C_Fast_Feature_Extraction_InceptionResNet_V2_1.ipynb

{
 "cells": [
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "Entreno de un ConvNet Inception ResNet V2 preentrenado con Imagenet y\n",
    "entrenando conjunto de datos pequeño\n",
    "Conjunto de datos de 4 clases\n",
    "Utilizaremos un conjunto de datos reducido:\n",
    "- Conjunto de entrenamiento: 1.000 muestras x clase \n",
    "- Conjunto de validación: 300 muestras x clase\n",
    "- Conjunto de test: 300 muestras x clase\n",
    "El conjunto de datos: balanced_dataset\n",
    "contiene tres carpetas, train, validation y test, cada una con 4 clases"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n",
      "  from ._conv import register_converters as _register_converters\n",
      "Using TensorFlow backend.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "__________________________________________________________________________________________________\n",
      "Layer (type)                    Output Shape         Param #     Connected to                     \n",
      "==================================================================================================\n",
      "input_1 (InputLayer)            (None, 299, 299, 3)  0                                            \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_1 (Conv2D)               (None, 149, 149, 32) 896         input_1[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_2 (Conv2D)               (None, 147, 147, 32) 9248        conv2d_1[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_3 (Conv2D)               (None, 147, 147, 64) 18496       conv2d_2[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "max_pooling2d_1 (MaxPooling2D)  (None, 73, 73, 64)   0           conv2d_3[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_4 (Conv2D)               (None, 73, 73, 96)   55392       conv2d_3[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "merge_1 (Merge)                 (None, 73, 73, 160)  0           max_pooling2d_1[0][0]            \n",
      "                                                                 conv2d_4[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_7 (Conv2D)               (None, 73, 73, 64)   10304       merge_1[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_8 (Conv2D)               (None, 73, 73, 64)   28736       conv2d_7[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_5 (Conv2D)               (None, 73, 73, 64)   10304       merge_1[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_9 (Conv2D)               (None, 73, 73, 64)   28736       conv2d_8[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_6 (Conv2D)               (None, 71, 71, 96)   55392       conv2d_5[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_10 (Conv2D)              (None, 71, 71, 96)   55392       conv2d_9[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "merge_2 (Merge)                 (None, 71, 71, 192)  0           conv2d_6[0][0]                   \n",
      "                                                                 conv2d_10[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "max_pooling2d_2 (MaxPooling2D)  (None, 35, 35, 192)  0           merge_2[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_11 (Conv2D)              (None, 35, 35, 192)  331968      merge_2[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "merge_3 (Merge)                 (None, 35, 35, 384)  0           max_pooling2d_2[0][0]            \n",
      "                                                                 conv2d_11[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_1 (BatchNor (None, 35, 35, 384)  1536        merge_3[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "activation_1 (Activation)       (None, 35, 35, 384)  0           batch_normalization_1[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_15 (Conv2D)              (None, 35, 35, 32)   12320       activation_1[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_13 (Conv2D)              (None, 35, 35, 32)   12320       activation_1[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_16 (Conv2D)              (None, 35, 35, 48)   13872       conv2d_15[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_12 (Conv2D)              (None, 35, 35, 32)   12320       activation_1[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_14 (Conv2D)              (None, 35, 35, 32)   9248        conv2d_13[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_17 (Conv2D)              (None, 35, 35, 64)   27712       conv2d_16[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "merge_4 (Merge)                 (None, 35, 35, 128)  0           conv2d_12[0][0]                  \n",
      "                                                                 conv2d_14[0][0]                  \n",
      "                                                                 conv2d_17[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_18 (Conv2D)              (None, 35, 35, 384)  49536       merge_4[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "lambda_1 (Lambda)               (None, 35, 35, 384)  0           conv2d_18[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "merge_5 (Merge)                 (None, 35, 35, 384)  0           activation_1[0][0]               \n",
      "                                                                 lambda_1[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_2 (BatchNor (None, 35, 35, 384)  1536        merge_5[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "activation_2 (Activation)       (None, 35, 35, 384)  0           batch_normalization_2[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_22 (Conv2D)              (None, 35, 35, 32)   12320       activation_2[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_20 (Conv2D)              (None, 35, 35, 32)   12320       activation_2[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_23 (Conv2D)              (None, 35, 35, 48)   13872       conv2d_22[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_19 (Conv2D)              (None, 35, 35, 32)   12320       activation_2[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_21 (Conv2D)              (None, 35, 35, 32)   9248        conv2d_20[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_24 (Conv2D)              (None, 35, 35, 64)   27712       conv2d_23[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "merge_6 (Merge)                 (None, 35, 35, 128)  0           conv2d_19[0][0]                  \n",
      "                                                                 conv2d_21[0][0]                  \n",
      "                                                                 conv2d_24[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_25 (Conv2D)              (None, 35, 35, 384)  49536       merge_6[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "lambda_2 (Lambda)               (None, 35, 35, 384)  0           conv2d_25[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "merge_7 (Merge)                 (None, 35, 35, 384)  0           activation_2[0][0]               \n",
      "                                                                 lambda_2[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_3 (BatchNor (None, 35, 35, 384)  1536        merge_7[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "activation_3 (Activation)       (None, 35, 35, 384)  0           batch_normalization_3[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_29 (Conv2D)              (None, 35, 35, 32)   12320       activation_3[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_27 (Conv2D)              (None, 35, 35, 32)   12320       activation_3[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_30 (Conv2D)              (None, 35, 35, 48)   13872       conv2d_29[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_26 (Conv2D)              (None, 35, 35, 32)   12320       activation_3[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_28 (Conv2D)              (None, 35, 35, 32)   9248        conv2d_27[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_31 (Conv2D)              (None, 35, 35, 64)   27712       conv2d_30[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "merge_8 (Merge)                 (None, 35, 35, 128)  0           conv2d_26[0][0]                  \n",
      "                                                                 conv2d_28[0][0]                  \n",
      "                                                                 conv2d_31[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_32 (Conv2D)              (None, 35, 35, 384)  49536       merge_8[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "lambda_3 (Lambda)               (None, 35, 35, 384)  0           conv2d_32[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "merge_9 (Merge)                 (None, 35, 35, 384)  0           activation_3[0][0]               \n",
      "                                                                 lambda_3[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_4 (BatchNor (None, 35, 35, 384)  1536        merge_9[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "activation_4 (Activation)       (None, 35, 35, 384)  0           batch_normalization_4[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_36 (Conv2D)              (None, 35, 35, 32)   12320       activation_4[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_34 (Conv2D)              (None, 35, 35, 32)   12320       activation_4[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_37 (Conv2D)              (None, 35, 35, 48)   13872       conv2d_36[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_33 (Conv2D)              (None, 35, 35, 32)   12320       activation_4[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_35 (Conv2D)              (None, 35, 35, 32)   9248        conv2d_34[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_38 (Conv2D)              (None, 35, 35, 64)   27712       conv2d_37[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "merge_10 (Merge)                (None, 35, 35, 128)  0           conv2d_33[0][0]                  \n",
      "                                                                 conv2d_35[0][0]                  \n",
      "                                                                 conv2d_38[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_39 (Conv2D)              (None, 35, 35, 384)  49536       merge_10[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_4 (Lambda)               (None, 35, 35, 384)  0           conv2d_39[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "merge_11 (Merge)                (None, 35, 35, 384)  0           activation_4[0][0]               \n",
      "                                                                 lambda_4[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_5 (BatchNor (None, 35, 35, 384)  1536        merge_11[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_5 (Activation)       (None, 35, 35, 384)  0           batch_normalization_5[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_43 (Conv2D)              (None, 35, 35, 32)   12320       activation_5[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_41 (Conv2D)              (None, 35, 35, 32)   12320       activation_5[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_44 (Conv2D)              (None, 35, 35, 48)   13872       conv2d_43[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_40 (Conv2D)              (None, 35, 35, 32)   12320       activation_5[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_42 (Conv2D)              (None, 35, 35, 32)   9248        conv2d_41[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_45 (Conv2D)              (None, 35, 35, 64)   27712       conv2d_44[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "merge_12 (Merge)                (None, 35, 35, 128)  0           conv2d_40[0][0]                  \n",
      "                                                                 conv2d_42[0][0]                  \n",
      "                                                                 conv2d_45[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_46 (Conv2D)              (None, 35, 35, 384)  49536       merge_12[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_5 (Lambda)               (None, 35, 35, 384)  0           conv2d_46[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "merge_13 (Merge)                (None, 35, 35, 384)  0           activation_5[0][0]               \n",
      "                                                                 lambda_5[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_6 (BatchNor (None, 35, 35, 384)  1536        merge_13[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_6 (Activation)       (None, 35, 35, 384)  0           batch_normalization_6[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_50 (Conv2D)              (None, 35, 35, 32)   12320       activation_6[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_48 (Conv2D)              (None, 35, 35, 32)   12320       activation_6[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_51 (Conv2D)              (None, 35, 35, 48)   13872       conv2d_50[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_47 (Conv2D)              (None, 35, 35, 32)   12320       activation_6[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_49 (Conv2D)              (None, 35, 35, 32)   9248        conv2d_48[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_52 (Conv2D)              (None, 35, 35, 64)   27712       conv2d_51[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "merge_14 (Merge)                (None, 35, 35, 128)  0           conv2d_47[0][0]                  \n",
      "                                                                 conv2d_49[0][0]                  \n",
      "                                                                 conv2d_52[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_53 (Conv2D)              (None, 35, 35, 384)  49536       merge_14[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_6 (Lambda)               (None, 35, 35, 384)  0           conv2d_53[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "merge_15 (Merge)                (None, 35, 35, 384)  0           activation_6[0][0]               \n",
      "                                                                 lambda_6[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_7 (BatchNor (None, 35, 35, 384)  1536        merge_15[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_7 (Activation)       (None, 35, 35, 384)  0           batch_normalization_7[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_57 (Conv2D)              (None, 35, 35, 32)   12320       activation_7[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_55 (Conv2D)              (None, 35, 35, 32)   12320       activation_7[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_58 (Conv2D)              (None, 35, 35, 48)   13872       conv2d_57[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_54 (Conv2D)              (None, 35, 35, 32)   12320       activation_7[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_56 (Conv2D)              (None, 35, 35, 32)   9248        conv2d_55[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_59 (Conv2D)              (None, 35, 35, 64)   27712       conv2d_58[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "merge_16 (Merge)                (None, 35, 35, 128)  0           conv2d_54[0][0]                  \n",
      "                                                                 conv2d_56[0][0]                  \n",
      "                                                                 conv2d_59[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_60 (Conv2D)              (None, 35, 35, 384)  49536       merge_16[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_7 (Lambda)               (None, 35, 35, 384)  0           conv2d_60[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "merge_17 (Merge)                (None, 35, 35, 384)  0           activation_7[0][0]               \n",
      "                                                                 lambda_7[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_8 (BatchNor (None, 35, 35, 384)  1536        merge_17[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_8 (Activation)       (None, 35, 35, 384)  0           batch_normalization_8[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_64 (Conv2D)              (None, 35, 35, 32)   12320       activation_8[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_62 (Conv2D)              (None, 35, 35, 32)   12320       activation_8[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_65 (Conv2D)              (None, 35, 35, 48)   13872       conv2d_64[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_61 (Conv2D)              (None, 35, 35, 32)   12320       activation_8[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_63 (Conv2D)              (None, 35, 35, 32)   9248        conv2d_62[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_66 (Conv2D)              (None, 35, 35, 64)   27712       conv2d_65[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "merge_18 (Merge)                (None, 35, 35, 128)  0           conv2d_61[0][0]                  \n",
      "                                                                 conv2d_63[0][0]                  \n",
      "                                                                 conv2d_66[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_67 (Conv2D)              (None, 35, 35, 384)  49536       merge_18[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_8 (Lambda)               (None, 35, 35, 384)  0           conv2d_67[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "merge_19 (Merge)                (None, 35, 35, 384)  0           activation_8[0][0]               \n",
      "                                                                 lambda_8[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_9 (BatchNor (None, 35, 35, 384)  1536        merge_19[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_9 (Activation)       (None, 35, 35, 384)  0           batch_normalization_9[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_71 (Conv2D)              (None, 35, 35, 32)   12320       activation_9[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_69 (Conv2D)              (None, 35, 35, 32)   12320       activation_9[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_72 (Conv2D)              (None, 35, 35, 48)   13872       conv2d_71[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_68 (Conv2D)              (None, 35, 35, 32)   12320       activation_9[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_70 (Conv2D)              (None, 35, 35, 32)   9248        conv2d_69[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_73 (Conv2D)              (None, 35, 35, 64)   27712       conv2d_72[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "merge_20 (Merge)                (None, 35, 35, 128)  0           conv2d_68[0][0]                  \n",
      "                                                                 conv2d_70[0][0]                  \n",
      "                                                                 conv2d_73[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_74 (Conv2D)              (None, 35, 35, 384)  49536       merge_20[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_9 (Lambda)               (None, 35, 35, 384)  0           conv2d_74[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "merge_21 (Merge)                (None, 35, 35, 384)  0           activation_9[0][0]               \n",
      "                                                                 lambda_9[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_10 (BatchNo (None, 35, 35, 384)  1536        merge_21[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_10 (Activation)      (None, 35, 35, 384)  0           batch_normalization_10[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_78 (Conv2D)              (None, 35, 35, 32)   12320       activation_10[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_76 (Conv2D)              (None, 35, 35, 32)   12320       activation_10[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_79 (Conv2D)              (None, 35, 35, 48)   13872       conv2d_78[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_75 (Conv2D)              (None, 35, 35, 32)   12320       activation_10[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_77 (Conv2D)              (None, 35, 35, 32)   9248        conv2d_76[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_80 (Conv2D)              (None, 35, 35, 64)   27712       conv2d_79[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "merge_22 (Merge)                (None, 35, 35, 128)  0           conv2d_75[0][0]                  \n",
      "                                                                 conv2d_77[0][0]                  \n",
      "                                                                 conv2d_80[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_81 (Conv2D)              (None, 35, 35, 384)  49536       merge_22[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_10 (Lambda)              (None, 35, 35, 384)  0           conv2d_81[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "merge_23 (Merge)                (None, 35, 35, 384)  0           activation_10[0][0]              \n",
      "                                                                 lambda_10[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_11 (BatchNo (None, 35, 35, 384)  1536        merge_23[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_11 (Activation)      (None, 35, 35, 384)  0           batch_normalization_11[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_83 (Conv2D)              (None, 35, 35, 256)  98560       activation_11[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_84 (Conv2D)              (None, 35, 35, 256)  590080      conv2d_83[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "max_pooling2d_3 (MaxPooling2D)  (None, 17, 17, 384)  0           activation_11[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_82 (Conv2D)              (None, 17, 17, 384)  1327488     activation_11[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_85 (Conv2D)              (None, 17, 17, 384)  885120      conv2d_84[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "merge_24 (Merge)                (None, 17, 17, 1152) 0           max_pooling2d_3[0][0]            \n",
      "                                                                 conv2d_82[0][0]                  \n",
      "                                                                 conv2d_85[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_12 (BatchNo (None, 17, 17, 1152) 68          merge_24[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_12 (Activation)      (None, 17, 17, 1152) 0           batch_normalization_12[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_87 (Conv2D)              (None, 17, 17, 128)  147584      activation_12[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_88 (Conv2D)              (None, 17, 17, 160)  143520      conv2d_87[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_86 (Conv2D)              (None, 17, 17, 192)  221376      activation_12[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_89 (Conv2D)              (None, 17, 17, 192)  215232      conv2d_88[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "merge_25 (Merge)                (None, 17, 17, 384)  0           conv2d_86[0][0]                  \n",
      "                                                                 conv2d_89[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_90 (Conv2D)              (None, 17, 17, 1152) 443520      merge_25[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_11 (Lambda)              (None, 17, 17, 1152) 0           conv2d_90[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "merge_26 (Merge)                (None, 17, 17, 1152) 0           activation_12[0][0]              \n",
      "                                                                 lambda_11[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_13 (BatchNo (None, 17, 17, 1152) 4608        merge_26[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_13 (Activation)      (None, 17, 17, 1152) 0           batch_normalization_13[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_92 (Conv2D)              (None, 17, 17, 128)  147584      activation_13[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_93 (Conv2D)              (None, 17, 17, 160)  143520      conv2d_92[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_91 (Conv2D)              (None, 17, 17, 192)  221376      activation_13[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_94 (Conv2D)              (None, 17, 17, 192)  215232      conv2d_93[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "merge_27 (Merge)                (None, 17, 17, 384)  0           conv2d_91[0][0]                  \n",
      "                                                                 conv2d_94[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_95 (Conv2D)              (None, 17, 17, 1152) 443520      merge_27[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_12 (Lambda)              (None, 17, 17, 1152) 0           conv2d_95[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "merge_28 (Merge)                (None, 17, 17, 1152) 0           activation_13[0][0]              \n",
      "                                                                 lambda_12[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_14 (BatchNo (None, 17, 17, 1152) 4608        merge_28[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_14 (Activation)      (None, 17, 17, 1152) 0           batch_normalization_14[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_97 (Conv2D)              (None, 17, 17, 128)  147584      activation_14[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_98 (Conv2D)              (None, 17, 17, 160)  143520      conv2d_97[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_96 (Conv2D)              (None, 17, 17, 192)  221376      activation_14[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_99 (Conv2D)              (None, 17, 17, 192)  215232      conv2d_98[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "merge_29 (Merge)                (None, 17, 17, 384)  0           conv2d_96[0][0]                  \n",
      "                                                                 conv2d_99[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_100 (Conv2D)             (None, 17, 17, 1152) 443520      merge_29[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_13 (Lambda)              (None, 17, 17, 1152) 0           conv2d_100[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_30 (Merge)                (None, 17, 17, 1152) 0           activation_14[0][0]              \n",
      "                                                                 lambda_13[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_15 (BatchNo (None, 17, 17, 1152) 4608        merge_30[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_15 (Activation)      (None, 17, 17, 1152) 0           batch_normalization_15[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_102 (Conv2D)             (None, 17, 17, 128)  147584      activation_15[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_103 (Conv2D)             (None, 17, 17, 160)  143520      conv2d_102[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_101 (Conv2D)             (None, 17, 17, 192)  221376      activation_15[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_104 (Conv2D)             (None, 17, 17, 192)  215232      conv2d_103[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_31 (Merge)                (None, 17, 17, 384)  0           conv2d_101[0][0]                 \n",
      "                                                                 conv2d_104[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_105 (Conv2D)             (None, 17, 17, 1152) 443520      merge_31[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_14 (Lambda)              (None, 17, 17, 1152) 0           conv2d_105[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_32 (Merge)                (None, 17, 17, 1152) 0           activation_15[0][0]              \n",
      "                                                                 lambda_14[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_16 (BatchNo (None, 17, 17, 1152) 4608        merge_32[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_16 (Activation)      (None, 17, 17, 1152) 0           batch_normalization_16[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_107 (Conv2D)             (None, 17, 17, 128)  147584      activation_16[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_108 (Conv2D)             (None, 17, 17, 160)  143520      conv2d_107[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_106 (Conv2D)             (None, 17, 17, 192)  221376      activation_16[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_109 (Conv2D)             (None, 17, 17, 192)  215232      conv2d_108[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_33 (Merge)                (None, 17, 17, 384)  0           conv2d_106[0][0]                 \n",
      "                                                                 conv2d_109[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_110 (Conv2D)             (None, 17, 17, 1152) 443520      merge_33[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_15 (Lambda)              (None, 17, 17, 1152) 0           conv2d_110[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_34 (Merge)                (None, 17, 17, 1152) 0           activation_16[0][0]              \n",
      "                                                                 lambda_15[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_17 (BatchNo (None, 17, 17, 1152) 4608        merge_34[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_17 (Activation)      (None, 17, 17, 1152) 0           batch_normalization_17[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_112 (Conv2D)             (None, 17, 17, 128)  147584      activation_17[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_113 (Conv2D)             (None, 17, 17, 160)  143520      conv2d_112[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_111 (Conv2D)             (None, 17, 17, 192)  221376      activation_17[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_114 (Conv2D)             (None, 17, 17, 192)  215232      conv2d_113[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_35 (Merge)                (None, 17, 17, 384)  0           conv2d_111[0][0]                 \n",
      "                                                                 conv2d_114[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_115 (Conv2D)             (None, 17, 17, 1152) 443520      merge_35[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_16 (Lambda)              (None, 17, 17, 1152) 0           conv2d_115[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_36 (Merge)                (None, 17, 17, 1152) 0           activation_17[0][0]              \n",
      "                                                                 lambda_16[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_18 (BatchNo (None, 17, 17, 1152) 4608        merge_36[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_18 (Activation)      (None, 17, 17, 1152) 0           batch_normalization_18[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_117 (Conv2D)             (None, 17, 17, 128)  147584      activation_18[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_118 (Conv2D)             (None, 17, 17, 160)  143520      conv2d_117[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_116 (Conv2D)             (None, 17, 17, 192)  221376      activation_18[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_119 (Conv2D)             (None, 17, 17, 192)  215232      conv2d_118[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_37 (Merge)                (None, 17, 17, 384)  0           conv2d_116[0][0]                 \n",
      "                                                                 conv2d_119[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_120 (Conv2D)             (None, 17, 17, 1152) 443520      merge_37[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_17 (Lambda)              (None, 17, 17, 1152) 0           conv2d_120[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_38 (Merge)                (None, 17, 17, 1152) 0           activation_18[0][0]              \n",
      "                                                                 lambda_17[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_19 (BatchNo (None, 17, 17, 1152) 4608        merge_38[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_19 (Activation)      (None, 17, 17, 1152) 0           batch_normalization_19[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_122 (Conv2D)             (None, 17, 17, 128)  147584      activation_19[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_123 (Conv2D)             (None, 17, 17, 160)  143520      conv2d_122[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_121 (Conv2D)             (None, 17, 17, 192)  221376      activation_19[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_124 (Conv2D)             (None, 17, 17, 192)  215232      conv2d_123[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_39 (Merge)                (None, 17, 17, 384)  0           conv2d_121[0][0]                 \n",
      "                                                                 conv2d_124[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_125 (Conv2D)             (None, 17, 17, 1152) 443520      merge_39[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_18 (Lambda)              (None, 17, 17, 1152) 0           conv2d_125[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_40 (Merge)                (None, 17, 17, 1152) 0           activation_19[0][0]              \n",
      "                                                                 lambda_18[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_20 (BatchNo (None, 17, 17, 1152) 4608        merge_40[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_20 (Activation)      (None, 17, 17, 1152) 0           batch_normalization_20[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_127 (Conv2D)             (None, 17, 17, 128)  147584      activation_20[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_128 (Conv2D)             (None, 17, 17, 160)  143520      conv2d_127[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_126 (Conv2D)             (None, 17, 17, 192)  221376      activation_20[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_129 (Conv2D)             (None, 17, 17, 192)  215232      conv2d_128[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_41 (Merge)                (None, 17, 17, 384)  0           conv2d_126[0][0]                 \n",
      "                                                                 conv2d_129[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_130 (Conv2D)             (None, 17, 17, 1152) 443520      merge_41[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_19 (Lambda)              (None, 17, 17, 1152) 0           conv2d_130[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_42 (Merge)                (None, 17, 17, 1152) 0           activation_20[0][0]              \n",
      "                                                                 lambda_19[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_21 (BatchNo (None, 17, 17, 1152) 4608        merge_42[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_21 (Activation)      (None, 17, 17, 1152) 0           batch_normalization_21[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_132 (Conv2D)             (None, 17, 17, 128)  147584      activation_21[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_133 (Conv2D)             (None, 17, 17, 160)  143520      conv2d_132[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_131 (Conv2D)             (None, 17, 17, 192)  221376      activation_21[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_134 (Conv2D)             (None, 17, 17, 192)  215232      conv2d_133[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_43 (Merge)                (None, 17, 17, 384)  0           conv2d_131[0][0]                 \n",
      "                                                                 conv2d_134[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_135 (Conv2D)             (None, 17, 17, 1152) 443520      merge_43[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_20 (Lambda)              (None, 17, 17, 1152) 0           conv2d_135[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_44 (Merge)                (None, 17, 17, 1152) 0           activation_21[0][0]              \n",
      "                                                                 lambda_20[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_22 (BatchNo (None, 17, 17, 1152) 4608        merge_44[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_22 (Activation)      (None, 17, 17, 1152) 0           batch_normalization_22[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_137 (Conv2D)             (None, 17, 17, 128)  147584      activation_22[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_138 (Conv2D)             (None, 17, 17, 160)  143520      conv2d_137[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_136 (Conv2D)             (None, 17, 17, 192)  221376      activation_22[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_139 (Conv2D)             (None, 17, 17, 192)  215232      conv2d_138[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_45 (Merge)                (None, 17, 17, 384)  0           conv2d_136[0][0]                 \n",
      "                                                                 conv2d_139[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_140 (Conv2D)             (None, 17, 17, 1152) 443520      merge_45[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_21 (Lambda)              (None, 17, 17, 1152) 0           conv2d_140[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_46 (Merge)                (None, 17, 17, 1152) 0           activation_22[0][0]              \n",
      "                                                                 lambda_21[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_23 (BatchNo (None, 17, 17, 1152) 4608        merge_46[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_23 (Activation)      (None, 17, 17, 1152) 0           batch_normalization_23[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_142 (Conv2D)             (None, 17, 17, 128)  147584      activation_23[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_143 (Conv2D)             (None, 17, 17, 160)  143520      conv2d_142[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_141 (Conv2D)             (None, 17, 17, 192)  221376      activation_23[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_144 (Conv2D)             (None, 17, 17, 192)  215232      conv2d_143[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_47 (Merge)                (None, 17, 17, 384)  0           conv2d_141[0][0]                 \n",
      "                                                                 conv2d_144[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_145 (Conv2D)             (None, 17, 17, 1152) 443520      merge_47[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_22 (Lambda)              (None, 17, 17, 1152) 0           conv2d_145[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_48 (Merge)                (None, 17, 17, 1152) 0           activation_23[0][0]              \n",
      "                                                                 lambda_22[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_24 (BatchNo (None, 17, 17, 1152) 4608        merge_48[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_24 (Activation)      (None, 17, 17, 1152) 0           batch_normalization_24[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_147 (Conv2D)             (None, 17, 17, 128)  147584      activation_24[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_148 (Conv2D)             (None, 17, 17, 160)  143520      conv2d_147[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_146 (Conv2D)             (None, 17, 17, 192)  221376      activation_24[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_149 (Conv2D)             (None, 17, 17, 192)  215232      conv2d_148[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_49 (Merge)                (None, 17, 17, 384)  0           conv2d_146[0][0]                 \n",
      "                                                                 conv2d_149[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_150 (Conv2D)             (None, 17, 17, 1152) 443520      merge_49[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_23 (Lambda)              (None, 17, 17, 1152) 0           conv2d_150[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_50 (Merge)                (None, 17, 17, 1152) 0           activation_24[0][0]              \n",
      "                                                                 lambda_23[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_25 (BatchNo (None, 17, 17, 1152) 4608        merge_50[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_25 (Activation)      (None, 17, 17, 1152) 0           batch_normalization_25[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_152 (Conv2D)             (None, 17, 17, 128)  147584      activation_25[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_153 (Conv2D)             (None, 17, 17, 160)  143520      conv2d_152[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_151 (Conv2D)             (None, 17, 17, 192)  221376      activation_25[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_154 (Conv2D)             (None, 17, 17, 192)  215232      conv2d_153[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_51 (Merge)                (None, 17, 17, 384)  0           conv2d_151[0][0]                 \n",
      "                                                                 conv2d_154[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_155 (Conv2D)             (None, 17, 17, 1152) 443520      merge_51[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_24 (Lambda)              (None, 17, 17, 1152) 0           conv2d_155[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_52 (Merge)                (None, 17, 17, 1152) 0           activation_25[0][0]              \n",
      "                                                                 lambda_24[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_26 (BatchNo (None, 17, 17, 1152) 4608        merge_52[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_26 (Activation)      (None, 17, 17, 1152) 0           batch_normalization_26[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_157 (Conv2D)             (None, 17, 17, 128)  147584      activation_26[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_158 (Conv2D)             (None, 17, 17, 160)  143520      conv2d_157[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_156 (Conv2D)             (None, 17, 17, 192)  221376      activation_26[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_159 (Conv2D)             (None, 17, 17, 192)  215232      conv2d_158[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_53 (Merge)                (None, 17, 17, 384)  0           conv2d_156[0][0]                 \n",
      "                                                                 conv2d_159[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_160 (Conv2D)             (None, 17, 17, 1152) 443520      merge_53[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_25 (Lambda)              (None, 17, 17, 1152) 0           conv2d_160[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_54 (Merge)                (None, 17, 17, 1152) 0           activation_26[0][0]              \n",
      "                                                                 lambda_25[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_27 (BatchNo (None, 17, 17, 1152) 4608        merge_54[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_27 (Activation)      (None, 17, 17, 1152) 0           batch_normalization_27[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_162 (Conv2D)             (None, 17, 17, 128)  147584      activation_27[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_163 (Conv2D)             (None, 17, 17, 160)  143520      conv2d_162[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_161 (Conv2D)             (None, 17, 17, 192)  221376      activation_27[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_164 (Conv2D)             (None, 17, 17, 192)  215232      conv2d_163[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_55 (Merge)                (None, 17, 17, 384)  0           conv2d_161[0][0]                 \n",
      "                                                                 conv2d_164[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_165 (Conv2D)             (None, 17, 17, 1152) 443520      merge_55[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_26 (Lambda)              (None, 17, 17, 1152) 0           conv2d_165[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_56 (Merge)                (None, 17, 17, 1152) 0           activation_27[0][0]              \n",
      "                                                                 lambda_26[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_28 (BatchNo (None, 17, 17, 1152) 4608        merge_56[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_28 (Activation)      (None, 17, 17, 1152) 0           batch_normalization_28[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_167 (Conv2D)             (None, 17, 17, 128)  147584      activation_28[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_168 (Conv2D)             (None, 17, 17, 160)  143520      conv2d_167[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_166 (Conv2D)             (None, 17, 17, 192)  221376      activation_28[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_169 (Conv2D)             (None, 17, 17, 192)  215232      conv2d_168[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_57 (Merge)                (None, 17, 17, 384)  0           conv2d_166[0][0]                 \n",
      "                                                                 conv2d_169[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_170 (Conv2D)             (None, 17, 17, 1152) 443520      merge_57[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_27 (Lambda)              (None, 17, 17, 1152) 0           conv2d_170[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_58 (Merge)                (None, 17, 17, 1152) 0           activation_28[0][0]              \n",
      "                                                                 lambda_27[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_29 (BatchNo (None, 17, 17, 1152) 4608        merge_58[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_29 (Activation)      (None, 17, 17, 1152) 0           batch_normalization_29[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_172 (Conv2D)             (None, 17, 17, 128)  147584      activation_29[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_173 (Conv2D)             (None, 17, 17, 160)  143520      conv2d_172[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_171 (Conv2D)             (None, 17, 17, 192)  221376      activation_29[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_174 (Conv2D)             (None, 17, 17, 192)  215232      conv2d_173[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_59 (Merge)                (None, 17, 17, 384)  0           conv2d_171[0][0]                 \n",
      "                                                                 conv2d_174[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_175 (Conv2D)             (None, 17, 17, 1152) 443520      merge_59[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_28 (Lambda)              (None, 17, 17, 1152) 0           conv2d_175[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_60 (Merge)                (None, 17, 17, 1152) 0           activation_29[0][0]              \n",
      "                                                                 lambda_28[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_30 (BatchNo (None, 17, 17, 1152) 4608        merge_60[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_30 (Activation)      (None, 17, 17, 1152) 0           batch_normalization_30[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_177 (Conv2D)             (None, 17, 17, 128)  147584      activation_30[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_178 (Conv2D)             (None, 17, 17, 160)  143520      conv2d_177[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_176 (Conv2D)             (None, 17, 17, 192)  221376      activation_30[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_179 (Conv2D)             (None, 17, 17, 192)  215232      conv2d_178[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_61 (Merge)                (None, 17, 17, 384)  0           conv2d_176[0][0]                 \n",
      "                                                                 conv2d_179[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_180 (Conv2D)             (None, 17, 17, 1152) 443520      merge_61[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_29 (Lambda)              (None, 17, 17, 1152) 0           conv2d_180[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_62 (Merge)                (None, 17, 17, 1152) 0           activation_30[0][0]              \n",
      "                                                                 lambda_29[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_31 (BatchNo (None, 17, 17, 1152) 4608        merge_62[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_31 (Activation)      (None, 17, 17, 1152) 0           batch_normalization_31[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_182 (Conv2D)             (None, 17, 17, 128)  147584      activation_31[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_183 (Conv2D)             (None, 17, 17, 160)  143520      conv2d_182[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_181 (Conv2D)             (None, 17, 17, 192)  221376      activation_31[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_184 (Conv2D)             (None, 17, 17, 192)  215232      conv2d_183[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_63 (Merge)                (None, 17, 17, 384)  0           conv2d_181[0][0]                 \n",
      "                                                                 conv2d_184[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_185 (Conv2D)             (None, 17, 17, 1152) 443520      merge_63[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_30 (Lambda)              (None, 17, 17, 1152) 0           conv2d_185[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_64 (Merge)                (None, 17, 17, 1152) 0           activation_31[0][0]              \n",
      "                                                                 lambda_30[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_32 (BatchNo (None, 17, 17, 1152) 4608        merge_64[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_32 (Activation)      (None, 17, 17, 1152) 0           batch_normalization_32[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_192 (Conv2D)             (None, 17, 17, 256)  295168      activation_32[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_188 (Conv2D)             (None, 17, 17, 256)  295168      activation_32[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_190 (Conv2D)             (None, 17, 17, 256)  295168      activation_32[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_193 (Conv2D)             (None, 17, 17, 288)  663840      conv2d_192[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "max_pooling2d_4 (MaxPooling2D)  (None, 8, 8, 1152)   0           activation_32[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_189 (Conv2D)             (None, 8, 8, 384)    885120      conv2d_188[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_191 (Conv2D)             (None, 8, 8, 288)    663840      conv2d_190[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_194 (Conv2D)             (None, 8, 8, 320)    829760      conv2d_193[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_65 (Merge)                (None, 8, 8, 2144)   0           max_pooling2d_4[0][0]            \n",
      "                                                                 conv2d_189[0][0]                 \n",
      "                                                                 conv2d_191[0][0]                 \n",
      "                                                                 conv2d_194[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_33 (BatchNo (None, 8, 8, 2144)   8576        merge_65[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_33 (Activation)      (None, 8, 8, 2144)   0           batch_normalization_33[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_196 (Conv2D)             (None, 8, 8, 192)    411840      activation_33[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_197 (Conv2D)             (None, 8, 8, 224)    129248      conv2d_196[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_195 (Conv2D)             (None, 8, 8, 192)    411840      activation_33[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_198 (Conv2D)             (None, 8, 8, 256)    172288      conv2d_197[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_66 (Merge)                (None, 8, 8, 448)    0           conv2d_195[0][0]                 \n",
      "                                                                 conv2d_198[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_199 (Conv2D)             (None, 8, 8, 2144)   962656      merge_66[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_31 (Lambda)              (None, 8, 8, 2144)   0           conv2d_199[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_67 (Merge)                (None, 8, 8, 2144)   0           activation_33[0][0]              \n",
      "                                                                 lambda_31[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_34 (BatchNo (None, 8, 8, 2144)   8576        merge_67[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_34 (Activation)      (None, 8, 8, 2144)   0           batch_normalization_34[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_201 (Conv2D)             (None, 8, 8, 192)    411840      activation_34[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_202 (Conv2D)             (None, 8, 8, 224)    129248      conv2d_201[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_200 (Conv2D)             (None, 8, 8, 192)    411840      activation_34[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_203 (Conv2D)             (None, 8, 8, 256)    172288      conv2d_202[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_68 (Merge)                (None, 8, 8, 448)    0           conv2d_200[0][0]                 \n",
      "                                                                 conv2d_203[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_204 (Conv2D)             (None, 8, 8, 2144)   962656      merge_68[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_32 (Lambda)              (None, 8, 8, 2144)   0           conv2d_204[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_69 (Merge)                (None, 8, 8, 2144)   0           activation_34[0][0]              \n",
      "                                                                 lambda_32[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_35 (BatchNo (None, 8, 8, 2144)   8576        merge_69[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_35 (Activation)      (None, 8, 8, 2144)   0           batch_normalization_35[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_206 (Conv2D)             (None, 8, 8, 192)    411840      activation_35[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_207 (Conv2D)             (None, 8, 8, 224)    129248      conv2d_206[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_205 (Conv2D)             (None, 8, 8, 192)    411840      activation_35[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_208 (Conv2D)             (None, 8, 8, 256)    172288      conv2d_207[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_70 (Merge)                (None, 8, 8, 448)    0           conv2d_205[0][0]                 \n",
      "                                                                 conv2d_208[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_209 (Conv2D)             (None, 8, 8, 2144)   962656      merge_70[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_33 (Lambda)              (None, 8, 8, 2144)   0           conv2d_209[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_71 (Merge)                (None, 8, 8, 2144)   0           activation_35[0][0]              \n",
      "                                                                 lambda_33[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_36 (BatchNo (None, 8, 8, 2144)   8576        merge_71[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_36 (Activation)      (None, 8, 8, 2144)   0           batch_normalization_36[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_211 (Conv2D)             (None, 8, 8, 192)    411840      activation_36[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_212 (Conv2D)             (None, 8, 8, 224)    129248      conv2d_211[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_210 (Conv2D)             (None, 8, 8, 192)    411840      activation_36[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_213 (Conv2D)             (None, 8, 8, 256)    172288      conv2d_212[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_72 (Merge)                (None, 8, 8, 448)    0           conv2d_210[0][0]                 \n",
      "                                                                 conv2d_213[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_214 (Conv2D)             (None, 8, 8, 2144)   962656      merge_72[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_34 (Lambda)              (None, 8, 8, 2144)   0           conv2d_214[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_73 (Merge)                (None, 8, 8, 2144)   0           activation_36[0][0]              \n",
      "                                                                 lambda_34[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_37 (BatchNo (None, 8, 8, 2144)   8576        merge_73[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_37 (Activation)      (None, 8, 8, 2144)   0           batch_normalization_37[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_216 (Conv2D)             (None, 8, 8, 192)    411840      activation_37[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_217 (Conv2D)             (None, 8, 8, 224)    129248      conv2d_216[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_215 (Conv2D)             (None, 8, 8, 192)    411840      activation_37[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_218 (Conv2D)             (None, 8, 8, 256)    172288      conv2d_217[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_74 (Merge)                (None, 8, 8, 448)    0           conv2d_215[0][0]                 \n",
      "                                                                 conv2d_218[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_219 (Conv2D)             (None, 8, 8, 2144)   962656      merge_74[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_35 (Lambda)              (None, 8, 8, 2144)   0           conv2d_219[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_75 (Merge)                (None, 8, 8, 2144)   0           activation_37[0][0]              \n",
      "                                                                 lambda_35[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_38 (BatchNo (None, 8, 8, 2144)   8576        merge_75[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_38 (Activation)      (None, 8, 8, 2144)   0           batch_normalization_38[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_221 (Conv2D)             (None, 8, 8, 192)    411840      activation_38[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_222 (Conv2D)             (None, 8, 8, 224)    129248      conv2d_221[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_220 (Conv2D)             (None, 8, 8, 192)    411840      activation_38[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_223 (Conv2D)             (None, 8, 8, 256)    172288      conv2d_222[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_76 (Merge)                (None, 8, 8, 448)    0           conv2d_220[0][0]                 \n",
      "                                                                 conv2d_223[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_224 (Conv2D)             (None, 8, 8, 2144)   962656      merge_76[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_36 (Lambda)              (None, 8, 8, 2144)   0           conv2d_224[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_77 (Merge)                (None, 8, 8, 2144)   0           activation_38[0][0]              \n",
      "                                                                 lambda_36[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_39 (BatchNo (None, 8, 8, 2144)   8576        merge_77[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_39 (Activation)      (None, 8, 8, 2144)   0           batch_normalization_39[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_226 (Conv2D)             (None, 8, 8, 192)    411840      activation_39[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_227 (Conv2D)             (None, 8, 8, 224)    129248      conv2d_226[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_225 (Conv2D)             (None, 8, 8, 192)    411840      activation_39[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_228 (Conv2D)             (None, 8, 8, 256)    172288      conv2d_227[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_78 (Merge)                (None, 8, 8, 448)    0           conv2d_225[0][0]                 \n",
      "                                                                 conv2d_228[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_229 (Conv2D)             (None, 8, 8, 2144)   962656      merge_78[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_37 (Lambda)              (None, 8, 8, 2144)   0           conv2d_229[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_79 (Merge)                (None, 8, 8, 2144)   0           activation_39[0][0]              \n",
      "                                                                 lambda_37[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_40 (BatchNo (None, 8, 8, 2144)   8576        merge_79[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_40 (Activation)      (None, 8, 8, 2144)   0           batch_normalization_40[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_231 (Conv2D)             (None, 8, 8, 192)    411840      activation_40[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_232 (Conv2D)             (None, 8, 8, 224)    129248      conv2d_231[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_230 (Conv2D)             (None, 8, 8, 192)    411840      activation_40[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_233 (Conv2D)             (None, 8, 8, 256)    172288      conv2d_232[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_80 (Merge)                (None, 8, 8, 448)    0           conv2d_230[0][0]                 \n",
      "                                                                 conv2d_233[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_234 (Conv2D)             (None, 8, 8, 2144)   962656      merge_80[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_38 (Lambda)              (None, 8, 8, 2144)   0           conv2d_234[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_81 (Merge)                (None, 8, 8, 2144)   0           activation_40[0][0]              \n",
      "                                                                 lambda_38[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_41 (BatchNo (None, 8, 8, 2144)   8576        merge_81[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_41 (Activation)      (None, 8, 8, 2144)   0           batch_normalization_41[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_236 (Conv2D)             (None, 8, 8, 192)    411840      activation_41[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_237 (Conv2D)             (None, 8, 8, 224)    129248      conv2d_236[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_235 (Conv2D)             (None, 8, 8, 192)    411840      activation_41[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_238 (Conv2D)             (None, 8, 8, 256)    172288      conv2d_237[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_82 (Merge)                (None, 8, 8, 448)    0           conv2d_235[0][0]                 \n",
      "                                                                 conv2d_238[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_239 (Conv2D)             (None, 8, 8, 2144)   962656      merge_82[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_39 (Lambda)              (None, 8, 8, 2144)   0           conv2d_239[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_83 (Merge)                (None, 8, 8, 2144)   0           activation_41[0][0]              \n",
      "                                                                 lambda_39[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_42 (BatchNo (None, 8, 8, 2144)   8576        merge_83[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_42 (Activation)      (None, 8, 8, 2144)   0           batch_normalization_42[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_241 (Conv2D)             (None, 8, 8, 192)    411840      activation_42[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_242 (Conv2D)             (None, 8, 8, 224)    129248      conv2d_241[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_240 (Conv2D)             (None, 8, 8, 192)    411840      activation_42[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_243 (Conv2D)             (None, 8, 8, 256)    172288      conv2d_242[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_84 (Merge)                (None, 8, 8, 448)    0           conv2d_240[0][0]                 \n",
      "                                                                 conv2d_243[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_244 (Conv2D)             (None, 8, 8, 2144)   962656      merge_84[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_40 (Lambda)              (None, 8, 8, 2144)   0           conv2d_244[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "merge_85 (Merge)                (None, 8, 8, 2144)   0           activation_42[0][0]              \n",
      "                                                                 lambda_40[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_43 (BatchNo (None, 8, 8, 2144)   8576        merge_85[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_43 (Activation)      (None, 8, 8, 2144)   0           batch_normalization_43[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "average_pooling2d_1 (AveragePoo (None, 5, 5, 1152)   0           activation_32[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "average_pooling2d_2 (AveragePoo (None, 1, 1, 2144)   0           activation_43[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_186 (Conv2D)             (None, 5, 5, 128)    147584      average_pooling2d_1[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "dropout_1 (Dropout)             (None, 1, 1, 2144)   0           average_pooling2d_2[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_187 (Conv2D)             (None, 1, 1, 768)    2458368     conv2d_186[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "flatten_2 (Flatten)             (None, 2144)         0           dropout_1[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "flatten_1 (Flatten)             (None, 768)          0           conv2d_187[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "dense_2 (Dense)                 (None, 1001)         2147145     flatten_2[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "dense_1 (Dense)                 (None, 1001)         769769      flatten_1[0][0]                  \n",
      "==================================================================================================\n",
      "Total params: 58,837,142\n",
      "Trainable params: 58,735,412\n",
      "Non-trainable params: 101,730\n",
      "__________________________________________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "##########CREATE MODEL INCEPTIONResNet V2#######################################\n",
    "from keras.layers import Input, merge, Dropout, Dense, Lambda, Flatten, Activation\n",
    "from keras.layers.convolutional import MaxPooling2D, Convolution2D, AveragePooling2D\n",
    "from keras.layers.normalization import BatchNormalization\n",
    "from keras.models import Model\n",
    "\n",
    "from keras import backend as K\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "\"\"\"\n",
    "Implementation of Inception-Residual Network v1 [Inception Network v4 Paper](http://arxiv.org/pdf/1602.07261v1.pdf) in Keras.\n",
    "\n",
    "Some additional details:\n",
    "[1] Each of the A, B and C blocks have a 'scale_residual' parameter.\n",
    "    The scale residual parameter is according to the paper. It is however turned OFF by default.\n",
    "\n",
    "    Simply setting 'scale=True' in the create_inception_resnet_v2() method will add scaling.\n",
    "\n",
    "[2] There were minor inconsistencies with filter size in both B and C blocks.\n",
    "\n",
    "    In the B blocks: 'ir_conv' nb of filters  is given as 1154, however input size is 1152.\n",
    "    This causes inconsistencies in the merge-add mode, therefore the 'ir_conv' filter size\n",
    "    is reduced to 1152 to match input size.\n",
    "\n",
    "    In the C blocks: 'ir_conv' nb of filter is given as 2048, however input size is 2144.\n",
    "    This causes inconsistencies in the merge-add mode, therefore the 'ir_conv' filter size\n",
    "    is increased to 2144 to match input size.\n",
    "\n",
    "    Currently trying to find a proper solution with original nb of filters.\n",
    "\n",
    "[3] In the stem function, the last Convolutional2D layer has 384 filters instead of the original 256.\n",
    "    This is to correctly match the nb of filters in 'ir_conv' of the next A blocks.\n",
    "\"\"\"\n",
    "\n",
    "def inception_resnet_stem(input):\n",
    "    if K.image_dim_ordering() == \"th\":\n",
    "        channel_axis = 1\n",
    "    else:\n",
    "        channel_axis = -1\n",
    "\n",
    "    # Input Shape is 299 x 299 x 3 (th) or 3 x 299 x 299 (th)\n",
    "    c = Convolution2D(32, 3, 3, activation='relu', subsample=(2, 2))(input)\n",
    "    c = Convolution2D(32, 3, 3, activation='relu', )(c)\n",
    "    c = Convolution2D(64, 3, 3, activation='relu', border_mode='same')(c)\n",
    "\n",
    "    c1 = MaxPooling2D((3, 3), strides=(2, 2))(c)\n",
    "    c2 = Convolution2D(96, 3, 3, activation='relu', subsample=(2, 2))(c)\n",
    "\n",
    "    m = merge([c1, c2], mode='concat', concat_axis=channel_axis)\n",
    "\n",
    "    c1 = Convolution2D(64, 1, 1, activation='relu', border_mode='same')(m)\n",
    "    c1 = Convolution2D(96, 3, 3, activation='relu', )(c1)\n",
    "\n",
    "    c2 = Convolution2D(64, 1, 1, activation='relu', border_mode='same')(m)\n",
    "    c2 = Convolution2D(64, 7, 1, activation='relu', border_mode='same')(c2)\n",
    "    c2 = Convolution2D(64, 1, 7, activation='relu', border_mode='same')(c2)\n",
    "    c2 = Convolution2D(96, 3, 3, activation='relu', border_mode='valid')(c2)\n",
    "\n",
    "    m2 = merge([c1, c2], mode='concat', concat_axis=channel_axis)\n",
    "\n",
    "    p1 = MaxPooling2D((3, 3), strides=(2, 2), )(m2)\n",
    "    p2 = Convolution2D(192, 3, 3, activation='relu', subsample=(2, 2))(m2)\n",
    "\n",
    "    m3 = merge([p1, p2], mode='concat', concat_axis=channel_axis)\n",
    "    m3 = BatchNormalization(axis=channel_axis)(m3)\n",
    "    m3 = Activation('relu')(m3)\n",
    "    return m3\n",
    "\n",
    "def inception_resnet_v2_A(input, scale_residual=True):\n",
    "    if K.image_dim_ordering() == \"th\":\n",
    "        channel_axis = 1\n",
    "    else:\n",
    "        channel_axis = -1\n",
    "\n",
    "    # Input is relu activation\n",
    "    init = input\n",
    "\n",
    "    ir1 = Convolution2D(32, 1, 1, activation='relu', border_mode='same')(input)\n",
    "\n",
    "    ir2 = Convolution2D(32, 1, 1, activation='relu', border_mode='same')(input)\n",
    "    ir2 = Convolution2D(32, 3, 3, activation='relu', border_mode='same')(ir2)\n",
    "\n",
    "    ir3 = Convolution2D(32, 1, 1, activation='relu', border_mode='same')(input)\n",
    "    ir3 = Convolution2D(48, 3, 3, activation='relu', border_mode='same')(ir3)\n",
    "    ir3 = Convolution2D(64, 3, 3, activation='relu', border_mode='same')(ir3)\n",
    "\n",
    "    ir_merge = merge([ir1, ir2, ir3], concat_axis=channel_axis, mode='concat')\n",
    "\n",
    "    ir_conv = Convolution2D(384, 1, 1, activation='linear', border_mode='same')(ir_merge)\n",
    "    if scale_residual: ir_conv = Lambda(lambda x: x * 0.1)(ir_conv)\n",
    "\n",
    "    out = merge([init, ir_conv], mode='sum')\n",
    "    out = BatchNormalization(axis=channel_axis)(out)\n",
    "    out = Activation(\"relu\")(out)\n",
    "    return out\n",
    "\n",
    "def inception_resnet_v2_B(input, scale_residual=True):\n",
    "    if K.image_dim_ordering() == \"th\":\n",
    "        channel_axis = 1\n",
    "    else:\n",
    "        channel_axis = -1\n",
    "\n",
    "    # Input is relu activation\n",
    "    init = input\n",
    "\n",
    "    ir1 = Convolution2D(192, 1, 1, activation='relu', border_mode='same')(input)\n",
    "\n",
    "    ir2 = Convolution2D(128, 1, 1, activation='relu', border_mode='same')(input)\n",
    "    ir2 = Convolution2D(160, 1, 7, activation='relu', border_mode='same')(ir2)\n",
    "    ir2 = Convolution2D(192, 7, 1, activation='relu', border_mode='same')(ir2)\n",
    "\n",
    "    ir_merge = merge([ir1, ir2], mode='concat', concat_axis=channel_axis)\n",
    "\n",
    "    ir_conv = Convolution2D(1152, 1, 1, activation='linear', border_mode='same')(ir_merge)\n",
    "    if scale_residual: ir_conv = Lambda(lambda x: x * 0.1)(ir_conv)\n",
    "\n",
    "    out = merge([init, ir_conv], mode='sum')\n",
    "    out = BatchNormalization(axis=channel_axis)(out)\n",
    "    out = Activation(\"relu\")(out)\n",
    "    return out\n",
    "\n",
    "def inception_resnet_v2_C(input, scale_residual=True):\n",
    "    if K.image_dim_ordering() == \"th\":\n",
    "        channel_axis = 1\n",
    "    else:\n",
    "        channel_axis = -1\n",
    "\n",
    "    # Input is relu activation\n",
    "    init = input\n",
    "\n",
    "    ir1 = Convolution2D(192, 1, 1, activation='relu', border_mode='same')(input)\n",
    "\n",
    "    ir2 = Convolution2D(192, 1, 1, activation='relu', border_mode='same')(input)\n",
    "    ir2 = Convolution2D(224, 1, 3, activation='relu', border_mode='same')(ir2)\n",
    "    ir2 = Convolution2D(256, 3, 1, activation='relu', border_mode='same')(ir2)\n",
    "\n",
    "    ir_merge = merge([ir1, ir2], mode='concat', concat_axis=channel_axis)\n",
    "\n",
    "    ir_conv = Convolution2D(2144, 1, 1, activation='linear', border_mode='same')(ir_merge)\n",
    "    if scale_residual: ir_conv = Lambda(lambda x: x * 0.1)(ir_conv)\n",
    "\n",
    "    out = merge([init, ir_conv], mode='sum')\n",
    "    out = BatchNormalization(axis=channel_axis)(out)\n",
    "    out = Activation(\"relu\")(out)\n",
    "    return out\n",
    "\n",
    "\n",
    "def reduction_A(input, k=192, l=224, m=256, n=384):\n",
    "    if K.image_dim_ordering() == \"th\":\n",
    "        channel_axis = 1\n",
    "    else:\n",
    "        channel_axis = -1\n",
    "\n",
    "    r1 = MaxPooling2D((3,3), strides=(2,2))(input)\n",
    "\n",
    "    r2 = Convolution2D(n, 3, 3, activation='relu', subsample=(2,2))(input)\n",
    "\n",
    "    r3 = Convolution2D(k, 1, 1, activation='relu', border_mode='same')(input)\n",
    "    r3 = Convolution2D(l, 3, 3, activation='relu', border_mode='same')(r3)\n",
    "    r3 = Convolution2D(m, 3, 3, activation='relu', subsample=(2,2))(r3)\n",
    "\n",
    "    m = merge([r1, r2, r3], mode='concat', concat_axis=channel_axis)\n",
    "    m = BatchNormalization(axis=1)(m)\n",
    "    m = Activation('relu')(m)\n",
    "    return m\n",
    "\n",
    "\n",
    "def reduction_resnet_v2_B(input):\n",
    "    if K.image_dim_ordering() == \"th\":\n",
    "        channel_axis = 1\n",
    "    else:\n",
    "        channel_axis = -1\n",
    "\n",
    "    r1 = MaxPooling2D((3,3), strides=(2,2), border_mode='valid')(input)\n",
    "\n",
    "    r2 = Convolution2D(256, 1, 1, activation='relu', border_mode='same')(input)\n",
    "    r2 = Convolution2D(384, 3, 3, activation='relu', subsample=(2,2))(r2)\n",
    "\n",
    "    r3 = Convolution2D(256, 1, 1, activation='relu', border_mode='same')(input)\n",
    "    r3 = Convolution2D(288, 3, 3, activation='relu', subsample=(2, 2))(r3)\n",
    "\n",
    "    r4 = Convolution2D(256, 1, 1, activation='relu', border_mode='same')(input)\n",
    "    r4 = Convolution2D(288, 3, 3, activation='relu', border_mode='same')(r4)\n",
    "    r4 = Convolution2D(320, 3, 3, activation='relu', subsample=(2, 2))(r4)\n",
    "\n",
    "    m = merge([r1, r2, r3, r4], concat_axis=channel_axis, mode='concat')\n",
    "    m = BatchNormalization(axis=channel_axis)(m)\n",
    "    m = Activation('relu')(m)\n",
    "    return m\n",
    "\n",
    "def create_inception_resnet_v2(nb_classes=1001, scale=True):\n",
    "    '''\n",
    "    Creates a inception resnet v2 network\n",
    "\n",
    "    :param nb_classes: number of classes.txt\n",
    "    :param scale: flag to add scaling of activations\n",
    "    :return: Keras Model with 1 input (299x299x3) input shape and 2 outputs (final_output, auxiliary_output)\n",
    "    '''\n",
    "\n",
    "    if K.image_dim_ordering() == 'th':\n",
    "        init = Input((3, 299, 299))\n",
    "    else:\n",
    "        init = Input((299, 299, 3))\n",
    "\n",
    "    # Input Shape is 299 x 299 x 3 (tf) or 3 x 299 x 299 (th)\n",
    "    x = inception_resnet_stem(init)\n",
    "\n",
    "    # 10 x Inception Resnet A\n",
    "    for i in range(10):\n",
    "        x = inception_resnet_v2_A(x, scale_residual=scale)\n",
    "\n",
    "    # Reduction A\n",
    "    x = reduction_A(x, k=256, l=256, m=384, n=384)\n",
    "\n",
    "    # 20 x Inception Resnet B\n",
    "    for i in range(20):\n",
    "        x = inception_resnet_v2_B(x, scale_residual=scale)\n",
    "\n",
    "    # Auxiliary tower\n",
    "    aux_out = AveragePooling2D((5, 5), strides=(3, 3))(x)\n",
    "    aux_out = Convolution2D(128, 1, 1, border_mode='same', activation='relu')(aux_out)\n",
    "    aux_out = Convolution2D(768, 5, 5, activation='relu')(aux_out)\n",
    "    aux_out = Flatten()(aux_out)\n",
    "    aux_out = Dense(nb_classes, activation='softmax')(aux_out)\n",
    "\n",
    "    # Reduction Resnet B\n",
    "    x = reduction_resnet_v2_B(x)\n",
    "\n",
    "    # 10 x Inception Resnet C\n",
    "    for i in range(10):\n",
    "        x = inception_resnet_v2_C(x, scale_residual=scale)\n",
    "\n",
    "    # Average Pooling\n",
    "    x = AveragePooling2D((8,8))(x)\n",
    "\n",
    "    # Dropout\n",
    "    x = Dropout(0.8)(x)\n",
    "    x = Flatten()(x)\n",
    "\n",
    "    # Output\n",
    "    out = Dense(output_dim=nb_classes, activation='softmax')(x)\n",
    "\n",
    "    model = Model(init, output=[out, aux_out], name='Inception-Resnet-v2')\n",
    "    return model\n",
    "\n",
    "if __name__ == \"__main__\":\n",
    "    #from keras.utils.visualize_util import plot\n",
    "\n",
    "    inception_resnet_v2 = create_inception_resnet_v2()\n",
    "    inception_resnet_v2.summary()\n",
    "\n",
    "    #plot(inception_resnet_v2, to_file=\"Inception ResNet-v2.png\", show_shapes=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import os, shutil\n",
    "from os import walk, getcwd\n",
    "# Retorna todos los archivos de un directorio dado\n",
    "def ls(ruta):  \n",
    "    return next(walk(ruta))[2]\n",
    "\n",
    "height_image = 299\n",
    "width_image = 299\n",
    "channels_image = 3\n",
    "nb_clases = 4\n",
    "batch_size = 2\n",
    "class_mode = 'categorical'\n",
    "nb_train = 4000        # 1000 x 4 clases\n",
    "nb_validation = 1200   #  300 x 4 clases\n",
    "nb_test = 1200\n",
    "\n",
    "base_dir = 'balanced_dataset'\n",
    "train_dir = os.path.join(base_dir, 'train')\n",
    "validation_dir = os.path.join(base_dir, 'validation')\n",
    "test_dir = os.path.join(base_dir, 'test')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 4000 images belonging to 4 classes.\n",
      "Found 1200 images belonging to 4 classes.\n",
      "Found 1200 images belonging to 4 classes.\n"
     ]
    }
   ],
   "source": [
    "#Extracción de características del modelo Preentrenado y nuestro dataset\n",
    "import numpy as np\n",
    "from keras.preprocessing.image import ImageDataGenerator\n",
    "from keras.utils import to_categorical\n",
    "\n",
    "#Tamaño de salida de la última capa convoluciónal del modelo preentrenado\n",
    "#lo vemos en el conv_base.summary()\n",
    "out_x = 2\n",
    "out_y = 2\n",
    "conv_len = 1001\n",
    "\n",
    "datagen = ImageDataGenerator(rescale = 1./255)\n",
    "\n",
    "def extract_features(directory, sample_count):\n",
    "    features = np.zeros(shape=(sample_count, out_x, out_x, conv_len))\n",
    "    labels = to_categorical(np.zeros(shape=(sample_count)),nb_clases) #INDICAR NUMERO DE CLASES\n",
    "    generator = datagen.flow_from_directory(\n",
    "        directory,\n",
    "        target_size = (height_image, width_image),\n",
    "        batch_size = batch_size,\n",
    "        #classes = 4,\n",
    "        class_mode = 'categorical')\n",
    "    i = 0\n",
    "    for inputs_batch, labels_batch in generator:\n",
    "        features_batch = inception_resnet_v2.predict(inputs_batch) ##Asociamos al modelo preentrenado\n",
    "        features[i * batch_size : (i + 1) * batch_size] = features_batch\n",
    "        labels[i * batch_size : (i + 1) * batch_size] = labels_batch\n",
    "        i += 1\n",
    "        if i * batch_size >= sample_count:\n",
    "            break\n",
    "    return features, labels\n",
    "\n",
    "#Train: 1000 muestras x clase, con 4 clases, 1000 x 4 = 4000\n",
    "train_features, train_labels = extract_features(train_dir, nb_train)\n",
    "#validation 500 muestras x clase con 4 clases, 300 x 4 = 1200\n",
    "validation_features, validation_labels = extract_features(validation_dir, nb_validation) \n",
    "#test 500 muestras x clase con 4 clases, 300 x 4 = 1200\n",
    "test_features, test_labels = extract_features(test_dir, nb_test)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(4000, 4004)\n",
      "(1200, 4004)\n",
      "(1200, 4004)\n"
     ]
    }
   ],
   "source": [
    "#Las características extraídas están como muetras en forma (muestra, 4, 4, 512).-->(muestras, out_x, out_y, conv_len)\n",
    "#Debemos aplanarlas (muestras, 8192) para alimentar un clasificador densamente conectado 4x4x512 = 8192 si entrada 150x150\n",
    "#Debemos aplanarlas (muestras, 25088) para alimentar un clasificador densamente conectado 7x7x512 = 25088 si entrada 224x224\n",
    "\n",
    "\n",
    "train_features = np.reshape(train_features, (nb_train, out_x * out_y * conv_len))\n",
    "validation_features = np.reshape(validation_features, (nb_validation, out_x * out_y * conv_len))\n",
    "test_features = np.reshape(test_features, (nb_test, out_x * out_y * conv_len))\n",
    "print(train_features.shape)\n",
    "print(validation_features.shape)\n",
    "print(test_features.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "dense_3 (Dense)              (None, 256)               1025280   \n",
      "_________________________________________________________________\n",
      "dropout_2 (Dropout)          (None, 256)               0         \n",
      "_________________________________________________________________\n",
      "dense_4 (Dense)              (None, 4)                 1028      \n",
      "=================================================================\n",
      "Total params: 1,026,308\n",
      "Trainable params: 1,026,308\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "#Definimos un clasificador densamente conectado capacitado con los datos y etiquetas obtenidas antes\n",
    "#Aplicamos capa de abandono Dropout y función de activación \"sigmoid\" al final\n",
    "from keras import layers\n",
    "from keras import models\n",
    "from keras import optimizers\n",
    "\n",
    "top_model = models.Sequential()\n",
    "top_model.add(layers.Dense(256, activation = 'relu', input_dim = out_x * out_y * conv_len))\n",
    "top_model.add(layers.Dropout(0.5))\n",
    "top_model.add(layers.Dense(nb_clases, activation = 'sigmoid'))  #INDICAR NUMERO DE CLASES\n",
    "\n",
    "top_model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 4000 samples, validate on 1200 samples\n",
      "Epoch 1/80\n",
      "4000/4000 [==============================] - 7s 2ms/step - loss: 1.3863 - acc: 0.2457 - val_loss: 1.3863 - val_acc: 0.2500\n",
      "Epoch 2/80\n",
      "4000/4000 [==============================] - 7s 2ms/step - loss: 1.3863 - acc: 0.2585 - val_loss: 1.3863 - val_acc: 0.2500\n",
      "Epoch 3/80\n",
      "4000/4000 [==============================] - 6s 1ms/step - loss: 1.3863 - acc: 0.2525 - val_loss: 1.3863 - val_acc: 0.2500\n",
      "Epoch 4/80\n",
      "4000/4000 [==============================] - 6s 2ms/step - loss: 1.3863 - acc: 0.2552 - val_loss: 1.3863 - val_acc: 0.2500\n",
      "Epoch 5/80\n",
      "4000/4000 [==============================] - 6s 2ms/step - loss: 1.3862 - acc: 0.2603 - val_loss: 1.3863 - val_acc: 0.2500\n",
      "Epoch 6/80\n",
      "4000/4000 [==============================] - 6s 2ms/step - loss: 1.3865 - acc: 0.2410 - val_loss: 1.3863 - val_acc: 0.2500\n",
      "Epoch 7/80\n",
      "4000/4000 [==============================] - 6s 2ms/step - loss: 1.3863 - acc: 0.2485 - val_loss: 1.3863 - val_acc: 0.2500\n",
      "Epoch 8/80\n",
      "4000/4000 [==============================] - 6s 1ms/step - loss: 1.3862 - acc: 0.2532 - val_loss: 1.3863 - val_acc: 0.2500\n",
      "Epoch 9/80\n",
      "4000/4000 [==============================] - 6s 1ms/step - loss: 1.3864 - acc: 0.2460 - val_loss: 1.3863 - val_acc: 0.2500\n",
      "Epoch 10/80\n",
      "4000/4000 [==============================] - 6s 1ms/step - loss: 1.3863 - acc: 0.2565 - val_loss: 1.3863 - val_acc: 0.2500\n",
      "Epoch 11/80\n",
      "4000/4000 [==============================] - 6s 2ms/step - loss: 1.3864 - acc: 0.2502 - val_loss: 1.3863 - val_acc: 0.2500\n",
      "Epoch 12/80\n",
      "4000/4000 [==============================] - 6s 1ms/step - loss: 1.3866 - acc: 0.2507 - val_loss: 1.3863 - val_acc: 0.2500\n",
      "Epoch 13/80\n",
      "4000/4000 [==============================] - 6s 2ms/step - loss: 1.3862 - acc: 0.2507 - val_loss: 1.3863 - val_acc: 0.2500\n",
      "Epoch 14/80\n",
      "4000/4000 [==============================] - 6s 1ms/step - loss: 1.3861 - acc: 0.2575 - val_loss: 1.3863 - val_acc: 0.2500\n",
      "Epoch 15/80\n",
      "4000/4000 [==============================] - 6s 1ms/step - loss: 1.3864 - acc: 0.2510 - val_loss: 1.3863 - val_acc: 0.2500\n",
      "Epoch 16/80\n",
      "4000/4000 [==============================] - 6s 2ms/step - loss: 1.3870 - acc: 0.2373 - val_loss: 1.3863 - val_acc: 0.2500\n",
      "Epoch 17/80\n",
      "4000/4000 [==============================] - 6s 1ms/step - loss: 1.3861 - acc: 0.2608 - val_loss: 1.3863 - val_acc: 0.2500\n",
      "Epoch 18/80\n",
      "4000/4000 [==============================] - 6s 2ms/step - loss: 1.3863 - acc: 0.2462 - val_loss: 1.3863 - val_acc: 0.2500\n",
      "Epoch 19/80\n",
      "4000/4000 [==============================] - 6s 1ms/step - loss: 1.3869 - acc: 0.2445 - val_loss: 1.3863 - val_acc: 0.2500\n",
      "Epoch 20/80\n",
      "4000/4000 [==============================] - 6s 2ms/step - loss: 1.3860 - acc: 0.2538 - val_loss: 1.3863 - val_acc: 0.2500\n",
      "Epoch 21/80\n",
      "4000/4000 [==============================] - 7s 2ms/step - loss: 1.3864 - acc: 0.2538 - val_loss: 1.3863 - val_acc: 0.2500\n",
      "Epoch 22/80\n",
      "4000/4000 [==============================] - 6s 1ms/step - loss: 1.3867 - acc: 0.2462 - val_loss: 1.3863 - val_acc: 0.2500\n",
      "Epoch 23/80\n",
      "4000/4000 [==============================] - 6s 1ms/step - loss: 1.3866 - acc: 0.2540 - val_loss: 1.3863 - val_acc: 0.2500\n",
      "Epoch 24/80\n",
      "4000/4000 [==============================] - 6s 1ms/step - loss: 1.3865 - acc: 0.2555 - val_loss: 1.3863 - val_acc: 0.2500\n",
      "Epoch 25/80\n",
      "4000/4000 [==============================] - 6s 2ms/step - loss: 1.3871 - acc: 0.2457 - val_loss: 1.3863 - val_acc: 0.2500\n",
      "Epoch 26/80\n",
      "4000/4000 [==============================] - 6s 1ms/step - loss: 1.3868 - acc: 0.2485 - val_loss: 1.3863 - val_acc: 0.2500\n",
      "Epoch 27/80\n",
      "4000/4000 [==============================] - 6s 1ms/step - loss: 1.3865 - acc: 0.2510 - val_loss: 1.3863 - val_acc: 0.2500\n",
      "Epoch 28/80\n",
      "4000/4000 [==============================] - 6s 1ms/step - loss: 1.3870 - acc: 0.2407 - val_loss: 1.3863 - val_acc: 0.2500\n",
      "Epoch 29/80\n",
      "4000/4000 [==============================] - 6s 1ms/step - loss: 1.3866 - acc: 0.2547 - val_loss: 1.3863 - val_acc: 0.2500\n",
      "Epoch 30/80\n",
      "4000/4000 [==============================] - 6s 1ms/step - loss: 1.3861 - acc: 0.2557 - val_loss: 1.3863 - val_acc: 0.2500\n",
      "Epoch 31/80\n",
      "4000/4000 [==============================] - 7s 2ms/step - loss: 1.3862 - acc: 0.2502 - val_loss: 1.3863 - val_acc: 0.2500\n",
      "Epoch 32/80\n",
      "4000/4000 [==============================] - 6s 2ms/step - loss: 1.3870 - acc: 0.2480 - val_loss: 1.3863 - val_acc: 0.2500\n",
      "Epoch 33/80\n",
      "4000/4000 [==============================] - 6s 1ms/step - loss: 1.3870 - acc: 0.2480 - val_loss: 1.3863 - val_acc: 0.2500\n",
      "Epoch 34/80\n",
      "4000/4000 [==============================] - 6s 2ms/step - loss: 1.3873 - acc: 0.2522 - val_loss: 1.3863 - val_acc: 0.2500\n",
      "Epoch 35/80\n",
      " 678/4000 [====>.........................] - ETA: 4s - loss: 1.3843 - acc: 0.2920"
     ]
    }
   ],
   "source": [
    "#Para la compilación usaremos el optimizador RMSprop ya que termina la red con una sola\n",
    "#unidad sigmoidea, cómo función de pérdida se utiliza la entropia cruzada binaria\n",
    "\n",
    "top_model.compile(loss = 'categorical_crossentropy', \n",
    "              optimizer = optimizers.RMSprop(lr=2e-5), \n",
    "              metrics = ['acc'])\n",
    "\n",
    "epochs = 80\n",
    "\n",
    "history = top_model.fit(\n",
    "    train_features,\n",
    "    train_labels,  \n",
    "    batch_size = batch_size,\n",
    "    epochs = epochs, \n",
    "    verbose = 1, \n",
    "    validation_data = (validation_features, validation_labels))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}