: 0.7528 - accuracy: 0.7657 - val_loss: 1.0576 - val_accuracy: 0.6015\n",
      "Epoch 19/150\n",
      "79/79 [==============================] - 61s 779ms/step - loss: 0.7331 - accuracy: 0.7714 - val_loss: 1.0834 - val_accuracy: 0.5787\n",
      "Epoch 20/150\n",
      "79/79 [==============================] - 62s 779ms/step - loss: 0.7076 - accuracy: 0.7790 - val_loss: 1.0274 - val_accuracy: 0.6091\n",
      "Epoch 21/150\n",
      "79/79 [==============================] - 61s 777ms/step - loss: 0.6880 - accuracy: 0.7859 - val_loss: 1.0464 - val_accuracy: 0.5863\n",
      "Epoch 22/150\n",
      "79/79 [==============================] - 62s 781ms/step - loss: 0.6741 - accuracy: 0.7853 - val_loss: 1.0041 - val_accuracy: 0.6117\n",
      "Epoch 23/150\n",
      "79/79 [==============================] - 62s 786ms/step - loss: 0.6466 - accuracy: 0.8087 - val_loss: 1.0044 - val_accuracy: 0.6396\n",
      "Epoch 24/150\n",
      "79/79 [==============================] - 62s 787ms/step - loss: 0.6139 - accuracy: 0.8322 - val_loss: 0.9610 - val_accuracy: 0.6472\n",
      "Epoch 25/150\n",
      "79/79 [==============================] - 61s 775ms/step - loss: 0.5911 - accuracy: 0.8467 - val_loss: 1.0022 - val_accuracy: 0.6320\n",
      "Epoch 26/150\n",
      "79/79 [==============================] - 61s 778ms/step - loss: 0.5682 - accuracy: 0.8474 - val_loss: 1.0338 - val_accuracy: 0.5914\n",
      "Epoch 27/150\n",
      "79/79 [==============================] - 62s 781ms/step - loss: 0.5183 - accuracy: 0.8765 - val_loss: 1.0529 - val_accuracy: 0.6244\n",
      "Epoch 28/150\n",
      "79/79 [==============================] - 62s 784ms/step - loss: 0.4952 - accuracy: 0.8917 - val_loss: 0.9289 - val_accuracy: 0.6726\n",
      "Epoch 29/150\n",
      "79/79 [==============================] - 62s 779ms/step - loss: 0.4430 - accuracy: 0.9101 - val_loss: 0.9683 - val_accuracy: 0.6624\n",
      "Epoch 30/150\n",
      "79/79 [==============================] - 62s 783ms/step - loss: 0.4140 - accuracy: 0.9183 - val_loss: 0.9283 - val_accuracy: 0.6980\n",
      "Epoch 31/150\n",
      "79/79 [==============================] - 64s 812ms/step - loss: 0.3763 - accuracy: 0.9297 - val_loss: 0.9262 - val_accuracy: 0.6954\n",
      "Epoch 32/150\n",
      "79/79 [==============================] - 63s 794ms/step - loss: 0.3540 - accuracy: 0.9398 - val_loss: 0.9142 - val_accuracy: 0.6827\n",
      "Epoch 33/150\n",
      "79/79 [==============================] - 61s 778ms/step - loss: 0.3486 - accuracy: 0.9373 - val_loss: 1.0124 - val_accuracy: 0.6421\n",
      "Epoch 34/150\n",
      "79/79 [==============================] - 63s 794ms/step - loss: 0.3401 - accuracy: 0.9341 - val_loss: 0.8851 - val_accuracy: 0.7183\n",
      "Epoch 35/150\n",
      "79/79 [==============================] - 62s 784ms/step - loss: 0.3219 - accuracy: 0.9386 - val_loss: 1.0442 - val_accuracy: 0.6802\n",
      "Epoch 36/150\n",
      "79/79 [==============================] - 65s 817ms/step - loss: 0.3227 - accuracy: 0.9341 - val_loss: 0.9782 - val_accuracy: 0.6777\n",
      "Epoch 37/150\n",
      "79/79 [==============================] - 62s 790ms/step - loss: 0.2891 - accuracy: 0.9474 - val_loss: 0.8868 - val_accuracy: 0.7081\n",
      "Epoch 38/150\n",
      "79/79 [==============================] - 64s 817ms/step - loss: 0.2817 - accuracy: 0.9462 - val_loss: 0.9406 - val_accuracy: 0.6878\n",
      "Epoch 39/150\n",
      "79/79 [==============================] - 62s 783ms/step - loss: 0.2596 - accuracy: 0.9557 - val_loss: 0.9656 - val_accuracy: 0.6751\n",
      "Epoch 40/150\n",
      "79/79 [==============================] - 61s 776ms/step - loss: 0.2510 - accuracy: 0.9557 - val_loss: 0.9482 - val_accuracy: 0.6802\n",
      "Epoch 41/150\n",
      "79/79 [==============================] - 62s 783ms/step - loss: 0.2590 - accuracy: 0.9493 - val_loss: 1.0468 - val_accuracy: 0.6574\n",
      "Epoch 42/150\n",
      "79/79 [==============================] - 62s 792ms/step - loss: 0.2754 - accuracy: 0.9417 - val_loss: 0.9633 - val_accuracy: 0.6853\n",
      "Epoch 43/150\n",
      "79/79 [==============================] - 62s 783ms/step - loss: 0.2609 - accuracy: 0.9474 - val_loss: 1.0155 - val_accuracy: 0.6853\n",
      "Epoch 44/150\n",
      "79/79 [==============================] - 62s 790ms/step - loss: 0.2406 - accuracy: 0.9550 - val_loss: 1.0877 - val_accuracy: 0.6523\n",
      "CPU times: user 46min 6s, sys: 34.8 s, total: 46min 40s\n",
      "Wall time: 51min 14s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "# Обучаем модель\n",
    "history = model.fit(\n",
    "    x=train_batches,\n",
    "    validation_data=valid_batches,\n",
    "    epochs=150,\n",
    "    callbacks=[early_stopping]\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c5c311a1",
   "metadata": {
    "id": "c5c311a1"
   },
   "source": [
    "**Просмотр потерь и точности на тренировочных и валидационных данных**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4e606197",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 904
    },
    "id": "4e606197",
    "outputId": "ee2e2af3-8977-43b2-8b3e-b61d3a2c39e9"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'Accuracy'}>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "history_df = pd.DataFrame(history.history)\n",
    "history_df.loc[:, ['loss', 'val_loss']].plot(title=\"Cross-entropy\")\n",
    "history_df.loc[:, ['accuracy', 'val_accuracy']].plot(title=\"Accuracy\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8b476c26",
   "metadata": {},
   "source": [
    "Вывод по графикам:\n",
    "\n",
    "    После 32 эпохи модель начала переобучаться"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a1857405",
   "metadata": {
    "id": "a1857405"
   },
   "source": [
    "**Точность модели на тестовой выборке**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7fa97084",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "7fa97084",
    "outputId": "0aed43d8-9caa-4519-c5d6-42833c9b04c9"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "11/11 [==============================] - 4s 387ms/step - loss: 0.9027 - accuracy: 0.7108\n",
      "Accuracy: 71.08%\n"
     ]
    }
   ],
   "source": [
    "scores = model.evaluate(test_batches)\n",
    "print(f'Accuracy: {round((scores[1]*100), 2)}%')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "347a5bc1",
   "metadata": {},
   "source": [
    "Точность модели составляет 71.08%, что является не плохим результатом"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e306bce0",
   "metadata": {
    "id": "e306bce0"
   },
   "source": [
    "**Сохранение модели**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "99ac4836",
   "metadata": {
    "id": "99ac4836"
   },
   "outputs": [],
   "source": [
    "model.save('my_model.h5')"
   ]
  }
 ],
 "metadata": {
  "accelerator": "GPU",
  "colab": {
   "gpuType": "T4",
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}