TransferLearningWolf.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "TransferWolf.ipynb",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_7a-OY8rvhGh",
        "colab_type": "text"
      },
      "source": [
        "#Artificial Neural Networks And Deep Learning\n",
        "#Homework 1\n",
        "\n",
        "#Students: \n",
        "\n",
        "*   Julián Jiménez\n",
        "*   Samuel Polo\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "E7dguOIHdgQy",
        "colab_type": "code",
        "outputId": "dad2296e-b630-470a-965c-5bbc3a53d84f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 54
        }
      },
      "source": [
        "%tensorflow_version 2.x\n",
        "import tensorflow as tf\n",
        "print(tf.__version__)"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "TensorFlow 2.x selected.\n",
            "2.0.0\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MGDkuBSvmK3e",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import numpy as np\n",
        "import os"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5h2al_SumOry",
        "colab_type": "code",
        "outputId": "8867b933-fe29-455a-bb10-07a0861c59da",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        }
      },
      "source": [
        "# Set the seed for random operations. \n",
        "# This let our experiments to be reproducible. \n",
        "SEED = 1234\n",
        "tf.random.set_seed(SEED)  \n",
        "\n",
        "# Get current working directory\n",
        "cwd = os.getcwd()\n",
        "print(cwd)"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jIa8WZoYqNvx",
        "colab_type": "code",
        "outputId": "f9f709e8-6094-4766-a42b-f68540c2cd25",
        "colab": {
          "resources": {
            "http://localhost:8080/nbextensions/google.colab/files.js": {
              "data": 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",
              "ok": true,
              "headers": [
                [
                  "content-type",
                  "application/javascript"
                ]
              ],
              "status": 200,
              "status_text": "OK"
            }
          },
          "base_uri": "https://localhost:8080/",
          "height": 95
        }
      },
      "source": [
        "from google.colab import files\n",
        "\n",
        "uploaded = files.upload()\n",
        "\n",
        "for fn in uploaded.keys():\n",
        "  print('User uploaded file \"{name}\" with length {length} bytes'.format(\n",
        "      name=fn, length=len(uploaded[fn])))"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "\n",
              "     <input type=\"file\" id=\"files-0a06fdad-10ea-4e54-9aa8-5a02003e7035\" name=\"files[]\" multiple disabled />\n",
              "     <output id=\"result-0a06fdad-10ea-4e54-9aa8-5a02003e7035\">\n",
              "      Upload widget is only available when the cell has been executed in the\n",
              "      current browser session. Please rerun this cell to enable.\n",
              "      </output>\n",
              "      <script src=\"/nbextensions/google.colab/files.js\"></script> "
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Saving Classification_Dataset.zip to Classification_Dataset.zip\n",
            "User uploaded file \"Classification_Dataset.zip\" with length 94923108 bytes\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nDgKMqs-1jTb",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "86aaef6b-2c69-424b-bc49-deb9659523e9"
      },
      "source": [
        "!unzip Classification_Dataset.zip"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Archive:  Classification_Dataset.zip\n",
            "  inflating: Classification_Dataset/test/IMG_0.jpg  \n",
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      "cell_type": "code",
      "metadata": {
        "id": "yJluarmumlei",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# ImageDataGenerator\n",
        "# ------------------\n",
        "\n",
        "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n",
        "\n",
        "apply_data_augmentation = True\n",
        "\n",
        "# Create training ImageDataGenerator object\n",
        "if apply_data_augmentation:\n",
        "    train_data_gen = ImageDataGenerator(rotation_range=10,\n",
        "                                        width_shift_range=10,\n",
        "                                        height_shift_range=10,\n",
        "                                        zoom_range=0.3,\n",
        "                                        horizontal_flip=True,\n",
        "                                        vertical_flip=True,\n",
        "                                        fill_mode='constant',\n",
        "                                        cval=0,\n",
        "                                        rescale=1./255,\n",
        "                                        validation_split=0.2)\n",
        "else:\n",
        "    train_data_gen = ImageDataGenerator(rescale=1./255\n",
        "                                        ,validation_split=0.2)\n",
        "\n",
        "valid_data_gen = ImageDataGenerator(rescale=1./255)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mZaNqVt2m04o",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Create generators to read images from dataset directory\n",
        "# -------------------------------------------------------\n",
        "dataset_dir = os.path.join(cwd, 'Classification_Dataset')\n",
        "\n",
        "#Batch Size\n",
        "bs = 64\n",
        "# img shape\n",
        "img_h = 256\n",
        "img_w = 256\n",
        "\n",
        "num_classes = 20\n",
        "\n",
        "classes = ['owl',              # 0\n",
        "           'galaxy',           # 1\n",
        "           'lightning',        # 2\n",
        "           'wine-bottle',      # 3\n",
        "           't-shirt',          # 4\n",
        "           'waterfall',        # 5\n",
        "           'sword',            # 6\n",
        "           'school-bus',       # 7\n",
        "           'calculator',       # 8\n",
        "           'sheet-music',      # 9\n",
        "           'airplanes',        # 10\n",
        "           'lightbulb',        # 11\n",
        "           'skyscraper',       # 12\n",
        "           'mountain-bike',    # 13\n",
        "           'fireworks',        # 14\n",
        "           'computer-monitor', # 15\n",
        "           'bear',             # 16\n",
        "           'grand-piano',      # 17\n",
        "           'kangaroo',         # 18\n",
        "           'laptop']           # 19"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "armPwaB3mTva",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "275b2019-d917-4c0c-e841-fa2c50fcfde3"
      },
      "source": [
        "# Training\n",
        "training_dir = os.path.join(dataset_dir, 'training')\n",
        "train_gen = train_data_gen.flow_from_directory(training_dir,\n",
        "                                               batch_size=bs,\n",
        "                                               classes=classes,\n",
        "                                               class_mode='categorical',\n",
        "                                               shuffle=True,\n",
        "                                               subset='training',\n",
        "                                               seed=SEED)"
      ],
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Found 1247 images belonging to 20 classes.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NdxNV734L_Ea",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "b19f8d5f-2d1e-4830-bdeb-58a773236f09"
      },
      "source": [
        "# Validation\n",
        "# Here we can use the previous code for separating the validation folder.\n",
        "##-----------------------------------------------------------------------\n",
        "valid_gen = train_data_gen.flow_from_directory(training_dir,\n",
        "                                               batch_size=bs,\n",
        "                                               classes=classes,\n",
        "                                               class_mode='categorical',\n",
        "                                               shuffle=False,\n",
        "                                               subset='validation',\n",
        "                                               seed=SEED)"
      ],
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Found 307 images belonging to 20 classes.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LJY0ROzWsbiT",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "205cc13a-7613-4d73-d90e-f4122142cf23"
      },
      "source": [
        "#Create Dataset objects\n",
        "#Training\n",
        "train_dataset = tf.data.Dataset.from_generator(lambda: train_gen,\n",
        "                                               output_types=(tf.float32, tf.float32),\n",
        "                                               output_shapes=([None, img_h, img_w, 3], [None, num_classes]))\n",
        "\n",
        "# Repeat\n",
        "# Without calling the repeat function the dataset \n",
        "# will be empty after consuming all the images\n",
        "train_dataset = train_dataset.repeat()\n",
        "print(len(train_gen))"
      ],
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "20\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3rwIrFocsgKq",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Validation \n",
        "valid_dataset = tf.data.Dataset.from_generator(lambda: valid_gen,\n",
        "                                               output_types=(tf.float32, tf.float32),\n",
        "                                               output_shapes=([None, img_h, img_w, 3], [None, num_classes]))\n",
        "# Repeat\n",
        "valid_dataset = valid_dataset.repeat()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NNyENd3iOK9P",
        "colab_type": "text"
      },
      "source": [
        "#**Transfer Learning** \n",
        "##**Our choice: VGG16**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "F9FE9pccOKMX",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Load VGG16 Model\n",
        "\n",
        "vgg = tf.keras.applications.VGG16(weights='imagenet', include_top=False, input_shape=(img_h, img_w, 3))"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BEqBCaAIOk72",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "50d41cd7-5007-49fb-e7be-370a7af12f4e"
      },
      "source": [
        "vgg.summary()\n",
        "vgg.layers"
      ],
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Model: \"vgg16\"\n",
            "_________________________________________________________________\n",
            "Layer (type)                 Output Shape              Param #   \n",
            "=================================================================\n",
            "input_3 (InputLayer)         [(None, 256, 256, 3)]     0         \n",
            "_________________________________________________________________\n",
            "block1_conv1 (Conv2D)        (None, 256, 256, 64)      1792      \n",
            "_________________________________________________________________\n",
            "block1_conv2 (Conv2D)        (None, 256, 256, 64)      36928     \n",
            "_________________________________________________________________\n",
            "block1_pool (MaxPooling2D)   (None, 128, 128, 64)      0         \n",
            "_________________________________________________________________\n",
            "block2_conv1 (Conv2D)        (None, 128, 128, 128)     73856     \n",
            "_________________________________________________________________\n",
            "block2_conv2 (Conv2D)        (None, 128, 128, 128)     147584    \n",
            "_________________________________________________________________\n",
            "block2_pool (MaxPooling2D)   (None, 64, 64, 128)       0         \n",
            "_________________________________________________________________\n",
            "block3_conv1 (Conv2D)        (None, 64, 64, 256)       295168    \n",
            "_________________________________________________________________\n",
            "block3_conv2 (Conv2D)        (None, 64, 64, 256)       590080    \n",
            "_________________________________________________________________\n",
            "block3_conv3 (Conv2D)        (None, 64, 64, 256)       590080    \n",
            "_________________________________________________________________\n",
            "block3_pool (MaxPooling2D)   (None, 32, 32, 256)       0         \n",
            "_________________________________________________________________\n",
            "block4_conv1 (Conv2D)        (None, 32, 32, 512)       1180160   \n",
            "_________________________________________________________________\n",
            "block4_conv2 (Conv2D)        (None, 32, 32, 512)       2359808   \n",
            "_________________________________________________________________\n",
            "block4_conv3 (Conv2D)        (None, 32, 32, 512)       2359808   \n",
            "_________________________________________________________________\n",
            "block4_pool (MaxPooling2D)   (None, 16, 16, 512)       0         \n",
            "_________________________________________________________________\n",
            "block5_conv1 (Conv2D)        (None, 16, 16, 512)       2359808   \n",
            "_________________________________________________________________\n",
            "block5_conv2 (Conv2D)        (None, 16, 16, 512)       2359808   \n",
            "_________________________________________________________________\n",
            "block5_conv3 (Conv2D)        (None, 16, 16, 512)       2359808   \n",
            "_________________________________________________________________\n",
            "block5_pool (MaxPooling2D)   (None, 8, 8, 512)         0         \n",
            "=================================================================\n",
            "Total params: 14,714,688\n",
            "Trainable params: 14,714,688\n",
            "Non-trainable params: 0\n",
            "_________________________________________________________________\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<tensorflow.python.keras.engine.input_layer.InputLayer at 0x7fadc26ddbe0>,\n",
              " <tensorflow.python.keras.layers.convolutional.Conv2D at 0x7fadc26dd198>,\n",
              " <tensorflow.python.keras.layers.convolutional.Conv2D at 0x7fadc2626438>,\n",
              " <tensorflow.python.keras.layers.pooling.MaxPooling2D at 0x7fadc262c6d8>,\n",
              " <tensorflow.python.keras.layers.convolutional.Conv2D at 0x7fadc262c7b8>,\n",
              " <tensorflow.python.keras.layers.convolutional.Conv2D at 0x7fadc25bcf28>,\n",
              " <tensorflow.python.keras.layers.pooling.MaxPooling2D at 0x7fadc25e4240>,\n",
              " <tensorflow.python.keras.layers.convolutional.Conv2D at 0x7fadc25e4320>,\n",
              " <tensorflow.python.keras.layers.convolutional.Conv2D at 0x7fadc25eea90>,\n",
              " <tensorflow.python.keras.layers.convolutional.Conv2D at 0x7fadc257cd68>,\n",
              " <tensorflow.python.keras.layers.pooling.MaxPooling2D at 0x7fadc258cef0>,\n",
              " <tensorflow.python.keras.layers.convolutional.Conv2D at 0x7fadc259d160>,\n",
              " <tensorflow.python.keras.layers.convolutional.Conv2D at 0x7fadc25b08d0>,\n",
              " <tensorflow.python.keras.layers.convolutional.Conv2D at 0x7fadc25b9ba8>,\n",
              " <tensorflow.python.keras.layers.pooling.MaxPooling2D at 0x7fadc254ae80>,\n",
              " <tensorflow.python.keras.layers.convolutional.Conv2D at 0x7fadc254af60>,\n",
              " <tensorflow.python.keras.layers.convolutional.Conv2D at 0x7fadc256e710>,\n",
              " <tensorflow.python.keras.layers.convolutional.Conv2D at 0x7fadc25789e8>,\n",
              " <tensorflow.python.keras.layers.pooling.MaxPooling2D at 0x7fadc2508cc0>]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5ioARg6SOmZm",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "fc832669-d59a-4fda-9d7f-117b6bbc5e78"
      },
      "source": [
        "# Create Model\n",
        "# ------------\n",
        "\n",
        "finetuning = False #We didn't use Finetuning because we were provided little training data \n",
        "#and the pre-trained VGG16 Model is expected to match this Classification problem.\n",
        "\n",
        "if finetuning:\n",
        "    freeze_until = 15 # layer from which we want to fine-tune\n",
        "    \n",
        "    for layer in vgg.layers[:freeze_until]:\n",
        "        layer.trainable = False\n",
        "else:\n",
        "    vgg.trainable = False\n",
        "    \n",
        "model = tf.keras.Sequential()\n",
        "model.add(vgg)\n",
        "model.add(tf.keras.layers.Flatten())\n",
        "model.add(tf.keras.layers.Dense(units=4096, activation='relu'))\n",
        "model.add(tf.keras.layers.Dense(units=4096, activation='relu'))\n",
        "model.add(tf.keras.layers.Dense(units=num_classes, activation='softmax'))\n",
        "\n",
        "# Visualize created model as a table\n",
        "model.summary()\n",
        "\n",
        "# Visualize initialized weights\n",
        "model.weights"
      ],
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Model: \"sequential_3\"\n",
            "_________________________________________________________________\n",
            "Layer (type)                 Output Shape              Param #   \n",
            "=================================================================\n",
            "vgg16 (Model)                (None, 8, 8, 512)         14714688  \n",
            "_________________________________________________________________\n",
            "flatten_3 (Flatten)          (None, 32768)             0         \n",
            "_________________________________________________________________\n",
            "dense_7 (Dense)              (None, 4096)              134221824 \n",
            "_________________________________________________________________\n",
            "dense_8 (Dense)              (None, 4096)              16781312  \n",
            "_________________________________________________________________\n",
            "dense_9 (Dense)              (None, 20)                81940     \n",
            "=================================================================\n",
            "Total params: 165,799,764\n",
            "Trainable params: 151,085,076\n",
            "Non-trainable params: 14,714,688\n",
            "_________________________________________________________________\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<tf.Variable 'block1_conv1_2/kernel:0' shape=(3, 3, 3, 64) dtype=float32, numpy=\n",
              " array([[[[ 4.29470569e-01,  1.17273867e-01,  3.40129584e-02, ...,\n",
              "           -1.32241577e-01, -5.33475243e-02,  7.57738389e-03],\n",
              "          [ 5.50379455e-01,  2.08774377e-02,  9.88311544e-02, ...,\n",
              "           -8.48205537e-02, -5.11389151e-02,  3.74943428e-02],\n",
              "          [ 4.80015397e-01, -1.72696680e-01,  3.75577137e-02, ...,\n",
              "           -1.27135560e-01, -5.02991639e-02,  3.48965675e-02]],\n",
              " \n",
              "         [[ 3.73466998e-01,  1.62062630e-01,  1.70863140e-03, ...,\n",
              "           -1.48207128e-01, -2.35300660e-01, -6.30356818e-02],\n",
              "          [ 4.40074533e-01,  4.73412387e-02,  5.13819456e-02, ...,\n",
              "           -9.88498852e-02, -2.96195745e-01, -7.04357103e-02],\n",
              "          [ 4.08547401e-01, -1.70375049e-01, -4.96297423e-03, ...,\n",
              "           -1.22360572e-01, -2.76450396e-01, -3.90796512e-02]],\n",
              " \n",
              "         [[-6.13601133e-02,  1.35693997e-01, -1.15694344e-01, ...,\n",
              "           -1.40158370e-01, -3.77666801e-01, -3.00509870e-01],\n",
              "          [-8.13870355e-02,  4.18543853e-02, -1.01763301e-01, ...,\n",
              "           -9.43124294e-02, -5.05662560e-01, -3.83694321e-01],\n",
              "          [-6.51455522e-02, -1.54351532e-01, -1.38038069e-01, ...,\n",
              "           -1.29404560e-01, -4.62243795e-01, -3.23985279e-01]]],\n",
              " \n",
              " \n",
              "        [[[ 2.74769872e-01,  1.48350164e-01,  1.61559835e-01, ...,\n",
              "           -1.14316158e-01,  3.65494519e-01,  3.39938998e-01],\n",
              "          [ 3.45739067e-01,  3.10493708e-02,  2.40750551e-01, ...,\n",
              "           -6.93419054e-02,  4.37116861e-01,  4.13171440e-01],\n",
              "          [ 3.10477257e-01, -1.87601492e-01,  1.66595340e-01, ...,\n",
              "           -9.88388434e-02,  4.04058546e-01,  3.92561197e-01]],\n",
              " \n",
              "         [[ 3.86807770e-02,  2.02298447e-01,  1.56414255e-01, ...,\n",
              "           -5.20089604e-02,  2.57149011e-01,  3.71682674e-01],\n",
              "          [ 4.06322069e-02,  6.58102185e-02,  2.20311403e-01, ...,\n",
              "           -3.78979952e-03,  2.69412428e-01,  4.09505904e-01],\n",
              "          [ 5.02023660e-02, -1.77571565e-01,  1.51188180e-01, ...,\n",
              "           -1.40649760e-02,  2.59300828e-01,  4.23764467e-01]],\n",
              " \n",
              "         [[-3.67223352e-01,  1.61688417e-01, -8.99365395e-02, ...,\n",
              "           -1.45945460e-01, -2.71823555e-01, -2.39718184e-01],\n",
              "          [-4.53501314e-01,  4.62574959e-02, -6.67438358e-02, ...,\n",
              "           -1.03502415e-01, -3.45792353e-01, -2.92486250e-01],\n",
              "          [-4.03383434e-01, -1.74399972e-01, -1.09849639e-01, ...,\n",
              "           -1.25688612e-01, -3.14026326e-01, -2.32839763e-01]]],\n",
              " \n",
              " \n",
              "        [[[-5.74681684e-02,  1.29344285e-01,  1.29030216e-02, ...,\n",
              "           -1.41449392e-01,  2.41099641e-01,  4.55602147e-02],\n",
              "          [-5.86349145e-02,  3.16787697e-02,  7.59588331e-02, ...,\n",
              "           -1.05017252e-01,  3.39550197e-01,  9.86374393e-02],\n",
              "          [-5.08716851e-02, -1.66002661e-01,  1.56279504e-02, ...,\n",
              "           -1.49742723e-01,  3.06801915e-01,  8.82701725e-02]],\n",
              " \n",
              "         [[-2.62249678e-01,  1.71572417e-01,  5.44555223e-05, ...,\n",
              "           -1.22728683e-01,  2.44687453e-01,  5.32913655e-02],\n",
              "          [-3.30669671e-01,  5.47101051e-02,  4.86797579e-02, ...,\n",
              "           -8.29023942e-02,  2.95466095e-01,  7.44469985e-02],\n",
              "          [-2.85227507e-01, -1.66666731e-01, -7.96697661e-03, ...,\n",
              "           -1.09780088e-01,  2.79203743e-01,  9.46525261e-02]],\n",
              " \n",
              "         [[-3.50096762e-01,  1.38710454e-01, -1.25339806e-01, ...,\n",
              "           -1.53092295e-01, -1.39917329e-01, -2.65075237e-01],\n",
              "          [-4.85030204e-01,  4.23195846e-02, -1.12076312e-01, ...,\n",
              "           -1.18306056e-01, -1.67058021e-01, -3.22241962e-01],\n",
              "          [-4.18516338e-01, -1.57048807e-01, -1.49133086e-01, ...,\n",
              "           -1.56839803e-01, -1.42874300e-01, -2.69694626e-01]]]],\n",
              "       dtype=float32)>,\n",
              " <tf.Variable 'block1_conv1_2/bias:0' shape=(64,) dtype=float32, numpy=\n",
              " array([ 0.73429835,  0.09340367,  0.06775674,  0.8862966 ,  0.25994542,\n",
              "         0.66426694, -0.01582893,  0.3249065 ,  0.68600726,  0.06247932,\n",
              "         0.58156496,  0.2361475 ,  0.69694996,  0.19451167,  0.4858922 ,\n",
              "         0.44571847,  0.5113422 ,  0.208576  ,  0.57557714,  0.33199573,\n",
              "         0.4997983 ,  0.7117759 ,  0.30284074,  0.7082712 ,  0.04548979,\n",
              "         0.7446502 ,  0.29845494,  0.48211655,  0.81658626,  0.62603897,\n",
              "         0.3768093 ,  2.064037  ,  0.77311045,  0.3459577 ,  0.6130958 ,\n",
              "         0.65459156,  0.39045632,  0.50869167,  0.2625384 ,  0.23669638,\n",
              "         0.07971057,  1.1179353 ,  0.26129362,  0.8697589 ,  0.21543622,\n",
              "         0.78007823,  0.37015367,  0.47993386,  0.4313978 ,  0.5084194 ,\n",
              "         0.23049663,  0.7636527 ,  0.35419866,  0.45794216,  0.4662595 ,\n",
              "         0.09850298,  0.3803252 ,  0.66880196,  0.4015123 ,  0.90510356,\n",
              "         0.43166816,  1.302014  ,  0.5306885 ,  0.48993504], dtype=float32)>,\n",
              " <tf.Variable 'block1_conv2_2/kernel:0' shape=(3, 3, 64, 64) dtype=float32, numpy=\n",
              " array([[[[ 1.66219279e-01,  1.42701820e-01, -4.02113283e-03, ...,\n",
              "            6.18828237e-02, -1.74057148e-02, -3.00644431e-02],\n",
              "          [ 9.46945231e-03,  3.87477316e-03,  5.08365929e-02, ...,\n",
              "           -2.77981739e-02,  1.71373668e-03,  6.82722731e-03],\n",
              "          [ 6.32681847e-02,  2.12877709e-02, -1.63465310e-02, ...,\n",
              "            8.80054955e-04,  6.68104272e-03, -1.41139806e-03],\n",
              "          ...,\n",
              "          [ 3.47490981e-03,  8.47019628e-02, -4.07223180e-02, ...,\n",
              "           -1.13523193e-02, -7.48998486e-03,  3.19077494e-03],\n",
              "          [ 5.97234145e-02,  4.97663505e-02, -3.23118735e-03, ...,\n",
              "            1.43114366e-02,  3.03175431e-02, -4.23925705e-02],\n",
              "          [ 1.33459672e-01,  4.95484173e-02, -1.78808011e-02, ...,\n",
              "            2.25385167e-02,  3.02020740e-02, -2.17075031e-02]],\n",
              " \n",
              "         [[ 2.12007999e-01,  2.10127644e-02, -1.47626130e-02, ...,\n",
              "            2.29580477e-02,  1.23102348e-02, -3.08422819e-02],\n",
              "          [-2.62175221e-03,  7.42094172e-03,  6.74030930e-02, ...,\n",
              "           -3.06594316e-02,  1.80578313e-03,  4.27369215e-03],\n",
              "          [ 2.27197763e-02, -1.07841045e-02, -1.31095545e-02, ...,\n",
              "           -1.15751950e-02,  4.18359675e-02, -1.92268589e-03],\n",
              "          ...,\n",
              "          [-2.70304317e-03,  7.41161704e-02, -3.32262330e-02, ...,\n",
              "           -1.10277236e-02,  1.39831286e-02,  5.34419343e-03],\n",
              "          [-3.20506282e-02, -2.40584910e-02, -4.52397857e-03, ...,\n",
              "           -6.04042644e-03,  2.01962605e-01, -5.04491515e-02],\n",
              "          [ 1.68114193e-02, -2.33167298e-02, -1.40886130e-02, ...,\n",
              "           -7.79278344e-03,  1.28428593e-01, -2.58184522e-02]],\n",
              " \n",
              "         [[-5.91698708e-03, -2.26223674e-02,  4.88128467e-03, ...,\n",
              "            4.13784146e-04, -4.84175496e-02,  1.63675251e-03],\n",
              "          [-3.93767562e-03,  9.07397643e-03,  5.36517277e-02, ...,\n",
              "           -2.56106984e-02, -4.17886395e-03,  2.47476017e-03],\n",
              "          [-3.07008922e-02, -1.09781921e-02, -3.69096454e-03, ...,\n",
              "           -1.19221993e-02, -1.39777903e-02,  8.52933805e-03],\n",
              "          ...,\n",
              "          [ 5.83332591e-03,  2.96198055e-02, -3.56571227e-02, ...,\n",
              "           -1.01153394e-02,  5.06090466e-03, -2.86859111e-03],\n",
              "          [-7.80934095e-02, -1.95693132e-02,  2.14814320e-02, ...,\n",
              "            7.42452731e-03,  5.41617945e-02, -2.35790759e-02],\n",
              "          [-7.82641992e-02, -2.47034207e-02,  1.36250593e-02, ...,\n",
              "           -7.53259566e-03, -2.59861015e-02,  4.52143652e-03]]],\n",
              " \n",
              " \n",
              "        [[[ 1.99202523e-01,  5.03257252e-02, -1.93236247e-02, ...,\n",
              "            1.62308700e-02, -1.15369558e-02,  1.55777042e-03],\n",
              "          [-1.38656620e-03,  4.52297740e-03,  6.65066689e-02, ...,\n",
              "           -3.00004911e-02,  1.71904117e-04, -1.11898372e-03],\n",
              "          [ 2.14257818e-02,  1.79782789e-03, -1.76792312e-02, ...,\n",
              "           -6.09106943e-03, -3.21686491e-02, -1.07312342e-03],\n",
              "          ...,\n",
              "          [-1.47800148e-02,  7.77616128e-02, -2.67065037e-02, ...,\n",
              "           -8.10234528e-03, -1.15585206e-02, -5.30505227e-03],\n",
              "          [-1.39283072e-02,  1.69547591e-02, -1.20282415e-02, ...,\n",
              "            1.25513040e-02, -8.44068080e-02, -4.48253192e-02],\n",
              "          [ 2.55671684e-02,  7.02229328e-03, -2.82986648e-02, ...,\n",
              "            1.17048556e-02, -7.34802186e-02, -2.06979234e-02]],\n",
              " \n",
              "         [[-2.59410664e-02, -4.97468375e-02, -2.42083799e-02, ...,\n",
              "           -2.39597876e-02,  2.09030695e-02,  1.69499479e-02],\n",
              "          [-4.78290301e-03,  1.04173329e-02,  8.31823424e-02, ...,\n",
              "           -3.18786576e-02,  3.48328054e-03, -3.56311840e-03],\n",
              "          [-3.81173752e-02, -1.85197107e-02, -1.43900532e-02, ...,\n",
              "           -1.41960718e-02,  3.14613059e-02,  4.11967095e-03],\n",
              "          ...,\n",
              "          [-1.79932006e-02,  7.17700496e-02, -1.99375115e-02, ...,\n",
              "           -6.12784317e-03,  1.66521706e-02, -7.48346280e-03],\n",
              "          [-8.91536921e-02, -4.69055325e-02, -1.37380632e-02, ...,\n",
              "           -8.06835108e-03,  6.04359731e-02, -4.47445139e-02],\n",
              "          [-1.00021079e-01, -3.55393849e-02, -2.46136412e-02, ...,\n",
              "           -7.50665693e-03,  9.11064222e-02, -1.06519591e-02]],\n",
              " \n",
              "         [[-9.84916389e-02, -5.77464141e-02, -4.49889433e-03, ...,\n",
              "           -2.21592579e-02, -9.32130869e-03,  5.57853021e-02],\n",
              "          [ 4.70533501e-03,  1.18583711e-02,  6.85855076e-02, ...,\n",
              "           -2.62385849e-02, -2.82203127e-03, -4.67023626e-03],\n",
              "          [-2.28894763e-02, -7.75412470e-03, -9.86886956e-03, ...,\n",
              "           -1.22523597e-02,  4.30414118e-02,  1.28994938e-02],\n",
              "          ...,\n",
              "          [ 2.93275771e-05,  1.62800644e-02, -2.53228396e-02, ...,\n",
              "           -8.11440870e-03,  9.42004658e-03, -1.69352964e-02],\n",
              "          [-4.56118677e-03, -3.88334878e-02, -8.15101550e-04, ...,\n",
              "           -7.37672672e-05,  2.05828294e-01, -1.84731018e-02],\n",
              "          [-3.79626676e-02, -1.82646457e-02, -7.20302528e-03, ...,\n",
              "           -1.28044421e-03,  1.40015617e-01,  1.13147246e-02]]],\n",
              " \n",
              " \n",
              "        [[[-1.11585744e-02, -4.15539136e-03, -6.83113467e-03, ...,\n",
              "            3.17358202e-03, -6.52846992e-02,  8.59456360e-02],\n",
              "          [-6.14583818e-03,  4.85422462e-03,  5.14627509e-02, ...,\n",
              "           -2.23777443e-02, -1.03412592e-03, -8.19014851e-03],\n",
              "          [-1.00106997e-02, -1.59974187e-03, -1.14092128e-02, ...,\n",
              "           -3.87838250e-03, -3.99293639e-02,  1.13589503e-02],\n",
              "          ...,\n",
              "          [-1.68860350e-02,  5.18255346e-02, -2.66014934e-02, ...,\n",
              "           -1.99763244e-03,  4.35560057e-03, -4.49330434e-02],\n",
              "          [-1.34146223e-02,  6.32185815e-03, -7.33473897e-03, ...,\n",
              "            4.59014578e-03, -2.98611149e-02,  3.69221941e-02],\n",
              "          [-2.88858525e-02, -4.22423892e-03, -1.42897591e-02, ...,\n",
              "            1.11823296e-02, -7.52132908e-02,  1.67242344e-02]],\n",
              " \n",
              "         [[-1.02114283e-01, -5.26558608e-02, -1.00238100e-02, ...,\n",
              "           -1.37801170e-02, -4.94753271e-02,  1.25953421e-01],\n",
              "          [ 2.65349774e-03,  1.04075735e-02,  6.73149154e-02, ...,\n",
              "           -2.37589777e-02,  6.13968645e-04, -9.96601582e-03],\n",
              "          [-1.50703192e-02, -1.28871305e-02, -8.77845287e-03, ...,\n",
              "           -1.01640215e-02, -4.76290248e-02,  1.36717530e-02],\n",
              "          ...,\n",
              "          [-5.43789240e-03,  3.35888155e-02, -2.11151708e-02, ...,\n",
              "           -3.83130647e-03, -1.02301398e-02, -5.32924160e-02],\n",
              "          [-2.21891310e-02, -4.92077954e-02, -1.38867581e-02, ...,\n",
              "           -1.28568839e-02, -9.37007815e-02,  5.59309907e-02],\n",
              "          [-2.61166841e-02, -3.50148268e-02, -1.47816772e-02, ...,\n",
              "           -2.86548026e-03, -1.01101905e-01,  1.94419883e-02]],\n",
              " \n",
              "         [[ 2.73401570e-02, -3.54428887e-02,  1.18577422e-03, ...,\n",
              "            5.02943760e-04,  4.51298095e-02,  1.23520821e-01],\n",
              "          [ 9.48381796e-03,  1.12858564e-02,  5.32916747e-02, ...,\n",
              "           -1.81195941e-02, -1.31687860e-03, -1.01092532e-02],\n",
              "          [ 3.73495184e-02, -7.93821830e-03, -5.94039401e-03, ...,\n",
              "           -7.96878152e-03,  1.53274648e-02,  9.63651482e-03],\n",
              "          ...,\n",
              "          [-2.60413792e-02, -2.53635142e-02, -2.81382054e-02, ...,\n",
              "           -6.63971901e-03, -7.26283342e-03, -5.57855107e-02],\n",
              "          [ 2.67488584e-02, -4.73727398e-02, -3.06198676e-03, ...,\n",
              "           -4.82000969e-03,  4.08617556e-02,  6.99444860e-02],\n",
              "          [ 7.98859298e-02, -2.87372041e-02,  6.38093508e-04, ...,\n",
              "            9.73386108e-04,  4.21557203e-02,  1.60824433e-02]]]],\n",
              "       dtype=float32)>,\n",
              " <tf.Variable 'block1_conv2_2/bias:0' shape=(64,) dtype=float32, numpy=\n",
              " array([-0.30912212,  0.36397225,  0.13737613,  0.07717966,  0.9052184 ,\n",
              "         0.08885256,  0.10789118, -0.23106739, -0.6318097 ,  0.18161367,\n",
              "        -0.33391494,  0.1961724 ,  0.43838617,  0.1938708 ,  0.10894354,\n",
              "         0.10315038, -1.0271513 ,  0.05252688,  0.13118458,  0.22851577,\n",
              "        -0.71377224,  0.2154155 , -0.6981962 ,  0.04061132,  0.13955347,\n",
              "         0.28767544,  0.35358745,  0.3937295 ,  0.43452853, -0.48259264,\n",
              "         0.02631121,  0.09220165,  0.05196398,  0.550705  ,  0.32368094,\n",
              "         0.07263482, -0.17745508,  0.3761972 ,  0.39344102,  0.17673127,\n",
              "        -0.15784228,  0.26051855,  0.08342359,  0.08603705, -0.09131282,\n",
              "         0.22932515,  0.2998315 ,  0.13511261, -0.3835829 ,  0.10912544,\n",
              "        -0.53432876,  0.4741787 , -0.0740848 ,  0.30046257,  0.12590808,\n",
              "         0.16480374,  0.2403943 ,  0.23401979, -0.19334187,  0.01663565,\n",
              "         0.27144948,  0.03385786,  0.06076292, -0.5825159 ], dtype=float32)>,\n",
              " <tf.Variable 'block2_conv1_2/kernel:0' shape=(3, 3, 64, 128) dtype=float32, numpy=\n",
              " array([[[[-8.90296325e-03,  3.78169715e-02,  1.39756575e-02, ...,\n",
              "           -6.35457635e-02,  2.83470433e-02, -5.54975234e-02],\n",
              "          [-5.66543266e-03, -1.05560187e-03, -2.29203496e-02, ...,\n",
              "           -1.30956469e-03,  2.52478309e-02, -2.95403805e-02],\n",
              "          [-7.85139855e-03, -4.38382570e-03, -1.29586197e-02, ...,\n",
              "            1.22073088e-02,  4.46309976e-04, -2.49174051e-02],\n",
              "          ...,\n",
              "          [-5.82487276e-03,  3.78986611e-03, -1.48562957e-02, ...,\n",
              "            1.27910008e-03,  1.27594778e-02, -1.33825615e-02],\n",
              "          [-1.54342148e-02,  5.62145375e-03,  3.05225104e-02, ...,\n",
              "            1.61413271e-02, -4.20058556e-02, -3.35679092e-02],\n",
              "          [-4.21814434e-03,  2.95577031e-02,  2.57514068e-03, ...,\n",
              "           -2.59456299e-02, -1.35917868e-03, -5.85189313e-02]],\n",
              " \n",
              "         [[-1.03394873e-02,  3.75955850e-02,  6.87777717e-03, ...,\n",
              "           -5.84545359e-02,  3.90824042e-02,  3.70086096e-02],\n",
              "          [ 4.86768410e-03,  4.54719039e-03, -1.62224416e-02, ...,\n",
              "           -2.55017504e-02,  1.88396666e-02, -6.24489179e-03],\n",
              "          [-5.31206699e-03, -1.19874987e-03, -1.11892410e-02, ...,\n",
              "            1.98805016e-02, -1.90202110e-02, -3.79090838e-04],\n",
              "          ...,\n",
              "          [-6.00387994e-03,  7.28632743e-03, -1.53944585e-02, ...,\n",
              "           -5.26854116e-03,  1.68532860e-02,  3.76290455e-03],\n",
              "          [-1.78998355e-02,  1.46924695e-02,  9.51688085e-03, ...,\n",
              "            1.07260697e-01,  2.80233864e-02, -1.89538375e-02],\n",
              "          [-3.70884268e-03,  3.08528487e-02, -5.70769282e-03, ...,\n",
              "           -3.34496573e-02, -4.65932442e-03,  1.17018344e-02]],\n",
              " \n",
              "         [[-1.01951612e-02,  1.21747078e-02,  1.11724688e-02, ...,\n",
              "            2.69737188e-02, -2.22921986e-02,  6.45900667e-02],\n",
              "          [ 1.22869862e-02,  6.45142654e-03, -3.07416776e-03, ...,\n",
              "           -1.61525756e-02, -2.23605409e-02,  1.09485257e-02],\n",
              "          [-7.09734391e-03, -5.40411752e-03, -9.43870191e-03, ...,\n",
              "           -1.52021297e-03, -2.17991360e-02, -3.77143058e-03],\n",
              "          ...,\n",
              "          [-5.21149486e-03,  1.03359867e-03, -7.52882753e-03, ...,\n",
              "           -1.92244481e-02, -6.39424520e-03,  3.69722745e-03],\n",
              "          [-1.53886806e-02, -1.34543087e-02,  5.72274020e-03, ...,\n",
              "            5.47401682e-02, -6.08180426e-02, -2.23444626e-02],\n",
              "          [-3.45917395e-03,  2.13373415e-02, -2.14421172e-02, ...,\n",
              "           -6.91150427e-02, -1.54741071e-02,  4.44306619e-02]]],\n",
              " \n",
              " \n",
              "        [[[-1.23298699e-02, -1.91225596e-02,  1.29218930e-02, ...,\n",
              "            4.33554836e-02,  1.26128104e-02, -5.96396960e-02],\n",
              "          [-1.31860480e-03, -9.51261446e-03, -1.85527243e-02, ...,\n",
              "            2.88356710e-02,  2.38556787e-02, -4.06758748e-02],\n",
              "          [-4.25214088e-03, -6.78345608e-03, -1.38743157e-02, ...,\n",
              "            2.22070217e-02,  1.34524666e-02, -2.03017425e-02],\n",
              "          ...,\n",
              "          [-7.83586409e-03, -2.57805572e-03, -1.08931847e-02, ...,\n",
              "            1.92594435e-02,  1.59353893e-02, -1.89792961e-02],\n",
              "          [-1.94495711e-02, -3.60343307e-02,  6.04022592e-02, ...,\n",
              "           -2.22710613e-02, -5.43530397e-02, -4.17403802e-02],\n",
              "          [-4.36492451e-03, -1.08945146e-02, -3.35957273e-03, ...,\n",
              "            1.72520187e-02, -1.28518986e-02, -4.72729132e-02]],\n",
              " \n",
              "         [[-1.45433825e-02, -3.68030928e-02,  3.51226889e-02, ...,\n",
              "            5.09550609e-03, -8.08145478e-02,  1.02682762e-01],\n",
              "          [ 7.81208277e-03, -1.63471382e-02, -8.99212994e-03, ...,\n",
              "           -3.65188569e-02, -8.37247167e-03, -7.34759448e-03],\n",
              "          [-1.76124368e-03, -4.82094986e-03, -1.33856600e-02, ...,\n",
              "            1.97411682e-02, -6.24130992e-03,  2.11908761e-03],\n",
              "          ...,\n",
              "          [-8.09418783e-03, -5.44183236e-03, -9.95591376e-03, ...,\n",
              "            1.03512814e-03, -1.01502263e-03,  9.89024434e-03],\n",
              "          [-2.14152560e-02, -1.22487647e-02,  4.47364189e-02, ...,\n",
              "            1.18361183e-01, -1.86819024e-02,  5.11289574e-02],\n",
              "          [-3.61343310e-03, -1.55030079e-02, -1.55327516e-02, ...,\n",
              "            2.49069761e-02, -6.95429044e-03,  1.30494153e-02]],\n",
              " \n",
              "         [[-1.17718522e-02, -2.43640933e-02,  2.16566566e-02, ...,\n",
              "            1.52593330e-01, -1.00578181e-02,  8.74510705e-02],\n",
              "          [ 1.56845041e-02, -1.70876738e-02, -1.32727087e-03, ...,\n",
              "            3.55747603e-02, -4.06013057e-02,  2.82184500e-02],\n",
              "          [-3.66246584e-03, -9.08438675e-03, -8.76258500e-03, ...,\n",
              "           -7.32058019e-04, -1.63256414e-02,  8.90959927e-04],\n",
              "          ...,\n",
              "          [-6.92374213e-03, -1.25479233e-02, -7.42880348e-03, ...,\n",
              "            3.50585720e-03, -2.07631718e-02,  1.39397075e-02],\n",
              "          [-1.86536163e-02, -9.74296406e-03, -1.49605959e-03, ...,\n",
              "           -1.41743785e-02, -1.41348932e-02,  5.55095226e-02],\n",
              "          [-1.87194371e-03, -7.81994499e-03, -1.14830295e-02, ...,\n",
              "           -5.49505465e-02, -8.39654077e-03,  3.37504521e-02]]],\n",
              " \n",
              " \n",
              "        [[[-7.51168234e-03, -1.57704763e-02,  4.40593623e-03, ...,\n",
              "            8.08628425e-02,  1.54139521e-02, -3.71525325e-02],\n",
              "          [ 3.67319165e-03, -4.84256167e-03, -9.42679588e-03, ...,\n",
              "            1.78013276e-02,  1.10012209e-02, -3.05487644e-02],\n",
              "          [-5.12040500e-03, -2.92832567e-03, -1.70742609e-02, ...,\n",
              "           -1.19602494e-03,  2.55921856e-02, -2.38123816e-02],\n",
              "          ...,\n",
              "          [-6.98121730e-03, -5.92697598e-03, -4.53395769e-03, ...,\n",
              "            1.43473689e-02,  1.32299559e-02, -1.86933577e-02],\n",
              "          [-1.64366160e-02, -2.88906470e-02,  5.16189029e-03, ...,\n",
              "            6.27482450e-03,  3.09459344e-02, -3.86791453e-02],\n",
              "          [ 7.87568372e-03,  3.53289805e-02, -8.80536530e-03, ...,\n",
              "            1.03661101e-02,  1.50152808e-02, -2.25142129e-02]],\n",
              " \n",
              "         [[-8.03535990e-03, -6.21744758e-03,  3.11630405e-02, ...,\n",
              "            1.99134022e-01, -6.17154641e-03,  1.39599340e-02],\n",
              "          [ 1.37082441e-02, -4.04076884e-03, -9.80419107e-03, ...,\n",
              "            5.20565063e-02,  6.79946598e-03, -1.67599937e-04],\n",
              "          [-2.68182647e-03,  9.37074132e-04, -1.77672971e-02, ...,\n",
              "            7.02630170e-03,  1.19604953e-02, -2.38061114e-03],\n",
              "          ...,\n",
              "          [-6.67789765e-03, -8.06673337e-03, -4.78939526e-03, ...,\n",
              "            2.99814232e-02,  3.63594829e-03,  6.42562099e-03],\n",
              "          [-2.00417619e-02, -5.05231880e-02,  2.04375144e-02, ...,\n",
              "           -9.16022658e-02, -2.39189416e-02,  5.67581393e-02],\n",
              "          [ 9.37450770e-03,  4.14647050e-02, -1.89982001e-02, ...,\n",
              "            9.74066462e-03,  2.91863047e-02, -2.41922438e-02]],\n",
              " \n",
              "         [[-7.34003959e-03,  7.00018462e-03,  1.78023316e-02, ...,\n",
              "            4.10795175e-02,  1.60309300e-02, -6.50887610e-03],\n",
              "          [ 1.98623370e-02, -4.18649800e-03, -1.23496391e-02, ...,\n",
              "           -1.08256517e-03, -6.54376950e-03,  1.12769182e-03],\n",
              "          [-4.14572377e-03, -3.37855937e-03, -1.22076506e-02, ...,\n",
              "           -1.23778330e-02,  1.39588572e-03, -7.97146652e-03],\n",
              "          ...,\n",
              "          [-5.31869614e-03, -1.09051373e-02, -5.76505670e-03, ...,\n",
              "           -1.08993258e-02, -4.60993918e-03, -3.81152914e-03],\n",
              "          [-1.69911478e-02, -3.15449387e-02,  8.09636060e-03, ...,\n",
              "           -1.06819831e-02, -2.92898342e-02,  7.60448575e-02],\n",
              "          [ 9.20531712e-03,  3.90281789e-02, -1.15968632e-02, ...,\n",
              "           -2.66397055e-02,  2.04669069e-02, -8.92718323e-03]]]],\n",
              "       dtype=float32)>,\n",
              " <tf.Variable 'block2_conv1_2/bias:0' shape=(128,) dtype=float32, numpy=\n",
              " array([-4.5777660e-02,  6.4407811e-02, -3.1368658e-02,  8.6917542e-02,\n",
              "         1.2785070e-01,  2.4616894e-01,  1.6408961e-01,  2.3979376e-01,\n",
              "         2.2164847e-01,  1.4246197e-01,  3.3131771e-02,  1.4955571e-01,\n",
              "         1.1550413e-02, -1.8516029e-04,  2.7014315e-01,  2.4461022e-01,\n",
              "         2.7350754e-01,  2.7142024e-01,  2.7011135e-01,  2.7027962e-01,\n",
              "         2.2164130e-01,  1.8953906e-01,  3.9793090e-03,  6.1518628e-02,\n",
              "         3.6547425e-01,  2.1779412e-01,  1.4007972e-01,  2.2691796e-02,\n",
              "        -1.4714201e-02,  6.5621443e-02,  3.1406230e-01, -7.7050015e-02,\n",
              "         1.0462435e-01,  2.0993298e-01, -7.4100301e-02, -8.5880190e-02,\n",
              "         1.3652268e-01,  2.3663981e-01,  3.0105148e-02, -3.6816043e-03,\n",
              "         7.6591093e-03,  3.0664349e-01,  1.3023020e-01,  4.1607008e-03,\n",
              "         2.7055809e-01,  2.5207508e-01,  2.8904697e-01,  1.2730265e-01,\n",
              "         2.8076398e-01, -4.4764560e-02, -4.2357225e-02,  6.2559925e-02,\n",
              "         1.0018661e-01, -9.9623539e-02,  1.0176195e-01,  2.3699294e-01,\n",
              "         7.8422479e-02,  1.2831993e-01,  1.1392979e-01, -1.3174531e-02,\n",
              "        -1.0383477e-01,  2.2861110e-01,  9.1953836e-02,  6.5147914e-02,\n",
              "         1.9676815e-01,  7.1536556e-02,  2.6198325e-01, -6.4189523e-02,\n",
              "         4.9607549e-02, -6.1662562e-02,  1.3248019e-01,  9.0231813e-02,\n",
              "         1.0324936e-01,  2.2680637e-01, -3.3503436e-02, -1.7922063e-01,\n",
              "         2.0180932e-01,  5.2303892e-02,  1.7740984e-01,  2.1679863e-01,\n",
              "         1.2819616e-01,  1.6143866e-01,  1.6376132e-01,  3.5884404e-01,\n",
              "        -5.2223109e-02,  2.1117201e-01,  1.4626507e-01,  1.0392818e-01,\n",
              "         2.3689806e-01, -1.7589157e-02,  1.4187863e-01, -1.5676373e-01,\n",
              "         5.5077035e-02,  1.7919958e-01,  1.9530067e-01,  4.9757544e-02,\n",
              "         1.4647865e-01,  1.5057972e-01,  4.9321059e-02,  2.2425601e-01,\n",
              "         2.8004406e-02,  4.6344060e-02,  5.4642409e-02,  3.2176018e-01,\n",
              "        -2.3094574e-02,  5.1442902e-03,  2.2401743e-02,  1.9448744e-01,\n",
              "        -9.5472252e-03,  2.5650701e-01,  1.3772449e-01,  2.8766793e-01,\n",
              "        -9.4692776e-04, -8.9352727e-03,  7.2267972e-02,  1.9602686e-02,\n",
              "         2.5652054e-01, -3.6785334e-02,  3.2890160e-02,  2.6736060e-01,\n",
              "        -1.0560317e-01,  3.7151142e-03,  2.8068131e-01, -8.9383557e-02,\n",
              "         6.6791281e-02,  3.1667921e-01,  9.5985740e-02,  1.3152032e-01],\n",
              "       dtype=float32)>,\n",
              " <tf.Variable 'block2_conv2_2/kernel:0' shape=(3, 3, 128, 128) dtype=float32, numpy=\n",
              " array([[[[-2.30123661e-03, -5.89181297e-03,  3.96523578e-03, ...,\n",
              "            8.69934738e-04,  4.31257114e-03,  2.39815353e-03],\n",
              "          [ 6.93455897e-03,  1.77669781e-03,  1.87194608e-02, ...,\n",
              "           -3.17397565e-02, -4.21442185e-03, -1.76308881e-02],\n",
              "          [-1.27900802e-02, -6.50780788e-03, -4.10286430e-03, ...,\n",
              "            2.31482647e-03, -4.67822663e-02, -3.75668402e-03],\n",
              "          ...,\n",
              "          [-4.75286070e-04, -2.96283532e-02,  3.03538516e-02, ...,\n",
              "            1.51648500e-03, -2.71695852e-02, -1.84430566e-03],\n",
              "          [ 1.41743217e-02, -3.64480889e-04, -2.33754283e-03, ...,\n",
              "           -2.28237733e-02, -1.60014853e-02,  2.46631019e-02],\n",
              "          [ 1.18608214e-02, -2.77200472e-02, -2.48606838e-02, ...,\n",
              "            4.10957001e-02,  5.57063818e-02, -2.19316985e-02]],\n",
              " \n",
              "         [[-1.38294604e-03, -5.54690696e-03, -1.06138433e-03, ...,\n",
              "            1.82250992e-03, -3.59015947e-04,  9.99924168e-03],\n",
              "          [ 6.75601466e-03,  1.10390119e-03,  2.18637586e-02, ...,\n",
              "           -3.56409214e-02, -2.45026941e-03, -6.04407070e-03],\n",
              "          [-1.35804852e-02, -8.60609580e-03,  1.28111104e-02, ...,\n",
              "           -1.01041503e-03, -3.83789763e-02,  1.18479142e-02],\n",
              "          ...,\n",
              "          [-3.61973490e-03,  4.19556797e-02,  5.89246452e-02, ...,\n",
              "            3.10248807e-02, -1.03577944e-02, -2.23138258e-02],\n",
              "          [ 1.48718422e-02,  1.86822154e-02, -3.46057713e-02, ...,\n",
              "           -2.32062247e-02, -1.91165209e-02,  8.65985733e-03],\n",
              "          [-5.93924429e-03,  1.08361673e-02,  2.81376876e-02, ...,\n",
              "            1.17414417e-02,  8.40279087e-02, -6.45612031e-02]],\n",
              " \n",
              "         [[-9.91582056e-04,  4.55033936e-04, -9.36682150e-03, ...,\n",
              "            3.41384741e-03, -5.51316887e-03,  1.24911871e-02],\n",
              "          [ 1.07221371e-02, -3.19505017e-03,  2.47716717e-02, ...,\n",
              "           -1.63276494e-02,  8.99969228e-03, -3.90315428e-03],\n",
              "          [ 4.23295191e-03,  1.27883134e-02,  1.17508639e-02, ...,\n",
              "           -1.22649251e-02,  2.91934842e-03,  1.42700337e-02],\n",
              "          ...,\n",
              "          [ 2.98261386e-03,  4.09221351e-02,  2.68427730e-02, ...,\n",
              "            9.12894122e-03,  2.94868927e-02, -3.27900308e-03],\n",
              "          [ 8.43982119e-03, -1.85558088e-02,  1.26812793e-02, ...,\n",
              "           -9.75666288e-03,  6.52654376e-03, -5.94963925e-03],\n",
              "          [-3.94721312e-04,  6.81950822e-02,  8.70230980e-03, ...,\n",
              "            1.19850151e-02,  9.72716659e-02, -2.87150545e-03]]],\n",
              " \n",
              " \n",
              "        [[[-6.72967779e-03, -6.32101856e-03,  1.24791730e-03, ...,\n",
              "           -5.51869674e-03,  5.54611022e-03,  2.74169119e-03],\n",
              "          [-1.90283672e-03,  2.39737774e-03,  7.45097920e-03, ...,\n",
              "           -6.27250373e-02, -1.16790943e-02,  1.36177419e-02],\n",
              "          [-2.43349690e-02, -9.58706811e-03,  5.12539688e-03, ...,\n",
              "            2.03479634e-04, -5.18149063e-02, -1.06236124e-02],\n",
              "          ...,\n",
              "          [-8.23690323e-04, -4.52437773e-02,  4.49064933e-02, ...,\n",
              "           -1.48973670e-02, -3.74213159e-02, -2.50751078e-02],\n",
              "          [ 1.20533947e-02, -4.14178381e-03, -2.23253462e-02, ...,\n",
              "           -8.56044441e-02, -2.15003770e-02,  5.37014790e-02],\n",
              "          [ 1.72066651e-02, -2.44826339e-02, -1.10037383e-02, ...,\n",
              "            4.80076745e-02,  3.21536772e-02, -2.96083037e-02]],\n",
              " \n",
              "         [[-4.56147827e-03, -4.65280237e-03, -8.31684005e-03, ...,\n",
              "           -5.54831931e-03,  1.18862418e-03,  9.64665227e-03],\n",
              "          [ 2.62077316e-03,  5.77449473e-03,  1.19720455e-02, ...,\n",
              "           -6.83966503e-02,  1.35026115e-03,  5.91752259e-03],\n",
              "          [-2.97386330e-02, -3.90352937e-03,  1.28964186e-02, ...,\n",
              "            6.27378060e-04, -4.46732230e-02,  1.30419582e-02],\n",
              "          ...,\n",
              "          [-2.97931256e-03,  7.04262778e-02,  4.67705168e-02, ...,\n",
              "           -2.63439678e-02, -2.75591165e-02, -3.54478620e-02],\n",
              "          [ 9.99665074e-03,  1.62281040e-02,  8.01674929e-03, ...,\n",
              "           -7.52160326e-02, -1.95330698e-02,  7.38804974e-03],\n",
              "          [ 9.53063485e-04,  5.06784841e-02,  2.04059742e-02, ...,\n",
              "            4.51842928e-03,  4.47761454e-02, -7.42928088e-02]],\n",
              " \n",
              "         [[-2.81608710e-03, -3.68988403e-04, -9.52884182e-03, ...,\n",
              "           -1.62106077e-03, -4.23267297e-03,  1.35960653e-02],\n",
              "          [ 7.26349046e-03,  3.17442766e-03,  2.06175316e-02, ...,\n",
              "           -3.99732366e-02,  2.22933367e-02, -7.41374539e-03],\n",
              "          [-1.37994336e-02,  2.29467135e-02, -6.29038131e-03, ...,\n",
              "           -5.79428207e-03, -1.50836250e-02,  1.31318215e-02],\n",
              "          ...,\n",
              "          [ 2.00410513e-03,  3.91520634e-02, -3.18683162e-02, ...,\n",
              "           -3.54397879e-03, -8.54784995e-03,  1.36236998e-03],\n",
              "          [ 5.49011305e-03, -1.51369004e-02,  2.77213678e-02, ...,\n",
              "           -2.81145964e-02,  9.72870039e-04, -6.28185738e-03],\n",
              "          [ 7.10674515e-03,  8.02865252e-02,  6.19208254e-03, ...,\n",
              "            1.03570186e-02,  7.63423666e-02, -7.15952739e-03]]],\n",
              " \n",
              " \n",
              "        [[[-1.08065400e-02, -7.45501043e-03, -5.10151871e-03, ...,\n",
              "           -4.49332688e-03,  7.89736584e-03, -3.35464210e-05],\n",
              "          [-6.12053089e-03, -1.79325249e-02, -1.11700445e-02, ...,\n",
              "           -4.62095961e-02, -4.28734301e-03,  2.02734675e-03],\n",
              "          [-2.64673289e-02, -1.31910611e-02,  1.76633168e-02, ...,\n",
              "           -6.08402630e-03, -3.14402916e-02, -1.81844179e-02],\n",
              "          ...,\n",
              "          [ 1.37444083e-02, -2.84396205e-02,  1.88047513e-02, ...,\n",
              "           -1.93887874e-02, -3.75849679e-02, -2.45505963e-02],\n",
              "          [ 7.21093081e-03, -1.23673957e-02, -5.60066104e-03, ...,\n",
              "           -4.09601741e-02, -1.16450675e-02,  3.63268666e-02],\n",
              "          [ 1.34990485e-02, -1.55054999e-03,  5.54364361e-03, ...,\n",
              "            3.92058305e-02,  2.16900297e-02, -1.13665536e-02]],\n",
              " \n",
              "         [[-8.32169224e-03, -6.18967554e-03, -1.13438964e-02, ...,\n",
              "           -3.40542640e-03,  3.85991205e-03,  7.26305228e-03],\n",
              "          [-2.55200220e-03, -1.41635584e-02, -3.80055211e-03, ...,\n",
              "           -5.45916855e-02,  2.17752811e-03, -5.23553835e-03],\n",
              "          [-3.21345851e-02, -2.83276942e-03, -2.20403913e-03, ...,\n",
              "           -1.67740230e-02, -3.22663859e-02,  2.23135133e-03],\n",
              "          ...,\n",
              "          [ 3.27714277e-03,  8.55310634e-02, -2.84323972e-02, ...,\n",
              "            2.72681676e-02, -3.39798741e-02, -1.60314962e-02],\n",
              "          [ 3.99958156e-03,  1.23148263e-02,  3.01949140e-02, ...,\n",
              "           -5.21975756e-02, -1.14355180e-02, -7.70385157e-07],\n",
              "          [-1.03606293e-02,  7.14352727e-02,  1.61257926e-02, ...,\n",
              "           -1.47721104e-04,  9.00403503e-03, -3.94313596e-02]],\n",
              " \n",
              "         [[-5.75947622e-03,  4.07667161e-04, -5.18753566e-03, ...,\n",
              "            8.14088504e-04, -4.34151705e-04,  1.14657767e-02],\n",
              "          [ 4.41048900e-03, -3.57159856e-03,  3.01857502e-03, ...,\n",
              "           -3.98184508e-02,  1.49278138e-02, -8.20163079e-03],\n",
              "          [-2.44483184e-02,  2.32945569e-02, -2.34904625e-02, ...,\n",
              "           -1.79554094e-02, -3.21781076e-02,  1.07798241e-02],\n",
              "          ...,\n",
              "          [ 5.12963720e-03,  2.35215593e-02, -3.53378877e-02, ...,\n",
              "            3.48278917e-02, -2.01826524e-02,  2.35197158e-03],\n",
              "          [ 3.45730968e-03, -1.26461498e-02,  1.03930170e-02, ...,\n",
              "           -3.20292413e-02, -6.37839548e-04, -7.48459855e-03],\n",
              "          [ 3.67492763e-03,  6.75461590e-02,  9.46969260e-03, ...,\n",
              "            4.72220499e-03,  4.39464301e-02,  6.21765293e-03]]]],\n",
              "       dtype=float32)>,\n",
              " <tf.Variable 'block2_conv2_2/bias:0' shape=(128,) dtype=float32, numpy=\n",
              " array([-0.06418542, -0.11568324, -0.13206749,  0.0608536 ,  0.2689488 ,\n",
              "        -0.10177708,  0.05753241, -0.0253701 ,  0.02453307, -0.16847736,\n",
              "         0.1316739 , -0.01181007, -0.27968737, -0.01710657,  0.14509922,\n",
              "        -0.2100034 ,  0.09921633, -0.01273028, -0.10428324,  0.11836739,\n",
              "        -0.21125603, -0.22762309,  0.44482312,  0.04079875, -0.30996218,\n",
              "        -0.03813913, -0.2617242 ,  0.04896495,  0.14684829, -0.09759409,\n",
              "        -0.16100882, -0.08115347,  0.2567695 ,  0.09040406,  0.03538936,\n",
              "         0.23496653, -0.59533477,  0.280156  ,  0.02269722,  0.15407647,\n",
              "         0.10761564,  0.15549968, -0.27726585,  0.14555272, -0.07341251,\n",
              "         0.0086478 , -0.08294716,  0.16158143, -0.17374775, -0.00751741,\n",
              "        -0.2599541 ,  0.0932769 ,  0.35911047, -0.09218857,  0.08189061,\n",
              "        -0.24053718, -0.12922512, -0.01862046, -0.11662732, -0.11673097,\n",
              "        -0.1816601 ,  0.16486758, -0.04786587, -0.04397993,  0.14281501,\n",
              "         0.26927033,  0.3568714 ,  0.03537106, -0.17966093,  0.04918984,\n",
              "         0.63375777, -0.20748404, -0.06041681,  0.12094544, -0.08843092,\n",
              "        -0.30141872,  0.28632042,  0.10882995,  0.14509913, -0.04585594,\n",
              "        -0.08846492,  0.13556598,  0.16782367,  0.07018866, -0.10737082,\n",
              "         0.44746682, -0.08115204, -0.04683498,  0.18236732, -0.01913908,\n",
              "        -0.0207867 ,  0.37967235,  0.07472062, -0.09300313,  0.3070309 ,\n",
              "         0.01550341,  0.15720516, -0.18576111,  0.07595339, -0.28695267,\n",
              "         0.20711343, -0.22942008,  0.17479539,  0.2029741 , -0.44217134,\n",
              "         0.04695964, -0.14719886, -0.02473967,  0.14871362,  0.00526441,\n",
              "         0.00490166, -0.17585608, -0.00920897, -0.25866592, -0.01254782,\n",
              "         0.04957367,  0.173761  , -0.01913427, -0.1067858 ,  0.01878852,\n",
              "        -0.08317517,  0.06669547,  0.01067064,  0.37834755,  0.11717828,\n",
              "         0.20528455,  0.2403423 ,  0.27507326], dtype=float32)>,\n",
              " <tf.Variable 'block3_conv1_2/kernel:0' shape=(3, 3, 128, 256) dtype=float32, numpy=\n",
              " array([[[[ 2.48631509e-03,  3.29096033e-03, -3.13071609e-02, ...,\n",
              "            4.71851649e-03,  6.10046380e-04,  1.08059337e-02],\n",
              "          [ 1.36040282e-02,  3.80906137e-03, -3.50438058e-02, ...,\n",
              "            8.50365497e-03,  4.99894470e-03,  2.45373725e-04],\n",
              "          [-1.02960337e-02,  1.11045251e-02, -1.05560301e-02, ...,\n",
              "            1.18119251e-02,  4.14630165e-03,  1.04994141e-02],\n",
              "          ...,\n",
              "          [ 2.14050314e-03,  2.17348989e-03, -4.09283377e-02, ...,\n",
              "           -8.34189355e-03,  2.35738587e-02, -1.85471829e-02],\n",
              "          [ 1.61261633e-02,  8.04742594e-05, -3.95269990e-02, ...,\n",
              "           -3.94453527e-03,  8.42030905e-03, -6.98040065e-04],\n",
              "          [-3.51465750e-03,  1.08316056e-02, -2.23830044e-02, ...,\n",
              "            1.92155335e-02,  4.21972945e-03, -1.55707300e-02]],\n",
              " \n",
              "         [[ 6.11093594e-03,  5.44822821e-03,  1.57541838e-02, ...,\n",
              "            5.60781872e-03,  1.93978904e-03,  1.49202365e-02],\n",
              "          [-3.13426033e-02,  1.45718846e-02,  1.18744513e-02, ...,\n",
              "            1.21863568e-02,  1.49443159e-02,  2.60730181e-03],\n",
              "          [-2.32275911e-02,  2.08911151e-02,  1.11537259e-02, ...,\n",
              "            2.36150771e-02,  1.06090466e-02,  4.31246823e-03],\n",
              "          ...,\n",
              "          [ 2.83093913e-03,  5.63543057e-03,  1.72611587e-02, ...,\n",
              "           -2.76210159e-03,  3.27554196e-02, -1.73731633e-02],\n",
              "          [ 4.87203449e-02,  1.24137765e-02,  3.64911221e-02, ...,\n",
              "            9.30428132e-03,  5.34809241e-03,  6.80550281e-03],\n",
              "          [-2.03473382e-02,  1.38210657e-03, -2.35674269e-02, ...,\n",
              "            3.24176252e-02,  2.19412390e-02, -3.02630980e-02]],\n",
              " \n",
              "         [[ 1.05408970e-02,  7.44795799e-03, -3.36561389e-02, ...,\n",
              "            2.62853602e-04, -6.13683043e-03,  1.33312661e-02],\n",
              "          [-3.32584940e-02,  1.55691411e-02, -2.89147953e-04, ...,\n",
              "           -3.60562908e-03,  1.49507467e-02,  7.65243312e-03],\n",
              "          [ 3.94205609e-03,  1.48937441e-02, -1.59246754e-02, ...,\n",
              "            1.39236227e-02,  3.22588254e-03,  6.02472946e-03],\n",
              "          ...,\n",
              "          [ 9.61219659e-04, -2.27980153e-03, -4.54332307e-02, ...,\n",
              "           -8.10870901e-03,  3.84118455e-03, -1.65238492e-02],\n",
              "          [ 2.77294349e-02,  1.70650017e-02,  2.01114286e-02, ...,\n",
              "            8.16452038e-03,  4.37149359e-03,  8.13044887e-03],\n",
              "          [-1.77335721e-02,  1.02985008e-02, -3.90648767e-02, ...,\n",
              "            2.65211053e-02,  1.88891459e-02, -1.68677885e-02]]],\n",
              " \n",
              " \n",
              "        [[[ 4.49297950e-03, -3.98075627e-03,  1.72210410e-02, ...,\n",
              "            8.42886325e-03, -1.04969469e-04,  5.74578904e-03],\n",
              "          [-4.00591874e-03, -2.41769738e-02, -1.10928714e-02, ...,\n",
              "           -1.52679645e-02,  6.81134174e-03, -3.05488333e-03],\n",
              "          [-1.56376939e-02, -5.00010047e-03,  4.81709233e-03, ...,\n",
              "            5.51846065e-03,  4.62341262e-03,  5.28823584e-03],\n",
              "          ...,\n",
              "          [ 3.78267164e-03, -7.20065041e-03,  2.24571675e-02, ...,\n",
              "            1.21734152e-02,  1.66180804e-02, -2.85227131e-02],\n",
              "          [ 3.54970875e-03, -7.91174546e-03,  6.50567329e-03, ...,\n",
              "            5.75853884e-03, -5.25432348e-04, -3.29109584e-03],\n",
              "          [ 2.42216233e-03, -1.42111657e-02,  3.40532698e-02, ...,\n",
              "           -8.09886493e-03,  6.40509045e-03, -2.32355390e-02]],\n",
              " \n",
              "         [[ 6.58771209e-03, -3.84311262e-03,  6.62338808e-02, ...,\n",
              "            5.46263764e-03,  2.69173388e-03,  9.38945077e-03],\n",
              "          [-5.54355457e-02, -2.00809669e-02,  3.39177996e-02, ...,\n",
              "           -2.65794396e-02,  7.77757354e-03,  1.45330857e-02],\n",
              "          [-5.56085445e-03, -1.38856005e-02,  3.95981222e-02, ...,\n",
              "           -7.25830847e-04,  4.43886919e-03,  2.62149167e-03],\n",
              "          ...,\n",
              "          [ 2.70528113e-03, -5.45389997e-03,  8.94473717e-02, ...,\n",
              "            2.45114118e-02,  5.10585234e-02, -3.43545228e-02],\n",
              "          [ 5.07756323e-02,  1.51661120e-03,  8.18592831e-02, ...,\n",
              "            2.16385573e-02,  1.26126707e-02,  1.81507389e-03],\n",
              "          [-2.27336828e-02, -3.00953630e-02,  3.85253243e-02, ...,\n",
              "           -9.51036997e-03,  8.18072818e-03, -3.70927304e-02]],\n",
              " \n",
              "         [[ 5.95341111e-03,  8.94323515e-04,  1.05835460e-02, ...,\n",
              "            4.89834580e-04,  5.24436589e-04,  9.38476902e-03],\n",
              "          [-4.07811590e-02,  4.78578452e-03,  1.44789219e-02, ...,\n",
              "           -5.62724238e-03, -4.85808152e-04,  1.29066659e-02],\n",
              "          [ 1.34129170e-02, -1.18021872e-02,  4.19147732e-03, ...,\n",
              "           -8.13282002e-03, -4.46207495e-03,  8.42996407e-03],\n",
              "          ...,\n",
              "          [ 1.52341533e-03, -6.47965074e-03,  1.00679537e-02, ...,\n",
              "            1.56302936e-02,  3.72295864e-02, -3.21733207e-02],\n",
              "          [ 3.96381617e-02,  1.58769619e-02,  3.92291285e-02, ...,\n",
              "            1.72687024e-02,  2.41979603e-02,  5.91078307e-03],\n",
              "          [-1.79783162e-02, -2.94427648e-02,  1.28269298e-02, ...,\n",
              "           -1.60066597e-02, -5.16920770e-03, -2.00248957e-02]]],\n",
              " \n",
              " \n",
              "        [[[ 4.85232845e-03, -2.46043317e-03, -9.62745398e-03, ...,\n",
              "            1.07441526e-02, -2.84585054e-03, -1.90984423e-03],\n",
              "          [-1.19528649e-02, -1.80358142e-02, -3.36395353e-02, ...,\n",
              "           -1.47682996e-02,  1.02861486e-02, -3.36993136e-03],\n",
              "          [ 4.98365518e-03, -1.66885350e-02, -1.20581677e-02, ...,\n",
              "           -1.59126818e-02,  1.31858326e-02,  2.94562749e-04],\n",
              "          ...,\n",
              "          [-5.69525547e-03, -1.74089391e-02, -3.64525653e-02, ...,\n",
              "            7.06359418e-03, -1.58607736e-02, -2.61105206e-02],\n",
              "          [-3.87686165e-03, -2.40983404e-02, -5.60978092e-02, ...,\n",
              "           -1.22877983e-02, -3.04629817e-03, -1.03539054e-03],\n",
              "          [ 1.35685736e-02, -2.09947508e-02, -1.52395582e-02, ...,\n",
              "           -2.87993886e-02,  1.74087044e-02, -1.86969731e-02]],\n",
              " \n",
              "         [[ 1.45290594e-03, -6.42601680e-03,  1.14819771e-02, ...,\n",
              "            1.17859095e-02,  8.51634599e-04, -2.82667065e-03],\n",
              "          [-2.43061744e-02, -1.82640739e-02,  1.50347399e-02, ...,\n",
              "           -2.63812207e-02,  2.30616182e-02,  4.71212249e-03],\n",
              "          [ 1.60123650e-02, -1.25727728e-02,  1.22705530e-02, ...,\n",
              "           -1.90321188e-02,  1.43274162e-02, -9.16460936e-04],\n",
              "          ...,\n",
              "          [ 2.31739320e-03, -1.62090212e-02,  1.71782896e-02, ...,\n",
              "            1.23864021e-02,  7.53226131e-03, -2.98976954e-02],\n",
              "          [ 1.98312830e-02, -1.12192128e-02,  1.70756541e-02, ...,\n",
              "           -1.62761565e-02, -2.72694766e-03, -1.83170743e-03],\n",
              "          [-3.89542966e-03, -3.53942066e-02, -1.64013300e-02, ...,\n",
              "           -4.73240092e-02,  1.97671168e-02, -2.87492648e-02]],\n",
              " \n",
              "         [[ 1.00636412e-03, -5.19909943e-03, -3.75667326e-02, ...,\n",
              "            7.44984252e-03,  4.31809276e-05, -3.22302600e-04],\n",
              "          [-1.04536200e-02, -9.70086199e-04,  1.94423497e-02, ...,\n",
              "           -1.29293650e-04,  9.82195791e-03, -1.07756234e-03],\n",
              "          [ 5.58500132e-03, -1.86028529e-03, -8.09577946e-03, ...,\n",
              "           -6.18272461e-03,  1.71643522e-04,  7.06695300e-03],\n",
              "          ...,\n",
              "          [-3.72283580e-03, -1.86357144e-02, -4.54351157e-02, ...,\n",
              "            1.30783571e-02,  3.22722102e-04, -3.35289426e-02],\n",
              "          [ 1.59978885e-02,  8.11644178e-03, -1.23626338e-02, ...,\n",
              "            2.87816068e-03,  2.04773736e-03, -6.40190148e-04],\n",
              "          [-4.09534993e-03, -3.75131555e-02, -3.33721489e-02, ...,\n",
              "           -4.82492335e-02,  3.41874664e-03, -1.31510263e-02]]]],\n",
              "       dtype=float32)>,\n",
              " <tf.Variable 'block3_conv1_2/bias:0' shape=(256,) dtype=float32, numpy=\n",
              " array([-7.43588656e-02, -7.82142300e-03,  1.99858069e-01,  5.86250983e-02,\n",
              "         2.52379458e-02,  1.12540629e-02,  1.31672308e-01,  9.02242810e-02,\n",
              "         1.49592683e-01, -3.50398421e-02,  6.14030147e-03, -8.11117887e-03,\n",
              "        -5.05330227e-03, -1.01226144e-01, -5.19916452e-02,  1.39830606e-02,\n",
              "         1.07287608e-01,  1.85816567e-02, -8.91413689e-02,  9.85322371e-02,\n",
              "         1.40273839e-01, -2.21021902e-02,  2.16904543e-02, -8.71320534e-03,\n",
              "         4.80595827e-02,  4.82086278e-02,  1.46308407e-01,  1.21595077e-02,\n",
              "        -3.28533053e-02,  8.22634995e-02, -7.40040168e-02,  7.76286274e-02,\n",
              "         3.04200482e-02, -2.72025205e-02,  1.55593306e-02,  1.18354801e-03,\n",
              "        -9.05257389e-02, -1.03295766e-01, -3.65283228e-02, -5.99550568e-02,\n",
              "         1.17646568e-01,  2.00315118e-02, -1.71818864e-02,  3.41015868e-02,\n",
              "        -6.83562905e-02,  3.90349738e-02,  1.33812602e-03, -5.84527552e-02,\n",
              "        -1.86945014e-02, -3.10241263e-02, -5.08952476e-02,  1.03504502e-03,\n",
              "         1.68015808e-02,  6.09565713e-02, -5.96898086e-02,  7.87034333e-02,\n",
              "         1.27807269e-02,  8.19958001e-02, -3.29079060e-03,  1.05128504e-01,\n",
              "        -1.42537421e-02,  5.01402766e-02,  3.35593562e-04,  7.92880729e-02,\n",
              "        -4.18967754e-02,  8.43806267e-02, -2.04840805e-02, -5.14604710e-03,\n",
              "         5.63466437e-02,  4.63298373e-02,  4.95597087e-02, -6.12193942e-02,\n",
              "         1.22491747e-01,  6.75263703e-02,  4.25784215e-02,  1.58944473e-01,\n",
              "         3.33125927e-02, -3.51674929e-02,  2.65883021e-02,  1.72785539e-02,\n",
              "        -1.55145142e-04, -2.77894381e-02, -5.92041761e-02,  7.75184184e-02,\n",
              "         1.10869654e-01,  5.67513518e-02,  2.83265803e-02, -1.53156728e-01,\n",
              "        -4.65256162e-02, -2.83089001e-02, -2.22908221e-02,  1.96909793e-02,\n",
              "         5.58021385e-03,  4.27054390e-02, -1.02149777e-01,  1.14883122e-03,\n",
              "        -9.66805816e-02, -8.41323435e-02,  6.23559691e-02,  1.09561108e-01,\n",
              "         7.00691808e-03, -5.50029874e-02, -4.91849408e-02, -1.76147781e-02,\n",
              "        -2.40004361e-02,  8.58763605e-02,  5.70180900e-02,  1.39770836e-01,\n",
              "        -9.41964015e-02,  1.72558725e-01,  1.54925585e-02, -2.44386829e-02,\n",
              "         5.99474199e-02,  8.23580176e-02,  1.26813375e-03, -6.25416916e-03,\n",
              "         1.58674151e-01,  5.76364733e-02,  1.74609572e-02,  1.49641156e-01,\n",
              "        -8.72500893e-03, -2.41600052e-02,  4.93557611e-03,  7.58234710e-02,\n",
              "        -1.68748066e-01, -4.25629057e-02, -5.20474203e-02, -1.54869869e-01,\n",
              "        -6.91577718e-02, -7.06267878e-02,  4.56875004e-02, -3.20760012e-02,\n",
              "        -2.00978965e-01, -1.41668320e-01,  7.83928782e-02,  3.81931625e-02,\n",
              "        -8.14075861e-03, -3.03441286e-02, -2.73723528e-03,  1.04369465e-02,\n",
              "         3.72486524e-02, -7.18454318e-03,  7.87754655e-02,  2.32973583e-02,\n",
              "         4.12695780e-02,  1.18990578e-01,  7.35382959e-02,  5.69657655e-03,\n",
              "         9.87366810e-02,  1.87426712e-02,  1.03674002e-01, -6.63928641e-03,\n",
              "        -2.62002982e-02,  3.02988961e-02,  1.46475844e-02,  9.10094008e-02,\n",
              "        -7.52718672e-02,  2.63437424e-02,  1.66083038e-01, -4.93965335e-02,\n",
              "        -9.30522976e-04,  3.64395380e-02, -4.38934527e-02,  6.48857951e-02,\n",
              "        -2.94738077e-02,  9.18932706e-02, -3.09058055e-02,  2.83562243e-02,\n",
              "         2.82770721e-03, -3.29918638e-02,  5.85343279e-02, -5.04371524e-02,\n",
              "        -3.62766236e-02, -4.32307646e-02, -6.57807514e-02, -3.66672277e-02,\n",
              "        -2.41919458e-02, -6.04458451e-02,  5.60694151e-02,  3.48671922e-03,\n",
              "         1.31377563e-01, -5.67615330e-02, -3.71594913e-02,  3.77775840e-02,\n",
              "         1.12982266e-01,  4.22195755e-02,  6.63153529e-02, -4.67135347e-02,\n",
              "        -9.42966118e-02, -9.68727842e-03, -1.33719174e-02,  1.70798182e-01,\n",
              "        -2.22101770e-02, -1.39698302e-02,  9.83864516e-02,  4.94368449e-02,\n",
              "         7.70076737e-02,  1.01149976e-02, -9.57828313e-02,  4.99044210e-02,\n",
              "        -1.55091844e-02,  8.29517245e-02,  1.27148554e-02, -2.46906392e-02,\n",
              "         6.82564229e-02,  9.56533104e-02,  2.05127731e-01, -1.88522916e-02,\n",
              "        -6.21608971e-03,  3.39489020e-02, -1.58346687e-02,  6.97900355e-02,\n",
              "         9.69509557e-02,  1.38234586e-01,  4.95215319e-03,  5.39944358e-02,\n",
              "        -9.61965974e-03,  4.53798585e-02,  1.25275165e-01,  6.28290139e-03,\n",
              "         1.96305774e-02, -1.46517288e-02, -4.26939204e-02, -5.98763116e-02,\n",
              "        -4.93083969e-02, -9.13676899e-03,  7.50048086e-02,  1.19404271e-01,\n",
              "         4.21564467e-02, -3.56978104e-02,  6.22963049e-02, -5.56988753e-02,\n",
              "        -8.98351986e-03,  4.67670858e-02,  1.15553811e-01,  1.54885754e-03,\n",
              "        -6.53147623e-02, -2.76188087e-03, -2.88737379e-02,  3.49496126e-01,\n",
              "         1.32759318e-01,  7.41247907e-02,  9.06468648e-03,  8.58006533e-04,\n",
              "         2.35754419e-02, -3.43079567e-02,  5.42532057e-02,  3.14495265e-02,\n",
              "         3.93943256e-03,  6.62599280e-02,  8.03745165e-02, -2.91163549e-02,\n",
              "        -1.98691040e-02,  5.25035225e-02, -4.46449406e-02, -2.78639924e-02],\n",
              "       dtype=float32)>,\n",
              " <tf.Variable 'block3_conv2_2/kernel:0' shape=(3, 3, 256, 256) dtype=float32, numpy=\n",
              " array([[[[-1.03266295e-02, -2.57659331e-03,  2.39167653e-04, ...,\n",
              "           -1.18998659e-03, -9.75547917e-03, -2.47324049e-03],\n",
              "          [-9.87034664e-03, -1.88852882e-03,  2.75667437e-04, ...,\n",
              "           -9.98693518e-03, -5.98258805e-03,  4.40906314e-03],\n",
              "          [ 1.61835626e-02, -9.38057806e-03, -6.73405966e-03, ...,\n",
              "           -2.42401171e-03,  1.09589035e-02,  1.39167206e-02],\n",
              "          ...,\n",
              "          [-1.40176648e-02, -3.08811688e-03,  3.41502228e-03, ...,\n",
              "            5.33248903e-03, -1.70355793e-02, -1.36359241e-02],\n",
              "          [ 1.74193655e-03, -9.95234400e-03, -4.35903465e-04, ...,\n",
              "           -2.41840957e-03, -1.68555733e-02,  1.05463974e-02],\n",
              "          [-4.77309758e-03, -6.66776532e-03,  5.07126655e-03, ...,\n",
              "           -1.20526762e-03,  3.55557725e-03,  1.17330160e-03]],\n",
              " \n",
              "         [[-6.64285664e-03, -3.47881275e-03,  2.39190087e-03, ...,\n",
              "           -7.53906369e-03, -5.72045427e-03, -9.24838521e-03],\n",
              "          [-2.97287968e-03,  3.34521150e-03, -3.18630366e-03, ...,\n",
              "           -1.15623679e-02, -7.90791214e-03,  5.92658529e-03],\n",
              "          [ 2.53777411e-02,  2.53286422e-03,  2.17707790e-02, ...,\n",
              "            2.15302818e-02,  1.67279467e-02,  2.45583057e-02],\n",
              "          ...,\n",
              "          [-7.73527799e-03,  6.76160492e-03, -1.16094667e-03, ...,\n",
              "            4.41490719e-03, -1.44865643e-02, -1.29020950e-02],\n",
              "          [ 1.03217484e-02, -7.36614782e-03, -5.86766237e-03, ...,\n",
              "           -4.04950976e-03, -1.98591519e-02,  1.01560345e-02],\n",
              "          [-1.55079812e-02,  1.91596281e-02,  2.70862889e-04, ...,\n",
              "           -6.27748622e-03,  4.34006471e-03,  1.73485430e-04]],\n",
              " \n",
              "         [[ 4.12674667e-03, -4.57745697e-03,  6.64306013e-03, ...,\n",
              "           -2.34278967e-03, -9.18853935e-03, -1.25898141e-03],\n",
              "          [-3.07818851e-03,  7.09499512e-03, -1.60038937e-03, ...,\n",
              "           -6.78885821e-03, -1.09325945e-02,  7.65817193e-03],\n",
              "          [ 2.55893916e-02, -1.47064438e-03,  9.20196623e-03, ...,\n",
              "           -5.94317727e-03,  2.50070821e-03,  6.69544796e-03],\n",
              "          ...,\n",
              "          [-9.56582557e-03,  7.91247934e-03, -5.33100963e-03, ...,\n",
              "            4.76566935e-03, -1.49843339e-02, -6.69805566e-03],\n",
              "          [ 1.19609423e-02, -3.48291663e-03,  1.67369528e-03, ...,\n",
              "            8.51548160e-04, -1.82969198e-02,  8.18597153e-03],\n",
              "          [-1.66008994e-02,  1.42412046e-02, -3.94398719e-03, ...,\n",
              "           -3.43332323e-03,  2.92040431e-03,  3.60240089e-03]]],\n",
              " \n",
              " \n",
              "        [[[-1.50715457e-02,  3.58128431e-03,  1.96502986e-03, ...,\n",
              "            1.93002622e-03,  1.64739266e-02, -1.30437613e-02],\n",
              "          [-1.05031207e-02, -1.34232629e-03,  8.39629397e-03, ...,\n",
              "           -6.13174262e-03, -7.77114695e-03, -7.34500634e-03],\n",
              "          [ 1.59280524e-02, -4.93563304e-04,  2.06456911e-02, ...,\n",
              "            3.44217420e-02,  2.81744432e-02,  4.31641713e-02],\n",
              "          ...,\n",
              "          [-2.63509643e-03, -1.55394357e-02,  1.79553684e-02, ...,\n",
              "            5.62341791e-03,  7.54640112e-03, -1.32122431e-02],\n",
              "          [-8.40738416e-03, -1.08226598e-03, -8.15254636e-03, ...,\n",
              "            7.50581920e-03, -2.10973900e-02,  4.46510874e-03],\n",
              "          [ 3.56538873e-03, -1.49670860e-03,  3.90027976e-03, ...,\n",
              "            2.24968046e-03, -1.23405561e-03, -5.28686540e-03]],\n",
              " \n",
              "         [[-1.69400852e-02,  2.77157854e-02, -1.96665525e-03, ...,\n",
              "           -1.36413379e-02,  1.78107675e-02, -1.66987181e-02],\n",
              "          [-7.62252975e-03,  2.68657506e-03,  5.14760846e-03, ...,\n",
              "           -1.13447458e-02, -9.81413107e-03, -6.15228107e-03],\n",
              "          [ 2.45921463e-02,  1.22981239e-02,  4.96367253e-02, ...,\n",
              "            5.45314848e-02,  3.91974635e-02,  5.24803512e-02],\n",
              "          ...,\n",
              "          [ 4.61020367e-03, -1.76493190e-02,  1.43087450e-02, ...,\n",
              "            5.83570963e-03,  8.79333634e-03, -1.14443125e-02],\n",
              "          [ 6.86999364e-03, -9.89954080e-03, -1.38055198e-02, ...,\n",
              "            3.88898421e-03, -2.33089775e-02,  5.92778437e-03],\n",
              "          [-1.12817856e-02,  2.83943769e-02,  8.38675944e-04, ...,\n",
              "           -4.76626121e-03, -4.87527344e-03, -6.83464762e-03]],\n",
              " \n",
              "         [[-6.74894638e-03,  4.08497546e-03,  1.99278723e-03, ...,\n",
              "           -1.32070435e-02,  6.80110930e-03, -1.38106188e-02],\n",
              "          [-5.74127119e-03,  3.86035186e-03, -2.07123021e-03, ...,\n",
              "           -1.55830057e-02, -9.33692232e-03, -3.36189335e-03],\n",
              "          [ 2.10623369e-02,  6.44711405e-03,  3.90940160e-02, ...,\n",
              "            2.81947572e-02,  2.81029381e-02,  2.58975681e-02],\n",
              "          ...,\n",
              "          [ 2.77161086e-03, -9.33946855e-03, -3.96435941e-03, ...,\n",
              "            3.31284921e-03,  4.68998821e-03, -8.24241433e-03],\n",
              "          [ 9.93933622e-03, -1.26227587e-02, -5.30784763e-03, ...,\n",
              "            3.16704577e-03, -2.50813738e-02,  6.99498504e-03],\n",
              "          [-1.09259533e-02,  2.50802208e-02, -4.98637464e-03, ...,\n",
              "           -5.42974379e-03, -2.79875263e-03, -1.12388714e-03]]],\n",
              " \n",
              " \n",
              "        [[[-1.05695715e-02, -6.65004551e-03,  1.14270793e-02, ...,\n",
              "            1.13982856e-02,  2.48910710e-02, -2.01158524e-02],\n",
              "          [ 3.46275163e-03,  5.79921063e-03, -1.63540186e-03, ...,\n",
              "           -6.75595738e-03, -5.29716769e-03, -1.25067402e-02],\n",
              "          [-4.70241671e-03, -3.87823209e-03,  2.08221911e-03, ...,\n",
              "            3.55734415e-02,  1.33386767e-02,  4.47410196e-02],\n",
              "          ...,\n",
              "          [ 1.49224093e-02, -1.12200771e-02,  1.46477595e-02, ...,\n",
              "            7.56622152e-03,  3.02859787e-02, -3.93884303e-03],\n",
              "          [-5.07909758e-03,  1.31783877e-02, -1.02952961e-02, ...,\n",
              "            7.72063248e-03, -2.13399660e-02,  2.11469270e-03],\n",
              "          [ 1.11438399e-02, -1.19275544e-02,  3.20557575e-03, ...,\n",
              "            3.00401030e-03, -1.19526843e-02, -8.13317019e-03]],\n",
              " \n",
              "         [[-1.70508623e-02,  8.58010631e-03, -1.14486006e-03, ...,\n",
              "           -5.15660597e-03,  1.45966867e-02, -2.28679758e-02],\n",
              "          [-3.17657227e-03,  5.48885623e-03, -6.66785199e-05, ...,\n",
              "           -9.54495370e-03, -5.38741006e-03, -1.21885082e-02],\n",
              "          [ 1.06314057e-02,  3.72430380e-03,  2.05148254e-02, ...,\n",
              "            4.78186421e-02,  2.96977889e-02,  5.15434667e-02],\n",
              "          ...,\n",
              "          [ 3.04241665e-02, -1.32622952e-02,  8.83379206e-03, ...,\n",
              "            1.04780542e-03,  2.52286401e-02, -4.45278827e-03],\n",
              "          [-1.25949143e-03,  3.22387321e-03, -2.05024239e-02, ...,\n",
              "            5.14487643e-03, -2.70085242e-02,  2.27415795e-03],\n",
              "          [ 3.74635536e-04,  1.97586371e-03, -2.43942440e-03, ...,\n",
              "           -5.21882903e-03, -1.60979982e-02, -1.23087317e-02]],\n",
              " \n",
              "         [[-1.17229745e-02, -4.97850310e-03, -1.49952564e-02, ...,\n",
              "           -2.01662164e-02, -6.41265698e-03, -1.63828563e-02],\n",
              "          [-4.89720202e-04,  3.05005093e-03, -2.13698624e-03, ...,\n",
              "           -1.25116957e-02, -7.37623428e-04, -9.91498586e-03],\n",
              "          [ 3.77920503e-03,  4.25475789e-03,  4.48718248e-03, ...,\n",
              "            1.36323832e-02,  2.40158159e-02,  2.37192456e-02],\n",
              "          ...,\n",
              "          [ 2.55739931e-02, -8.89623910e-03, -4.37693624e-03, ...,\n",
              "           -1.07840088e-03,  1.47468811e-02, -7.86467455e-03],\n",
              "          [-2.09070556e-03, -6.24532858e-03, -2.55214944e-02, ...,\n",
              "           -1.60773040e-03, -2.46536992e-02,  2.47029914e-03],\n",
              "          [-9.88541869e-04,  3.25043732e-03, -7.95861613e-03, ...,\n",
              "           -6.07489794e-03, -1.01532796e-02, -7.52132060e-03]]]],\n",
              "       dtype=float32)>,\n",
              " <tf.Variable 'block3_conv2_2/bias:0' shape=(256,) dtype=float32, numpy=\n",
              " array([ 1.96750183e-02, -1.37529126e-03,  9.24313217e-02,  1.27414614e-01,\n",
              "         1.92912251e-01,  9.04280916e-02,  6.80206418e-02, -1.09257409e-02,\n",
              "        -5.11011407e-02,  3.73470113e-02, -1.46845924e-02,  3.61276455e-02,\n",
              "         4.47974689e-02,  1.14233188e-01,  3.96334603e-02,  3.30968201e-02,\n",
              "        -4.14270945e-02,  1.26172557e-01,  9.16754156e-02,  1.18464626e-01,\n",
              "        -1.31671187e-02,  7.50441104e-02,  1.28335312e-01,  8.00440181e-03,\n",
              "        -1.07573196e-01,  1.32133102e-03, -3.40635329e-02,  1.16940521e-01,\n",
              "         2.87493374e-02,  3.08547784e-02,  3.87796462e-02, -6.80996701e-02,\n",
              "        -7.13176187e-03,  1.05054155e-02,  2.06267424e-02,  3.34174782e-02,\n",
              "         4.57665790e-03, -5.27579226e-02,  4.83131185e-02, -5.47899045e-02,\n",
              "         1.68360040e-01,  1.15788290e-02,  2.01778896e-02,  1.68149248e-02,\n",
              "         7.08065927e-02,  2.17223540e-01,  1.53843046e-03,  1.64112911e-01,\n",
              "         3.06196604e-03,  1.16954986e-02, -5.86124463e-03,  5.19056506e-02,\n",
              "        -5.61557151e-02,  8.73392746e-02,  1.58808101e-02,  8.77240673e-02,\n",
              "         1.32318228e-01,  3.81806754e-02, -1.87280662e-02, -6.92762062e-02,\n",
              "         5.70531711e-02,  9.26729850e-03,  4.84045595e-02,  2.37994827e-03,\n",
              "         3.50837666e-03,  2.03800365e-01,  1.20056927e-01,  1.70883879e-01,\n",
              "         2.25789636e-01,  8.34129192e-03,  4.15678285e-02,  8.81546885e-02,\n",
              "        -2.30569169e-02,  5.50335534e-02,  4.86409804e-03, -4.03119810e-03,\n",
              "         2.39200722e-02,  7.44936839e-02, -1.64328683e-02, -1.47285322e-02,\n",
              "         2.35676393e-01,  1.22408867e-01,  1.46704437e-02, -1.77873492e-01,\n",
              "        -1.29345879e-01, -3.14137377e-02,  2.27468424e-02,  9.65398178e-03,\n",
              "        -3.20120193e-02, -2.52930503e-02, -8.79025236e-02,  1.34076819e-01,\n",
              "         1.59370661e-01,  8.77960846e-02, -3.43334638e-02,  5.45805022e-02,\n",
              "        -4.89804074e-02,  3.54287066e-02, -1.97445303e-02,  4.43372093e-02,\n",
              "         1.45251527e-01,  7.77085498e-02,  1.02961650e-02, -2.59530023e-02,\n",
              "        -4.75013483e-04, -8.74524266e-02, -7.51014277e-02,  5.91358207e-02,\n",
              "         6.15935996e-02,  9.37355682e-02, -1.49535025e-02,  1.78817362e-02,\n",
              "         2.74845004e-01,  1.53017521e-01,  7.27292001e-02, -1.04169786e-01,\n",
              "         4.42982130e-02,  1.73191041e-01, -6.08791672e-02,  1.77203849e-01,\n",
              "         8.40698332e-02,  6.98892819e-03, -3.18103135e-02,  2.10375153e-02,\n",
              "         4.22864854e-02,  6.35605901e-02,  4.04434502e-02,  3.76647301e-02,\n",
              "         3.59471031e-02,  1.02083944e-01,  8.73470417e-05,  9.38471332e-02,\n",
              "         4.68499288e-02,  6.32981807e-02, -3.78860421e-02,  7.93554038e-02,\n",
              "         1.13128021e-01, -3.96006666e-02, -5.83097935e-02, -8.02249536e-02,\n",
              "        -4.65227999e-02, -2.61594597e-02, -3.32310535e-02,  3.17427353e-03,\n",
              "        -7.52109811e-02,  2.36260928e-02, -7.63228387e-02,  7.11988732e-02,\n",
              "         6.62565529e-02,  1.73571974e-01,  2.45762110e-01, -8.00079331e-02,\n",
              "         1.99536737e-02,  1.06031880e-01,  5.98321632e-02,  3.33041959e-02,\n",
              "         9.50865969e-02,  4.98257298e-03,  8.89858678e-02,  2.47590989e-02,\n",
              "         1.48124650e-01,  1.98556110e-01,  7.35398382e-02,  1.08685516e-01,\n",
              "         2.04420015e-01,  2.04963032e-02,  4.57405373e-02,  4.20015566e-02,\n",
              "         1.85964089e-02, -2.58497410e-02, -6.26892224e-02,  1.17059596e-01,\n",
              "        -2.29490604e-02,  3.40300016e-02,  5.02955355e-02,  1.62097052e-01,\n",
              "        -2.05496908e-04,  1.18654802e-01,  9.64896977e-02,  6.90344572e-02,\n",
              "        -1.41159356e-01,  3.72017443e-04, -7.38080963e-02, -2.61590891e-02,\n",
              "         7.57541806e-02, -7.59534352e-03,  7.93360546e-02,  1.25323590e-02,\n",
              "         1.25249624e-01,  4.01754351e-03,  2.97375340e-02,  2.78345328e-02,\n",
              "        -2.80193053e-02, -2.40374007e-03,  1.14893205e-02,  3.83159034e-02,\n",
              "         3.55407484e-02, -6.24656267e-02,  1.68975070e-01,  6.55031577e-02,\n",
              "        -7.11620823e-02,  1.10839553e-01,  4.87981783e-03,  3.38754095e-02,\n",
              "         1.01495132e-01,  3.48226465e-02,  5.01782522e-02,  4.26199585e-02,\n",
              "         6.07496174e-03, -1.44697577e-02,  6.88180104e-02, -2.36204937e-02,\n",
              "        -5.09823486e-03, -3.54031064e-02, -1.53827097e-03, -1.58810578e-02,\n",
              "         4.25821505e-02, -5.80020947e-03,  1.18461207e-01, -1.95797547e-04,\n",
              "         2.66481228e-02,  6.76563978e-02, -1.81248754e-01, -5.80569245e-02,\n",
              "         2.94329431e-02,  5.82340583e-02,  3.74395847e-02,  1.62397213e-02,\n",
              "         2.10489873e-02,  8.41620490e-02, -3.63396388e-03,  1.31090730e-02,\n",
              "        -2.61265058e-02,  2.01664791e-02,  3.85067798e-02, -1.50281250e-01,\n",
              "         6.60450682e-02, -7.15182498e-02, -4.00999747e-02, -2.08548680e-02,\n",
              "         1.32243648e-01, -1.70564819e-02,  1.42355695e-01,  1.68773502e-01,\n",
              "        -1.45762125e-02,  1.76661983e-02,  1.47060126e-01,  3.11568659e-02,\n",
              "        -8.82530883e-02,  2.04308227e-01,  4.66664173e-02,  2.81380210e-02,\n",
              "        -8.83346796e-03,  7.88244158e-02,  9.81942266e-02,  1.63116872e-01],\n",
              "       dtype=float32)>,\n",
              " <tf.Variable 'block3_conv3_2/kernel:0' shape=(3, 3, 256, 256) dtype=float32, numpy=\n",
              " array([[[[ 2.49182852e-03, -8.25067237e-03, -1.34461222e-03, ...,\n",
              "            8.61167070e-03, -3.73780821e-03,  6.45499909e-04],\n",
              "          [-4.42567188e-03, -1.88350787e-05, -1.74789131e-02, ...,\n",
              "           -1.74075942e-02, -2.41387892e-03, -2.45446875e-03],\n",
              "          [-1.45422723e-02,  6.53489307e-03,  4.29056808e-02, ...,\n",
              "            2.32872367e-03, -8.22560862e-03, -1.34951407e-02],\n",
              "          ...,\n",
              "          [ 8.14430788e-03,  4.64800792e-03,  1.78648401e-02, ...,\n",
              "            1.30022259e-03, -1.02303829e-02, -8.59441701e-03],\n",
              "          [-1.25717523e-03, -4.16684226e-04, -5.34598716e-03, ...,\n",
              "           -1.43156825e-02, -5.26516093e-03, -1.92927010e-03],\n",
              "          [ 7.58334296e-03,  3.03687761e-04,  1.76798610e-03, ...,\n",
              "           -6.30416349e-03,  5.41360758e-04, -2.08757468e-03]],\n",
              " \n",
              "         [[ 5.62601024e-04, -1.57458056e-02, -1.89978105e-03, ...,\n",
              "            3.74664553e-03, -7.80931325e-04,  7.86909834e-03],\n",
              "          [-9.07994434e-03, -1.88095204e-03, -1.08374842e-02, ...,\n",
              "            3.25201056e-03, -8.60407297e-03, -1.06352521e-02],\n",
              "          [-1.02429595e-02,  8.97591282e-03,  2.03796718e-02, ...,\n",
              "           -1.58790015e-02, -3.18478863e-03, -1.46591766e-02],\n",
              "          ...,\n",
              "          [ 2.76015643e-02,  3.51342745e-02,  1.60577446e-02, ...,\n",
              "           -3.92214302e-03, -3.94038716e-03, -1.28798457e-02],\n",
              "          [-9.14710574e-03,  7.83217512e-03, -1.45204505e-03, ...,\n",
              "           -2.50025140e-03,  4.37620515e-03, -2.92862463e-03],\n",
              "          [ 1.53262382e-02,  3.19609744e-03, -3.10626184e-03, ...,\n",
              "           -1.26120343e-03,  1.93217583e-03, -4.34497744e-03]],\n",
              " \n",
              "         [[ 1.19078634e-02,  1.22632412e-02,  1.10837901e-02, ...,\n",
              "           -7.12652551e-03, -4.51076403e-03, -1.80176343e-04],\n",
              "          [ 1.09123939e-04, -2.57430226e-03,  5.92016324e-04, ...,\n",
              "            1.00612864e-02, -6.97242282e-03, -1.89536007e-03],\n",
              "          [-3.65449372e-03, -5.48841013e-03,  2.82002846e-03, ...,\n",
              "           -9.52219777e-03,  1.63100380e-03, -9.41131264e-03],\n",
              "          ...,\n",
              "          [ 2.27532778e-02,  2.56275944e-02,  1.38883954e-02, ...,\n",
              "           -3.09439981e-03,  8.96250270e-03, -1.08324187e-02],\n",
              "          [-1.14783114e-02, -4.79689304e-04, -5.75645873e-03, ...,\n",
              "            5.71634853e-03,  1.44765461e-02, -3.67933162e-03],\n",
              "          [ 1.40898814e-02, -3.01762018e-03, -1.16279358e-02, ...,\n",
              "           -3.89153371e-03,  4.75310662e-04, -1.12566911e-02]]],\n",
              " \n",
              " \n",
              "        [[[-9.41542629e-03, -9.80154704e-03, -3.69167840e-03, ...,\n",
              "            8.45058262e-03, -1.11409568e-03,  1.57259796e-02],\n",
              "          [-2.05228683e-02,  3.40567291e-04, -1.74381770e-02, ...,\n",
              "           -1.73003264e-02, -4.24027769e-03, -1.03721013e-02],\n",
              "          [-8.17882922e-03,  4.71192319e-03,  5.10138553e-03, ...,\n",
              "            2.30808929e-03, -3.67084774e-03, -6.74672890e-03],\n",
              "          ...,\n",
              "          [ 8.09922162e-03, -6.36649085e-03,  7.09572807e-03, ...,\n",
              "            1.55610824e-02, -4.00183955e-03,  8.52918660e-04],\n",
              "          [ 9.46240834e-06, -4.80348710e-03,  6.38567237e-03, ...,\n",
              "           -1.66918933e-02,  7.42614502e-03, -5.22509357e-03],\n",
              "          [ 6.23346865e-03, -8.45635124e-03,  1.28625380e-02, ...,\n",
              "            7.55864847e-03,  3.60822654e-03,  1.02037117e-02]],\n",
              " \n",
              "         [[-9.66143794e-03, -1.66031346e-02, -3.75456340e-03, ...,\n",
              "            3.77679267e-03,  8.85611749e-04,  3.90423387e-02],\n",
              "          [-2.29902640e-02, -5.48137818e-04,  6.26104232e-03, ...,\n",
              "            3.09622195e-03, -1.12797739e-02, -2.21406780e-02],\n",
              "          [-7.34363217e-03,  9.97547805e-03, -1.59962792e-02, ...,\n",
              "           -2.01132614e-02,  4.04101564e-03, -1.30811296e-02],\n",
              "          ...,\n",
              "          [ 2.91116592e-02,  2.56295223e-02, -5.18021779e-03, ...,\n",
              "            1.64482743e-02,  9.89971100e-04, -5.71119506e-03],\n",
              "          [-3.59656615e-03,  3.92737426e-03,  1.15985656e-02, ...,\n",
              "           -4.35973983e-03,  1.28727686e-02, -3.06857913e-03],\n",
              "          [ 1.48936510e-02, -2.79081590e-03,  1.20031787e-02, ...,\n",
              "            1.37832770e-02,  1.05134724e-02,  2.34108530e-02]],\n",
              " \n",
              "         [[ 4.74231754e-04,  3.63741280e-03,  2.15365533e-02, ...,\n",
              "           -1.89999817e-03, -5.15478104e-03,  1.31619368e-02],\n",
              "          [-9.18400660e-03,  1.93454546e-03,  1.09110810e-02, ...,\n",
              "            9.14575998e-03, -8.21557175e-03, -8.30788538e-03],\n",
              "          [-1.69444911e-03, -4.36456734e-03, -2.26653703e-02, ...,\n",
              "           -1.38805434e-02,  1.06112342e-02, -1.10037765e-02],\n",
              "          ...,\n",
              "          [ 2.16357969e-02,  1.74818505e-02, -4.67658462e-03, ...,\n",
              "           -9.58664925e-04,  1.37514127e-02, -7.61160767e-03],\n",
              "          [-1.90485851e-03, -4.57544671e-03,  5.04404213e-03, ...,\n",
              "            7.49490084e-03,  2.18671728e-02, -5.64512424e-03],\n",
              "          [ 1.06539074e-02, -6.43269531e-03, -5.04566648e-04, ...,\n",
              "            8.10153224e-03,  1.10825021e-02,  1.70141142e-02]]],\n",
              " \n",
              " \n",
              "        [[[-4.50136606e-03, -6.02411199e-03,  3.11873481e-03, ...,\n",
              "           -5.44655835e-04,  2.41484423e-03,  2.56585758e-02],\n",
              "          [-1.60623565e-02,  2.61958572e-03, -4.11093468e-03, ...,\n",
              "           -1.52113223e-02, -2.44396157e-03, -9.40611679e-03],\n",
              "          [ 1.03867343e-02,  9.93811246e-03, -6.63214130e-03, ...,\n",
              "            4.57423186e-04, -1.41171238e-03,  1.74400141e-03],\n",
              "          ...,\n",
              "          [-3.64836096e-03, -3.09328665e-03, -1.06807053e-02, ...,\n",
              "            1.12805534e-02, -2.41819987e-04,  9.97136254e-03],\n",
              "          [ 2.19470632e-04, -1.80030242e-03,  4.31476161e-03, ...,\n",
              "           -1.55662363e-02,  1.01363128e-02, -5.82250673e-03],\n",
              "          [-1.94603333e-03, -1.33034596e-02,  1.00488653e-02, ...,\n",
              "            1.57581102e-02,  6.38718856e-03,  9.57524404e-03]],\n",
              " \n",
              "         [[-1.47843594e-03, -1.02676339e-02,  1.72790524e-03, ...,\n",
              "           -7.44713098e-03,  7.77076697e-03,  6.32125139e-02],\n",
              "          [-1.55830020e-02, -9.06818022e-04,  1.38317700e-02, ...,\n",
              "            1.86586718e-03, -1.31476419e-02, -2.01811269e-02],\n",
              "          [ 4.06060950e-04,  1.30023547e-02, -2.33655237e-02, ...,\n",
              "           -2.13477034e-02,  1.25812916e-02, -6.86774962e-03],\n",
              "          ...,\n",
              "          [ 8.52249004e-03,  2.30366867e-02, -2.14423127e-02, ...,\n",
              "            2.31715962e-02,  7.81933870e-03,  9.37404856e-03],\n",
              "          [ 3.03807063e-03,  3.03328532e-04,  1.46860117e-02, ...,\n",
              "           -4.26525855e-03,  1.57574061e-02, -4.55228426e-03],\n",
              "          [-1.30841765e-03, -5.18516358e-03,  4.14379733e-03, ...,\n",
              "            2.45135967e-02,  1.46029377e-02,  2.09346768e-02]],\n",
              " \n",
              "         [[ 1.05792219e-02,  7.71222962e-03,  1.60458777e-02, ...,\n",
              "           -1.14335474e-02,  1.80619667e-04,  3.85264903e-02],\n",
              "          [-3.40054696e-03,  3.24828108e-03, -2.46915198e-03, ...,\n",
              "            1.20599633e-02, -8.42132140e-03, -9.39693395e-03],\n",
              "          [-6.27992442e-03,  5.48810531e-05, -3.39485556e-02, ...,\n",
              "           -1.67110953e-02,  2.01697182e-02, -9.91834793e-03],\n",
              "          ...,\n",
              "          [ 6.44019945e-03,  1.73932556e-02, -1.23419259e-02, ...,\n",
              "            4.06535063e-03,  1.56269483e-02,  4.64981329e-03],\n",
              "          [ 4.31994861e-03, -6.28653821e-03,  1.34719890e-02, ...,\n",
              "            1.59082916e-02,  2.07160246e-02, -4.53479309e-03],\n",
              "          [-8.85906070e-03, -5.81115717e-03, -5.50442899e-04, ...,\n",
              "            1.17796622e-02,  1.62397400e-02,  2.18943544e-02]]]],\n",
              "       dtype=float32)>,\n",
              " <tf.Variable 'block3_conv3_2/bias:0' shape=(256,) dtype=float32, numpy=\n",
              " array([ 3.54152434e-02,  1.07918017e-01, -1.80004574e-02,  4.33173068e-02,\n",
              "        -5.59721142e-02,  3.76750678e-02,  7.40262270e-02,  1.16711902e-02,\n",
              "        -4.17180508e-02, -1.17407888e-01,  6.78363219e-02,  1.22183353e-01,\n",
              "         2.05125120e-02,  3.72891687e-02, -1.76102147e-02, -5.29137291e-02,\n",
              "         1.31046280e-01, -2.64913682e-02, -3.43576743e-04, -1.73489619e-02,\n",
              "        -4.91021085e-04, -2.93992013e-02, -1.80223621e-02,  3.43877301e-02,\n",
              "         1.05296724e-01, -3.09039615e-02, -5.63405044e-02, -2.91478150e-02,\n",
              "        -5.64637184e-02,  1.73687801e-01,  2.17615440e-02,  2.04272568e-01,\n",
              "         1.78167019e-02, -2.08299085e-02,  3.57796438e-02, -3.39595117e-02,\n",
              "         4.13637934e-03,  5.32299802e-02,  6.11784309e-02, -2.24591643e-02,\n",
              "         2.53849160e-02,  7.26907048e-03,  1.39820218e-01,  1.36458054e-01,\n",
              "        -4.59598787e-02,  1.15342690e-02,  3.22952569e-02, -1.42887920e-01,\n",
              "        -1.28008483e-03, -2.50399150e-02,  9.68392193e-02, -8.88353959e-02,\n",
              "         4.10740227e-02, -3.00087966e-02,  2.81882793e-01,  5.05600125e-02,\n",
              "        -1.34811839e-02,  5.92962280e-02, -2.92030107e-02,  9.09703039e-03,\n",
              "         2.90436903e-03,  7.35089853e-02, -6.01027114e-03, -4.77841496e-02,\n",
              "         7.36456318e-03, -6.64260387e-02, -6.09310083e-02,  3.67748976e-01,\n",
              "        -1.16953542e-02,  4.41312604e-02,  1.32252788e-02,  2.26632342e-01,\n",
              "         9.52477679e-02, -2.39434820e-02, -5.79178929e-02, -5.94564974e-02,\n",
              "        -8.09515342e-02,  4.82652113e-02,  7.17421249e-03,  2.41490360e-02,\n",
              "        -1.98139753e-02,  2.84963101e-02, -8.00397545e-02,  2.38018021e-01,\n",
              "        -3.05617340e-02,  1.00589961e-01,  1.44958310e-02,  3.77400517e-02,\n",
              "         7.74130449e-02,  1.30725756e-01,  7.96947032e-02, -1.45637768e-03,\n",
              "        -3.19442749e-02, -1.51081849e-02,  3.52219008e-02, -4.26961035e-02,\n",
              "         1.68760002e-01,  2.80141309e-02,  1.78513229e-01, -4.34451364e-02,\n",
              "        -2.37757768e-02, -3.47408876e-02, -1.49866249e-02,  5.66772446e-02,\n",
              "         1.29111171e-01,  6.48782328e-02, -1.44754872e-02, -2.24494301e-02,\n",
              "        -2.54037064e-02,  3.96308079e-02, -2.56226268e-02, -5.03154919e-02,\n",
              "        -4.97624055e-02,  2.23401305e-03, -2.17827000e-02, -2.89310124e-02,\n",
              "        -2.45345235e-02, -1.02057420e-02, -5.17127523e-03,  1.35025755e-01,\n",
              "         9.88981575e-02, -1.56548005e-02, -9.30538997e-02, -7.71050751e-02,\n",
              "        -1.69187840e-02, -4.97867577e-02, -2.05100849e-02, -2.40226332e-02,\n",
              "         1.10174127e-01,  6.45432994e-03, -6.35399818e-02, -1.00426357e-02,\n",
              "         6.12853579e-02,  6.90499842e-02,  5.01222908e-03,  3.43363807e-02,\n",
              "         7.83027411e-02, -5.07733002e-02,  1.40164588e-02, -6.67239502e-02,\n",
              "         4.06932011e-02,  2.68647261e-02, -6.07886091e-02, -9.31503717e-03,\n",
              "        -2.62611974e-02,  3.05419695e-03, -1.34765180e-02,  9.73728299e-02,\n",
              "         1.78622589e-01,  4.50597964e-02,  5.42690158e-02,  7.46591017e-02,\n",
              "        -8.95660184e-03,  7.22454041e-02, -3.68183441e-02, -2.30303593e-02,\n",
              "         7.66965896e-02,  1.46697029e-01,  2.13573244e-03,  7.85259679e-02,\n",
              "         3.42821283e-03,  1.11104727e-01,  4.24453318e-02,  1.09375820e-01,\n",
              "        -6.04121909e-02, -8.60929023e-03,  4.85750735e-02,  2.85593793e-02,\n",
              "         1.59954399e-01, -3.05411941e-03,  3.45985368e-02, -4.95158508e-02,\n",
              "         1.74595189e-05, -9.63191688e-02, -4.78641056e-02, -3.91172655e-02,\n",
              "        -4.34033386e-02,  4.52988893e-02,  6.55773655e-02, -2.72106268e-02,\n",
              "        -2.12168340e-02,  1.46709710e-01,  3.16328891e-02,  8.86552259e-02,\n",
              "         2.89379451e-02,  2.73449346e-02, -2.53844894e-02, -1.90591477e-02,\n",
              "        -3.78769357e-03, -5.86589575e-02,  6.94475025e-02,  9.80708972e-02,\n",
              "        -5.76754995e-02,  5.84980808e-02,  2.11332172e-01,  3.06425267e-03,\n",
              "        -2.66177114e-02,  8.75359029e-02,  1.38149649e-01,  2.33814374e-01,\n",
              "         2.02122167e-01, -5.10597089e-03, -2.80219093e-02,  5.77546321e-02,\n",
              "        -5.45554142e-03,  1.32973596e-01, -6.44019470e-02,  1.02306986e-02,\n",
              "         2.11395919e-02, -8.47095437e-03, -1.46873491e-02, -8.90242215e-03,\n",
              "         1.57834932e-01,  1.07433885e-01,  7.52661005e-02, -6.60077631e-02,\n",
              "        -2.63087489e-02, -2.50031222e-02, -5.58990352e-02,  1.49529558e-02,\n",
              "         1.06838427e-01,  2.11164802e-01,  1.23072572e-01, -2.98848525e-02,\n",
              "        -1.59130655e-02, -4.41072173e-02, -3.21661904e-02, -1.79614685e-02,\n",
              "         2.25747688e-04, -7.31781572e-02,  9.49809700e-02, -4.98221256e-02,\n",
              "         5.14554046e-03, -5.61895669e-02,  7.96963274e-02,  1.39233992e-01,\n",
              "         5.66332527e-02,  3.33853289e-02, -5.52441776e-02, -1.10003902e-02,\n",
              "         1.32760391e-01,  1.08468086e-01, -9.70453620e-02,  4.95204031e-02,\n",
              "        -2.47506332e-02, -1.51634403e-02,  5.94771743e-01,  6.86122477e-02,\n",
              "         1.20992266e-01,  4.66077290e-02, -3.62980738e-02, -1.40720494e-02,\n",
              "         1.71003804e-01, -6.05119439e-03,  5.99404657e-03, -2.67574973e-02],\n",
              "       dtype=float32)>,\n",
              " <tf.Variable 'block4_conv1_2/kernel:0' shape=(3, 3, 256, 512) dtype=float32, numpy=\n",
              " array([[[[-1.24538150e-02,  8.40655994e-03, -5.28845051e-03, ...,\n",
              "           -2.04581907e-03, -3.92359449e-03,  1.30683812e-03],\n",
              "          [ 1.15566896e-02,  2.46055960e-03, -4.09082584e-02, ...,\n",
              "           -4.92062652e-03, -1.63423386e-03,  8.94230697e-03],\n",
              "          [-1.43469922e-04, -5.65873180e-03,  1.84066985e-02, ...,\n",
              "           -2.08840682e-03,  2.63321817e-06, -2.50728261e-02],\n",
              "          ...,\n",
              "          [ 1.37888230e-02, -6.58180192e-03,  9.65370331e-03, ...,\n",
              "            7.17610447e-03,  3.45725450e-03,  5.33173978e-03],\n",
              "          [ 2.65833316e-03,  7.77704641e-04,  2.86239345e-04, ...,\n",
              "           -5.40583069e-03,  8.93119723e-03,  1.40043022e-02],\n",
              "          [-8.53933115e-03,  1.43394794e-03, -2.91879033e-03, ...,\n",
              "            3.77660524e-03,  2.05454584e-02, -1.35868033e-02]],\n",
              " \n",
              "         [[-1.20176468e-02,  1.51250837e-03,  3.43130133e-03, ...,\n",
              "           -1.57830697e-02, -2.39501009e-03,  2.93573504e-03],\n",
              "          [ 1.07167801e-02, -1.72885903e-03, -1.83217339e-02, ...,\n",
              "           -3.87932011e-03, -1.74722821e-02,  3.09405895e-03],\n",
              "          [-2.78812763e-03,  1.09002152e-02,  7.31469830e-03, ...,\n",
              "            1.32350891e-03,  5.71234105e-03, -2.06499193e-02],\n",
              "          ...,\n",
              "          [ 5.34640905e-03, -7.61074666e-03, -2.95266091e-05, ...,\n",
              "            1.06462219e-03,  7.16414442e-03,  5.50952321e-03],\n",
              "          [-1.97489071e-03, -5.18740201e-03, -3.50479130e-03, ...,\n",
              "           -7.65207084e-03,  6.48583705e-03,  7.29372769e-05],\n",
              "          [-8.13952927e-03, -1.72344397e-03, -1.71952751e-02, ...,\n",
              "            6.51383121e-03,  2.62788888e-02, -7.40201725e-03]],\n",
              " \n",
              "         [[-1.13097280e-02, -2.71398202e-03,  5.21831634e-03, ...,\n",
              "            3.75532242e-03, -4.37350944e-03, -1.71778537e-03],\n",
              "          [ 9.51003470e-03,  2.10385933e-03, -6.23627566e-03, ...,\n",
              "            9.84872226e-04, -1.22357579e-02, -5.77230006e-03],\n",
              "          [ 1.09487341e-03,  2.16768365e-02, -1.11458432e-02, ...,\n",
              "           -1.15952350e-03,  7.16441032e-03, -6.74266228e-03],\n",
              "          ...,\n",
              "          [ 3.84493452e-03,  6.50770171e-03, -3.08423012e-04, ...,\n",
              "            7.76557205e-03,  4.50123427e-03,  2.94768345e-03],\n",
              "          [-5.20469574e-03,  2.53336993e-03, -2.00857781e-03, ...,\n",
              "            6.74798503e-04,  1.27291884e-02, -5.95079921e-03],\n",
              "          [-4.31006867e-03, -4.26639896e-03, -1.50389588e-02, ...,\n",
              "           -6.62087603e-03,  1.03521571e-02,  2.33515655e-03]]],\n",
              " \n",
              " \n",
              "        [[[-1.66037567e-02,  2.41671409e-02, -1.76821016e-02, ...,\n",
              "           -8.38128850e-03, -3.02293082e-03,  3.58365453e-03],\n",
              "          [ 9.80825536e-03,  1.05249183e-02, -4.66881320e-02, ...,\n",
              "           -7.78164901e-03, -3.83233977e-03,  2.94483802e-03],\n",
              "          [ 1.34947952e-02, -1.25661753e-02,  1.29038952e-02, ...,\n",
              "            1.43833098e-03, -5.72983874e-03, -1.78362131e-02],\n",
              "          ...,\n",
              "          [ 9.57040023e-03,  1.17314365e-02,  1.55258663e-02, ...,\n",
              "            2.69203974e-05,  2.30762083e-03,  7.98452704e-04],\n",
              "          [-2.26363889e-03, -2.44599045e-03,  5.42335818e-03, ...,\n",
              "           -7.61786243e-04,  7.27130566e-03,  2.00658664e-02],\n",
              "          [-6.25453144e-03,  8.70768726e-03,  5.96766314e-03, ...,\n",
              "            2.25311015e-02,  1.17731886e-02, -8.07471387e-03]],\n",
              " \n",
              "         [[-2.05247719e-02,  9.02097579e-03, -1.39437476e-03, ...,\n",
              "           -1.84835698e-02,  1.36483200e-02,  1.48000638e-03],\n",
              "          [ 8.35212879e-03, -3.76963033e-03, -2.36531124e-02, ...,\n",
              "           -4.67878534e-03, -1.02635678e-02, -9.82333149e-05],\n",
              "          [ 1.35796964e-02, -1.72847509e-02,  9.88537073e-03, ...,\n",
              "            7.85652269e-03,  1.02855563e-02, -2.21692659e-02],\n",
              "          ...,\n",
              "          [ 4.50371159e-03,  7.92721228e-04,  8.28000717e-03, ...,\n",
              "           -1.25710340e-03,  2.60498724e-03,  6.89739687e-03],\n",
              "          [-4.07085335e-03, -4.51655919e-03, -2.78022187e-03, ...,\n",
              "            1.75143685e-03,  7.57344998e-03,  1.27716700e-03],\n",
              "          [-4.38698288e-03,  1.11662695e-04, -1.52793936e-02, ...,\n",
              "            3.82050462e-02,  3.65496846e-03, -6.30834652e-03]],\n",
              " \n",
              "         [[-1.67291705e-02, -7.51205778e-04,  8.62288661e-03, ...,\n",
              "           -4.92068566e-03,  2.60210619e-03, -8.31924565e-03],\n",
              "          [ 7.60383205e-03, -2.44896696e-03, -9.95151792e-03, ...,\n",
              "            2.84005492e-03,  1.40986012e-04, -7.82902353e-03],\n",
              "          [ 2.45916261e-03, -6.49120752e-03, -8.32979660e-03, ...,\n",
              "            7.72433681e-03,  1.30170006e-02, -1.23488028e-02],\n",
              "          ...,\n",
              "          [ 1.33765105e-03,  7.21688429e-03,  1.26626331e-03, ...,\n",
              "            3.94847291e-03,  5.32880379e-03, -2.07663863e-03],\n",
              "          [-2.70236470e-03,  1.28381781e-03, -6.93748286e-03, ...,\n",
              "            8.98882467e-03,  1.46908136e-02, -4.21756599e-03],\n",
              "          [-2.33115349e-03, -6.12587482e-03, -2.12312099e-02, ...,\n",
              "            9.15342360e-04,  3.17362952e-04,  1.23123394e-03]]],\n",
              " \n",
              " \n",
              "        [[[-1.45651354e-02,  9.64931585e-03, -1.16087059e-02, ...,\n",
              "            2.59297341e-03, -8.05760548e-03,  2.21103709e-03],\n",
              "          [ 6.19267486e-03,  8.93716048e-03, -4.51339036e-02, ...,\n",
              "           -6.12378679e-03, -4.00708383e-03,  6.47111796e-03],\n",
              "          [ 1.43068740e-02, -2.66728899e-03,  3.41038289e-03, ...,\n",
              "            3.44638783e-03, -8.62873974e-04, -1.33675877e-02],\n",
              "          ...,\n",
              "          [ 1.29059236e-02,  9.14617069e-03,  8.28087237e-03, ...,\n",
              "           -4.39318595e-03, -8.14242568e-03, -2.26692040e-03],\n",
              "          [-1.31062279e-03, -5.64920157e-03,  6.37932634e-03, ...,\n",
              "            6.66187890e-03,  4.44209296e-03,  4.41963132e-03],\n",
              "          [-6.42832462e-03,  4.18221578e-03,  7.65334209e-03, ...,\n",
              "            1.20814089e-02, -6.66856999e-03,  3.25094647e-04]],\n",
              " \n",
              "         [[-1.66320223e-02,  4.54504183e-03, -6.67143054e-03, ...,\n",
              "            2.28197756e-03, -6.31665680e-05, -4.71796095e-03],\n",
              "          [ 2.97540380e-03, -6.40762178e-03, -2.85963546e-02, ...,\n",
              "           -2.35724798e-03,  4.74322308e-03,  4.67349339e-04],\n",
              "          [ 2.36185007e-02, -1.89911220e-02,  4.60000196e-03, ...,\n",
              "            1.08400211e-02, -9.18388832e-03, -2.74709109e-02],\n",
              "          ...,\n",
              "          [ 8.74977279e-03,  1.61244010e-03,  3.06530995e-03, ...,\n",
              "            4.53018304e-03, -7.39837857e-03,  4.47823061e-03],\n",
              "          [-1.20457367e-03, -2.87331175e-03, -5.18758828e-03, ...,\n",
              "            1.17142722e-02,  7.62202404e-03, -5.77956159e-03],\n",
              "          [-4.07704106e-03,  5.63840521e-03, -1.10617159e-02, ...,\n",
              "            2.38051061e-02, -1.34268589e-02, -2.97562080e-03]],\n",
              " \n",
              "         [[-8.99161492e-03,  5.84716024e-03,  5.29400352e-03, ...,\n",
              "            3.04830913e-03, -1.18276821e-02, -8.41523055e-03],\n",
              "          [ 3.12718400e-03, -5.05524641e-03, -1.94435567e-02, ...,\n",
              "            3.33701703e-03,  1.45587865e-02, -4.61388379e-03],\n",
              "          [ 1.11383200e-02, -2.28672028e-02,  2.00467315e-04, ...,\n",
              "           -3.49199137e-04, -8.52558948e-03, -1.46135921e-02],\n",
              "          ...,\n",
              "          [ 4.12542978e-03,  1.88087288e-03, -2.15299334e-03, ...,\n",
              "            3.59076308e-03, -1.91574858e-03, -3.53228627e-03],\n",
              "          [-2.84922371e-05,  9.47301451e-04, -8.46835505e-03, ...,\n",
              "            1.27441790e-02,  1.32457484e-02, -2.80284905e-03],\n",
              "          [-6.17068168e-03, -5.06139966e-03, -1.87711921e-02, ...,\n",
              "           -2.79223267e-03, -1.10712685e-02,  4.57540294e-03]]]],\n",
              "       dtype=float32)>,\n",
              " <tf.Variable 'block4_conv1_2/bias:0' shape=(512,) dtype=float32, numpy=\n",
              " array([ 0.01348567,  0.00756114,  0.06701895,  0.04177905,  0.00131124,\n",
              "         0.19431135, -0.04237143,  0.02754786,  0.07195634,  0.0540045 ,\n",
              "         0.05481127,  0.00045339,  0.01170474,  0.07333044,  0.06471756,\n",
              "        -0.01727704,  0.0117172 , -0.00914959,  0.05935393,  0.00778987,\n",
              "         0.19473521, -0.03160755,  0.08230364,  0.00812414, -0.01093625,\n",
              "         0.11831848, -0.00162986, -0.03104967,  0.10524632,  0.08911344,\n",
              "        -0.01753394,  0.01114011,  0.0273301 ,  0.03628114,  0.11654162,\n",
              "         0.0065666 ,  0.05314495, -0.07114487,  0.02403423,  0.05467438,\n",
              "         0.01867165, -0.01507242,  0.06879217,  0.01969217, -0.01445228,\n",
              "         0.10442033,  0.0295262 ,  0.01075144,  0.12457283,  0.00351205,\n",
              "        -0.0739503 , -0.01016993,  0.01367457,  0.05722002, -0.01053831,\n",
              "         0.06229207,  0.04473517,  0.05864166,  0.04295328,  0.03258709,\n",
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              "         0.07937651,  0.07459345,  0.04317596,  0.0418528 , -0.00830521,\n",
              "         0.12413809,  0.02634931,  0.01499857, -0.01562519,  0.13549338,\n",
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              "        -0.05143043,  0.02446899,  0.02469411,  0.04909822,  0.05199512,\n",
              "         0.1023118 ,  0.05641348, -0.01583332, -0.03320146, -0.05584373,\n",
              "         0.00470411, -0.14548235, -0.03380134,  0.03405067,  0.05419153,\n",
              "        -0.00342409,  0.02665846, -0.01147734,  0.00723815,  0.02606396,\n",
              "         0.05343403,  0.06094407,  0.10145702,  0.02285037,  0.0050243 ,\n",
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              "        -0.01263917,  0.01668115,  0.07473072, -0.03339927,  0.09063061,\n",
              "         0.08986019,  0.01870072,  0.03427459,  0.01882564,  0.0362142 ,\n",
              "         0.02372144, -0.01470978,  0.02087447,  0.03057157,  0.14249216,\n",
              "         0.03813924, -0.06163649, -0.0136106 ,  0.01268591,  0.0237574 ,\n",
              "         0.00188927, -0.03021016, -0.02962662, -0.01139644,  0.07387836,\n",
              "        -0.02347502,  0.04443461, -0.0061994 ,  0.02155864, -0.06407253,\n",
              "        -0.02514911, -0.06183469,  0.09569915, -0.00980667, -0.01131836,\n",
              "         0.08887472,  0.06592884,  0.01114294, -0.03150102,  0.02841251,\n",
              "         0.01129664,  0.02996553, -0.07221939,  0.00725339,  0.00594673,\n",
              "        -0.01459754,  0.05204234, -0.02142872,  0.1504253 , -0.01999968,\n",
              "         0.12134195,  0.04612613, -0.01188883, -0.00529259, -0.02203224,\n",
              "         0.04083564,  0.00939796, -0.03749346,  0.13649143,  0.0641688 ,\n",
              "        -0.00701836,  0.00902929, -0.00858151,  0.11478466,  0.01996962,\n",
              "         0.01550458, -0.01010027,  0.00470255, -0.00364825,  0.08448643,\n",
              "         0.0163641 ,  0.06599426, -0.01890062, -0.00969238, -0.05405046,\n",
              "         0.04458565,  0.06576306, -0.02386773, -0.03610412,  0.00980019,\n",
              "        -0.09455095,  0.00291193,  0.0237151 ,  0.01857767, -0.02965006,\n",
              "        -0.01155117,  0.11206248, -0.01298213,  0.00983512, -0.0407909 ,\n",
              "         0.03063179,  0.14880319,  0.03121548, -0.03412959,  0.00541294,\n",
              "         0.03908843, -0.04607837,  0.05219414,  0.05060191, -0.05693981,\n",
              "         0.02740915, -0.01628359,  0.18281287,  0.03640307,  0.06375421,\n",
              "        -0.00875941, -0.0144028 ,  0.01180603, -0.00780482,  0.12496937,\n",
              "         0.03204761, -0.04198339,  0.00742837,  0.00188249, -0.0122803 ,\n",
              "        -0.05174524,  0.03891598,  0.09401204,  0.02095588,  0.05364544,\n",
              "         0.02157122, -0.0223824 , -0.05735386, -0.03900814,  0.0450025 ,\n",
              "        -0.0018383 ,  0.01242615, -0.00938961,  0.00032437,  0.06582566,\n",
              "         0.02123269, -0.01413163, -0.03544443, -0.00126603,  0.00080917,\n",
              "         0.09520332,  0.01864311, -0.01185386, -0.04681906,  0.04993291,\n",
              "        -0.01657778, -0.04607387,  0.03666889,  0.08055599,  0.1407983 ,\n",
              "        -0.05214395, -0.00461419,  0.01410781, -0.02427171,  0.00154092,\n",
              "         0.126334  ,  0.01971441,  0.01302725,  0.03932913,  0.03358722,\n",
              "         0.00090988, -0.02318616,  0.0212261 , -0.0188354 ,  0.03896225,\n",
              "         0.04033942,  0.00431076, -0.05325833,  0.03454122, -0.00824694,\n",
              "        -0.02183646, -0.04885524,  0.0934401 ,  0.01431899, -0.01373951,\n",
              "        -0.01864055,  0.01714154,  0.02857943, -0.00934389,  0.11435111,\n",
              "         0.16847515,  0.14865492,  0.06036819,  0.10966414, -0.00876428,\n",
              "        -0.00182351, -0.0097525 ,  0.10607314,  0.05854449, -0.05090364,\n",
              "         0.03826505,  0.01531792,  0.1413483 ,  0.1375193 ,  0.13819131,\n",
              "        -0.03390937,  0.03122845,  0.07244698,  0.01329123,  0.0786965 ,\n",
              "        -0.01342774, -0.01067122,  0.04975825,  0.060603  , -0.04138377,\n",
              "         0.2900992 ,  0.09210091,  0.04867851, -0.0245617 ,  0.04394877,\n",
              "        -0.01570157, -0.01720707,  0.01999883, -0.06262601,  0.04849933,\n",
              "         0.17290471, -0.01396008,  0.01316997, -0.01597587,  0.2017592 ,\n",
              "        -0.01904629,  0.03416235,  0.0256703 , -0.02117538,  0.08179075,\n",
              "         0.02009195,  0.01043306,  0.03629194, -0.05558422, -0.01445823,\n",
              "         0.01679071,  0.01544859,  0.3148451 , -0.01249089, -0.03043203,\n",
              "        -0.02117118,  0.00314888,  0.01473002,  0.05949752, -0.0103932 ,\n",
              "         0.05455083, -0.03988231,  0.01832076, -0.07607763, -0.06348411,\n",
              "         0.04249362,  0.01351619,  0.10402187, -0.00215642,  0.01042758,\n",
              "        -0.06371963,  0.13125049, -0.00413846, -0.01627147, -0.00981681,\n",
              "        -0.04110023,  0.00102312, -0.02674357, -0.01093246, -0.02083088,\n",
              "         0.02330049,  0.06305598, -0.02870597, -0.06720389,  0.05937791,\n",
              "        -0.02225667,  0.07693806,  0.01540439,  0.03038635,  0.00505839,\n",
              "        -0.02343038, -0.03993971,  0.06336603,  0.00374609, -0.00875121,\n",
              "         0.04515095, -0.01071331,  0.02696336,  0.0318309 , -0.04767392,\n",
              "         0.01778279, -0.0170456 ,  0.12305465, -0.06846349, -0.03814644,\n",
              "         0.07269525,  0.06233151,  0.14082748,  0.03557994,  0.04744978,\n",
              "         0.05929145, -0.00076887,  0.08290517,  0.01969881, -0.00040537,\n",
              "        -0.03909905,  0.01344012, -0.0103886 , -0.01689904, -0.05682559,\n",
              "        -0.01224083,  0.03786673, -0.0409046 ,  0.01133572,  0.02511554,\n",
              "        -0.01610163, -0.01083341,  0.08275371, -0.02322658, -0.02001276,\n",
              "        -0.02932116,  0.11604706, -0.01643755, -0.05238251,  0.02983823,\n",
              "         0.00451954,  0.04716583,  0.01829614,  0.03937242,  0.0603151 ,\n",
              "         0.02920038, -0.02627408, -0.01419285,  0.14424483, -0.02115806,\n",
              "        -0.03981708,  0.08781821,  0.00357609,  0.01189661, -0.00536245,\n",
              "         0.00421988,  0.01712015, -0.03556567,  0.00546586,  0.0413718 ,\n",
              "         0.02160333,  0.00648857,  0.08955134, -0.01836678, -0.05678857,\n",
              "         0.06376465,  0.07066101,  0.00479759,  0.04906932,  0.00496414,\n",
              "         0.00224556,  0.01189737, -0.00762232,  0.03490169,  0.06040287,\n",
              "         0.04139943, -0.00251852,  0.00871861, -0.04251447, -0.00289279,\n",
              "         0.00944588, -0.01643149,  0.01481972,  0.08260825,  0.06986772,\n",
              "         0.0169169 ,  0.08311743,  0.00420612,  0.13570775, -0.01252192,\n",
              "        -0.0481341 , -0.00103277,  0.05884005,  0.01856414,  0.0359413 ,\n",
              "         0.05466994,  0.06611989, -0.03170012, -0.00673592, -0.07229806,\n",
              "         0.07541752, -0.06429004,  0.08279631, -0.03808228,  0.03377485,\n",
              "        -0.02604658, -0.06577716,  0.07294629,  0.04258815,  0.01734693,\n",
              "         0.03642308,  0.05075784, -0.00875437,  0.06135759,  0.03979362,\n",
              "        -0.00413027,  0.0101658 ], dtype=float32)>,\n",
              " <tf.Variable 'block4_conv2_2/kernel:0' shape=(3, 3, 512, 512) dtype=float32, numpy=\n",
              " array([[[[ 7.11654220e-03,  7.00819055e-06,  9.24700499e-03, ...,\n",
              "            4.03929735e-03,  8.05561524e-03, -3.74245713e-03],\n",
              "          [ 1.12781115e-03,  1.61532906e-03, -9.08267568e-04, ...,\n",
              "           -7.93790072e-03, -4.59095975e-03, -8.13464867e-04],\n",
              "          [-4.63789236e-03, -1.18727237e-02,  6.58529717e-03, ...,\n",
              "            7.42091658e-03, -6.53812988e-03, -2.42086244e-03],\n",
              "          ...,\n",
              "          [ 1.28063676e-03,  1.49819313e-03,  7.28668272e-03, ...,\n",
              "           -5.99841867e-03, -2.01151473e-03, -1.18386478e-03],\n",
              "          [-4.89709014e-03, -6.26946846e-03, -5.09714335e-03, ...,\n",
              "            1.26905064e-03,  1.07506765e-02, -2.44210777e-03],\n",
              "          [ 2.12570513e-03, -3.61318327e-03, -7.26481713e-03, ...,\n",
              "            3.64817417e-04,  1.50787262e-02,  4.10703570e-03]],\n",
              " \n",
              "         [[ 6.64269971e-03, -6.01840531e-03,  9.42177977e-03, ...,\n",
              "            4.53453884e-03,  4.71206789e-04,  3.50896595e-03],\n",
              "          [-1.24128824e-02,  1.62265194e-03,  2.18410187e-05, ...,\n",
              "           -9.26828291e-03, -1.32720219e-02,  7.84974638e-03],\n",
              "          [-2.27750093e-03, -1.37851508e-02,  6.04773080e-03, ...,\n",
              "            5.82123734e-03, -4.03309939e-03, -3.08526703e-03],\n",
              "          ...,\n",
              "          [ 9.42836609e-03, -7.80543603e-04,  1.71435010e-02, ...,\n",
              "           -7.94082507e-03, -7.73798907e-04,  3.02146119e-03],\n",
              "          [-3.22291674e-03, -2.85354297e-04, -2.08436535e-03, ...,\n",
              "           -4.60813055e-03, -5.56954136e-03,  6.86109858e-03],\n",
              "          [ 9.59297060e-04,  7.38721387e-03, -8.91729910e-03, ...,\n",
              "           -1.65850704e-03,  7.24582188e-03,  6.19835919e-03]],\n",
              " \n",
              "         [[ 2.34439736e-03, -9.28215683e-03, -3.19302635e-04, ...,\n",
              "            8.40835925e-03,  4.12485213e-04,  3.09582963e-03],\n",
              "          [-1.55776711e-02, -1.08954648e-03, -4.28956561e-03, ...,\n",
              "           -1.46012632e-02, -1.17095094e-03, -1.09702547e-03],\n",
              "          [-7.46384822e-03, -6.07428560e-03,  1.01981256e-02, ...,\n",
              "           -3.00147524e-03,  6.63558196e-04, -6.11750875e-03],\n",
              "          ...,\n",
              "          [ 4.24216688e-03,  4.56949836e-03,  8.23827088e-03, ...,\n",
              "           -5.40188514e-03, -8.07413179e-03,  1.09999124e-02],\n",
              "          [-7.86238699e-04,  1.90356933e-03,  1.71771063e-03, ...,\n",
              "           -2.16562231e-03, -1.10405972e-02,  9.30893887e-03],\n",
              "          [ 6.02629362e-03,  1.86428446e-02, -1.34665128e-02, ...,\n",
              "           -8.40879139e-03,  7.48337386e-03, -4.10805363e-03]]],\n",
              " \n",
              " \n",
              "        [[[ 5.44611085e-03, -9.18421778e-04,  9.77920461e-03, ...,\n",
              "           -1.19165263e-04, -3.40916682e-03, -6.98734634e-03],\n",
              "          [ 2.51410692e-03,  4.60237265e-03, -2.46173400e-03, ...,\n",
              "           -5.48852608e-03, -7.09898863e-03,  5.42021822e-03],\n",
              "          [-9.05828271e-03, -1.00242114e-02,  2.94465595e-03, ...,\n",
              "            9.01548378e-03,  6.37277029e-04, -2.18915544e-03],\n",
              "          ...,\n",
              "          [-3.00789997e-03, -9.66227599e-05,  1.85708259e-03, ...,\n",
              "           -2.42409506e-03,  2.34206222e-04, -3.27465497e-03],\n",
              "          [-5.01462910e-03, -3.50114633e-03, -6.08791783e-03, ...,\n",
              "           -7.96810200e-04,  2.84676291e-02, -1.13302022e-02],\n",
              "          [-8.52283556e-03, -1.07422760e-02, -2.84677697e-03, ...,\n",
              "            6.36414066e-03,  1.55793177e-02,  2.62972061e-03]],\n",
              " \n",
              "         [[ 6.34042593e-03, -5.55177638e-03,  1.12122018e-02, ...,\n",
              "            3.84862011e-04, -7.39399204e-03, -2.59233406e-03],\n",
              "          [ 1.83797081e-03,  4.37067216e-03, -2.16640974e-03, ...,\n",
              "           -9.72099602e-03, -4.33123438e-03,  6.84785657e-03],\n",
              "          [-2.52128625e-03, -9.25008021e-03,  5.38919820e-03, ...,\n",
              "            6.01652497e-03,  7.39997532e-03, -3.47864232e-03],\n",
              "          ...,\n",
              "          [ 6.54197996e-03, -1.80534972e-03,  6.87478622e-03, ...,\n",
              "           -2.96625658e-03,  7.19870348e-03, -3.49612092e-03],\n",
              "          [-1.20014576e-02, -9.55184049e-04,  3.21550784e-03, ...,\n",
              "           -6.86675077e-03,  3.81029584e-03, -1.35953142e-03],\n",
              "          [-1.33076878e-02, -5.95784932e-03,  2.00847466e-03, ...,\n",
              "            3.71311558e-03, -4.85057989e-03,  6.59804884e-03]],\n",
              " \n",
              "         [[ 2.90424004e-03, -9.89661831e-03,  1.91741413e-03, ...,\n",
              "            5.65523747e-03, -6.10089628e-03, -2.42118305e-03],\n",
              "          [-3.49682709e-03,  1.72886357e-04, -5.87909436e-03, ...,\n",
              "           -1.28070693e-02,  4.43585636e-03,  6.80614915e-03],\n",
              "          [-1.09087434e-02, -7.73155596e-03,  1.13571603e-02, ...,\n",
              "           -1.85778399e-03,  4.53320518e-03, -6.28825603e-03],\n",
              "          ...,\n",
              "          [ 4.70118131e-03,  1.73194357e-03,  2.63497210e-03, ...,\n",
              "            2.44574575e-03, -1.33330061e-03, -3.43957436e-06],\n",
              "          [-8.93086009e-03,  3.52435117e-03,  3.11156409e-03, ...,\n",
              "           -6.06179424e-03, -1.80058610e-02,  1.25560276e-02],\n",
              "          [-1.18324636e-02,  8.83054268e-03,  3.15376674e-03, ...,\n",
              "           -1.96965900e-03, -5.68017829e-03,  7.08003854e-03]]],\n",
              " \n",
              " \n",
              "        [[[ 8.75416305e-03, -4.36640298e-03,  4.88167582e-03, ...,\n",
              "            8.39018787e-04, -5.99739561e-03, -1.24212792e-02],\n",
              "          [ 4.01801849e-03,  3.51571711e-04,  3.97934671e-03, ...,\n",
              "            1.03333630e-02, -1.19119482e-02,  1.45259704e-02],\n",
              "          [-1.23062739e-02, -7.49821402e-03, -1.16881379e-03, ...,\n",
              "            1.00372350e-02,  3.78591637e-03, -3.27527802e-03],\n",
              "          ...,\n",
              "          [ 3.92382033e-04, -5.11869090e-03, -5.72134461e-03, ...,\n",
              "           -5.19906683e-03,  2.44495110e-03, -2.64277123e-03],\n",
              "          [ 3.15165427e-03,  4.59999545e-03, -4.49594622e-03, ...,\n",
              "           -7.07745692e-03,  2.20317803e-02, -9.98178683e-03],\n",
              "          [ 2.48351321e-03, -4.45801299e-03, -1.41727342e-03, ...,\n",
              "            1.14606246e-02,  2.31800862e-02,  1.90563314e-03]],\n",
              " \n",
              "         [[ 9.47191007e-03, -3.94198066e-03,  3.83984810e-03, ...,\n",
              "            2.04855483e-03, -3.98352416e-03, -9.07041319e-03],\n",
              "          [ 4.09901841e-03, -5.52556419e-04,  9.95470490e-03, ...,\n",
              "            6.61444664e-03,  1.68336404e-03,  5.98631799e-03],\n",
              "          [-5.33673773e-03, -3.10067786e-03, -2.68109678e-03, ...,\n",
              "            6.30002609e-03,  9.23030172e-03, -1.12451822e-03],\n",
              "          ...,\n",
              "          [ 3.42691923e-03, -3.57319019e-03, -3.67652508e-03, ...,\n",
              "           -2.96659744e-03,  2.97217467e-03, -5.51824691e-03],\n",
              "          [-6.08776370e-03, -3.16021242e-03, -3.34903644e-03, ...,\n",
              "           -1.02244793e-02,  5.09558059e-03, -7.77694955e-03],\n",
              "          [-6.22821553e-03, -5.55740483e-03,  1.33099854e-02, ...,\n",
              "            1.53019335e-02, -1.71303935e-03,  3.84857692e-03]],\n",
              " \n",
              "         [[ 6.73177093e-03, -7.76051125e-03, -1.60716416e-03, ...,\n",
              "            3.37521662e-03, -3.43736820e-03, -7.08474452e-03],\n",
              "          [-1.92464353e-03, -1.43057271e-03,  1.68074947e-03, ...,\n",
              "            1.18604672e-04,  4.35965555e-03,  5.03915455e-03],\n",
              "          [-4.46902961e-03, -7.52293598e-03, -3.74621828e-03, ...,\n",
              "           -2.28520279e-04,  2.16215150e-04, -1.52036909e-03],\n",
              "          ...,\n",
              "          [ 4.53559542e-03, -1.34184927e-04, -9.41309205e-04, ...,\n",
              "            1.11481512e-03, -4.47113672e-03, -4.62406827e-03],\n",
              "          [ 9.73428891e-04, -9.99093894e-03, -3.64008895e-03, ...,\n",
              "           -7.60031957e-03, -1.03551112e-02,  3.14689800e-03],\n",
              "          [-8.02905019e-03,  7.79318798e-04,  2.27084830e-02, ...,\n",
              "            1.30782668e-02,  1.38504582e-03,  7.73181953e-03]]]],\n",
              "       dtype=float32)>,\n",
              " <tf.Variable 'block4_conv2_2/bias:0' shape=(512,) dtype=float32, numpy=\n",
              " array([ 2.36804616e-02,  4.58608419e-02,  9.30080377e-03, -1.76745132e-02,\n",
              "         5.61465882e-02, -3.86770591e-02, -2.51645874e-02, -4.41752784e-02,\n",
              "         1.51768718e-02, -3.16961072e-02,  8.50665495e-02,  7.12005869e-02,\n",
              "         7.06173340e-03,  2.40633171e-03, -4.92551364e-04,  4.08053398e-02,\n",
              "        -9.15167946e-03,  2.95944735e-02,  5.72967753e-02,  7.18083829e-02,\n",
              "         4.05868217e-02,  1.59624778e-02, -4.80147712e-02,  8.60013366e-02,\n",
              "         1.49936572e-01,  5.72768301e-02,  2.15365668e-03,  9.44054965e-03,\n",
              "         4.17007990e-02,  5.99614047e-02,  3.43391895e-02,  6.58695325e-02,\n",
              "         2.11896710e-02,  8.31157863e-02,  5.43225817e-02, -5.79251582e-03,\n",
              "         3.20369564e-02, -8.30057659e-04, -4.15707454e-02,  9.22825262e-02,\n",
              "         6.68698847e-02, -6.84389696e-02,  9.47043598e-02, -1.12843735e-03,\n",
              "        -2.23761816e-02,  2.50922889e-02, -2.84489598e-02,  5.39898127e-02,\n",
              "         7.43930340e-02,  3.20168249e-02,  8.59978795e-03, -5.32773882e-02,\n",
              "         4.53467518e-02,  3.28817107e-02,  5.67115955e-02,  7.34080523e-02,\n",
              "         3.73719223e-02,  3.60966846e-02,  3.43550667e-02,  5.64249307e-02,\n",
              "         2.54807081e-02,  6.70317188e-02,  1.28744515e-02,  9.89226550e-02,\n",
              "         6.96597947e-03, -3.15162614e-02,  4.48129922e-02,  8.75441507e-02,\n",
              "         6.66466355e-02,  4.87044863e-02,  6.54821023e-02,  1.99410841e-02,\n",
              "         5.62615953e-02,  3.89720760e-02,  1.39327748e-02,  1.10009555e-02,\n",
              "         6.95480630e-02,  3.56875435e-02, -1.68426204e-02,  2.98396703e-02,\n",
              "         2.90730037e-02,  6.01015538e-02,  2.66220719e-02, -3.43452133e-02,\n",
              "         7.85440952e-02,  3.76850516e-02,  4.77634035e-02, -1.97641533e-02,\n",
              "        -4.85963747e-02,  4.12238836e-02, -5.63965291e-02,  7.81174526e-02,\n",
              "        -7.17336386e-02, -4.26510349e-02,  1.49284765e-01,  2.79012583e-02,\n",
              "         7.29890093e-02,  8.44665095e-02,  1.24374516e-02,  3.11371125e-02,\n",
              "         3.95305417e-02,  8.57612863e-03,  3.95121984e-02,  5.59164956e-02,\n",
              "         1.30104106e-02,  8.03536028e-02, -2.42298953e-02, -8.33528489e-02,\n",
              "         3.14368680e-02,  7.11350963e-02,  4.30872925e-02,  7.73343956e-04,\n",
              "         8.30505490e-02,  7.94098452e-02, -7.20322924e-03, -3.55564989e-02,\n",
              "         5.22524863e-02,  5.55702783e-02,  8.56031999e-02,  5.28425612e-02,\n",
              "        -3.70398574e-02,  8.51874650e-02,  6.22633323e-02,  3.93357947e-02,\n",
              "        -1.28750065e-02,  4.44916598e-02, -2.21009292e-02,  5.60100749e-02,\n",
              "        -2.78310552e-02,  1.34631293e-02, -9.32684354e-03,  6.18774630e-02,\n",
              "         4.95636985e-02, -1.75742130e-03, -6.44769073e-02, -1.18143186e-02,\n",
              "         1.88705772e-02, -1.64837334e-02, -2.21495563e-03,  5.64453267e-02,\n",
              "         9.39463228e-02, -5.49071236e-03,  1.04334205e-01, -1.40368156e-02,\n",
              "         3.51246423e-03,  2.20790058e-02, -9.24790557e-03,  3.40608843e-02,\n",
              "         8.49933252e-02,  1.35613550e-02,  7.09332302e-02,  7.53967017e-02,\n",
              "         2.47984054e-03,  2.75810179e-03,  2.61413254e-04, -3.28828371e-03,\n",
              "         6.55157939e-02,  6.88281208e-02, -1.43462196e-02, -4.51357253e-02,\n",
              "         9.97304320e-02,  1.88522600e-02,  5.81260659e-02, -4.68679285e-03,\n",
              "         5.57830883e-03, -1.78299807e-02, -3.54016311e-02,  6.53371587e-02,\n",
              "         1.66017213e-03,  1.20751202e-01,  1.06749490e-01,  6.68219179e-02,\n",
              "        -1.23153459e-02, -1.70852672e-02,  6.34886473e-02, -1.96746569e-02,\n",
              "         3.80039997e-02,  5.81620410e-02,  7.67944083e-02, -3.60054709e-02,\n",
              "         1.79855078e-01,  1.34394066e-02,  4.39099148e-02,  1.57692712e-02,\n",
              "         1.69655830e-02,  2.86468342e-02,  1.62922195e-03,  3.54323685e-02,\n",
              "        -6.61849082e-02,  6.75174445e-02,  2.82581467e-02,  6.62062168e-02,\n",
              "        -1.12029212e-02, -1.03414077e-02,  9.13238619e-03,  1.23161366e-02,\n",
              "         2.86449417e-02,  3.96534093e-02,  4.21681348e-03,  4.30835858e-02,\n",
              "         2.70667262e-02,  6.36299849e-02, -3.28771397e-02, -3.93768884e-02,\n",
              "        -3.95091139e-02,  3.15880030e-02,  3.39579359e-02,  1.45476088e-01,\n",
              "         1.81212425e-02, -1.29203789e-03,  4.00362015e-02,  6.00088015e-02,\n",
              "        -3.58503722e-02,  3.18499692e-02,  2.06580404e-02,  7.16133118e-02,\n",
              "         5.03218733e-02, -1.84153430e-02, -5.64385876e-02,  1.77689474e-02,\n",
              "         4.27779555e-02,  5.53759374e-03,  8.75296220e-02,  7.26943687e-02,\n",
              "        -1.46048391e-04, -3.86572555e-02,  8.42765160e-03, -2.44882749e-03,\n",
              "         9.77501273e-02,  5.97970672e-02,  2.38099266e-02,  6.74851984e-02,\n",
              "         6.92723393e-02, -2.47257901e-03, -1.88391749e-02,  7.13638812e-02,\n",
              "        -2.04261877e-02,  1.72214035e-03, -1.22058857e-02,  5.31939827e-02,\n",
              "         7.06707910e-02,  3.33899781e-02,  2.76175775e-02, -3.17915380e-02,\n",
              "        -3.35121602e-02,  6.86854348e-02,  6.27762377e-02,  1.82375818e-01,\n",
              "         2.08962727e-02,  2.71611679e-02,  7.87345693e-02,  1.27381524e-02,\n",
              "         4.10160795e-02,  8.34491253e-02,  3.96295004e-02, -3.02669052e-02,\n",
              "         2.91156285e-02,  5.06780371e-02,  7.99330138e-03,  4.92900796e-02,\n",
              "         6.86231107e-02, -4.09106277e-02,  4.41469885e-02,  3.64646725e-02,\n",
              "         5.65120801e-02,  3.60980742e-02, -6.79135090e-04, -1.23290103e-02,\n",
              "         5.94152361e-02,  6.77347705e-02,  3.31165828e-02,  8.35942701e-02,\n",
              "         8.64599496e-02,  1.75043959e-02,  5.81907071e-02,  4.46802489e-02,\n",
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              "         9.34748948e-02,  3.94030213e-02,  7.13626072e-02, -1.41413277e-02,\n",
              "         1.30935848e-01,  5.73753752e-02,  4.46959585e-02, -2.83598644e-03,\n",
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              "        -5.79251535e-03,  4.70720194e-02,  9.29550678e-02, -1.25735486e-03,\n",
              "         6.31417558e-02,  2.10241545e-02,  7.46275783e-02,  3.79877761e-02,\n",
              "         8.13457370e-03,  1.80716086e-02, -8.13563913e-02,  8.72360542e-02,\n",
              "         3.88438925e-02,  3.85152847e-02, -5.04073105e-04,  6.49840385e-02,\n",
              "        -3.43470611e-02,  3.77040654e-02,  1.06859244e-02,  4.20840010e-02,\n",
              "        -1.40292663e-02,  1.56042529e-02, -5.81686664e-03,  9.35967714e-02,\n",
              "        -3.35334591e-03,  9.38937068e-03,  5.93062770e-03,  6.13242537e-02,\n",
              "         3.53276427e-03,  2.86255982e-02,  1.81747284e-02,  2.83325668e-02,\n",
              "         3.06540430e-02,  3.95519510e-02, -5.09557687e-02,  1.71096679e-02,\n",
              "         3.50877829e-02,  2.47029122e-02,  2.00173520e-02,  1.35433283e-02,\n",
              "        -2.70954855e-02,  3.94329019e-02,  5.53422607e-02,  4.07129750e-02,\n",
              "        -3.68579365e-02,  3.36302258e-02,  1.04768693e-01,  9.88726839e-02,\n",
              "        -4.80895909e-03,  4.32820879e-02, -2.89156623e-02, -2.33092438e-02,\n",
              "         1.11722033e-02,  8.99728853e-03,  4.12003621e-02,  4.24312092e-02,\n",
              "         3.04449759e-02,  1.79922655e-02,  3.36466879e-02,  3.25002447e-02,\n",
              "         2.52752118e-02,  3.15993875e-02,  8.63030627e-02,  8.40602890e-02,\n",
              "         1.13799475e-01,  1.04616433e-01,  9.19467285e-02,  5.76423779e-02,\n",
              "         1.50477784e-02,  6.21597804e-02, -8.19574576e-03,  1.45130316e-02,\n",
              "         6.93013240e-03, -1.41948294e-02,  9.23714042e-02,  2.28072926e-02,\n",
              "         4.99698967e-02,  2.91759204e-02, -3.53789842e-03,  6.67891949e-02,\n",
              "         8.36458728e-02,  6.09480292e-02, -1.20814377e-02,  5.52044734e-02,\n",
              "         7.13785812e-02,  2.94296518e-02, -1.88638773e-02,  7.29193389e-02,\n",
              "         6.74001798e-02,  3.02355215e-02, -7.86741672e-04,  1.45119922e-02,\n",
              "         8.32995921e-02, -1.73066929e-02, -1.24155683e-02,  1.52539127e-02,\n",
              "         1.04089398e-02,  5.72987050e-02, -4.07144874e-02,  3.56261283e-02,\n",
              "         3.88583280e-02, -5.36897331e-02, -9.50060226e-03,  6.02441728e-02,\n",
              "         4.38612467e-03,  8.26571807e-02,  3.73540111e-02,  4.33641709e-02,\n",
              "         1.30440863e-02,  6.59309933e-03, -1.42299663e-02,  7.20351040e-02,\n",
              "         2.15775855e-02, -4.12956886e-02,  1.52458809e-02,  7.83393085e-02,\n",
              "         1.87031198e-02,  4.43611369e-02,  1.41580310e-02,  6.79276958e-02,\n",
              "         7.30631500e-02,  2.71355044e-02,  4.56770025e-02,  1.13588129e-03,\n",
              "        -3.38738561e-02,  6.33674264e-02,  2.99458709e-02,  3.39248106e-02,\n",
              "         1.06991984e-01, -8.42845291e-02,  4.86224405e-02,  1.18488865e-03,\n",
              "        -3.36305089e-02,  4.24424782e-02,  5.77495024e-02,  3.30150053e-02,\n",
              "         8.73824283e-02, -4.48965207e-02, -5.31662896e-04,  5.03749959e-02,\n",
              "        -4.53572124e-02, -6.34666234e-02,  2.32011992e-02,  5.11378534e-02,\n",
              "        -6.63259625e-03, -7.29774730e-03,  1.05731055e-01,  4.01319265e-02,\n",
              "         4.83435765e-02,  2.68024467e-02,  1.22054461e-02,  3.18117142e-02,\n",
              "         1.63015239e-02,  9.50399265e-02,  4.35097888e-02,  7.05098733e-02,\n",
              "         8.54057595e-02,  5.15690167e-03, -1.57226622e-02,  1.24573760e-01,\n",
              "         9.91350785e-03,  1.01143122e-01,  7.39932582e-02, -8.41629207e-02,\n",
              "         6.01060316e-02,  4.33958322e-02,  1.55565543e-02, -1.67539064e-02,\n",
              "         4.74077426e-02,  1.56774074e-01,  2.07913518e-02, -2.10556053e-02,\n",
              "        -3.02008906e-04,  6.85021579e-02, -6.47229934e-03, -2.29938451e-06,\n",
              "         4.77778434e-04,  2.19754819e-02,  5.20597920e-02,  7.71911144e-02,\n",
              "        -7.61257559e-02,  5.04526794e-02,  1.11279115e-02,  4.20127772e-02,\n",
              "         9.41807628e-02,  5.82801849e-02,  7.23777413e-02,  2.26395763e-02,\n",
              "        -6.38820156e-02,  1.67707615e-02, -7.39061274e-03,  1.33731205e-03,\n",
              "         9.29854214e-02,  1.62864681e-02,  1.48589224e-01,  1.30760461e-01,\n",
              "         5.62454313e-02,  1.43612195e-02,  6.42168671e-02,  4.83797006e-02,\n",
              "         1.25911102e-01,  1.25651538e-01,  7.45308250e-02, -1.71924084e-02],\n",
              "       dtype=float32)>,\n",
              " <tf.Variable 'block4_conv3_2/kernel:0' shape=(3, 3, 512, 512) dtype=float32, numpy=\n",
              " array([[[[-4.13556537e-03,  7.47195398e-03, -3.50115891e-03, ...,\n",
              "            4.89854301e-06, -2.53839465e-03, -5.25326468e-03],\n",
              "          [-9.53834411e-03,  1.41056092e-03, -1.65442061e-02, ...,\n",
              "           -1.52774970e-03,  1.11036829e-03, -1.79786165e-03],\n",
              "          [-3.51967965e-03,  8.38233996e-03,  1.37014373e-03, ...,\n",
              "           -2.04362301e-03, -3.33098392e-03, -3.59164621e-03],\n",
              "          ...,\n",
              "          [-4.51420387e-03, -9.90713015e-03, -7.90119357e-03, ...,\n",
              "           -2.74181948e-04,  8.04592157e-04, -9.21490043e-03],\n",
              "          [ 4.13362030e-03,  1.64503278e-03, -1.24853069e-03, ...,\n",
              "           -4.80085961e-04,  1.43603736e-03, -2.37931171e-03],\n",
              "          [-9.46063921e-03, -3.02881887e-03, -3.93793161e-04, ...,\n",
              "           -8.37404653e-03, -8.49721371e-04,  2.19010212e-03]],\n",
              " \n",
              "         [[-4.10446478e-03, -1.54824147e-03, -5.41875651e-03, ...,\n",
              "           -2.24129972e-03, -2.28596875e-03, -3.34858289e-03],\n",
              "          [-4.84787673e-03,  2.47201161e-03, -1.29879676e-02, ...,\n",
              "            8.18996597e-03, -4.54588607e-03,  9.62644164e-03],\n",
              "          [-3.10205529e-03,  3.47901974e-03,  2.52036308e-03, ...,\n",
              "           -5.83003787e-03,  1.09997432e-04, -3.84454383e-03],\n",
              "          ...,\n",
              "          [-7.76591944e-03, -1.44146327e-02, -7.61551922e-03, ...,\n",
              "           -3.92687973e-03, -6.16982626e-03, -5.35330735e-03],\n",
              "          [ 1.01468374e-03,  1.67173836e-02, -6.25725277e-03, ...,\n",
              "           -2.52300198e-03, -4.94909706e-03, -9.14588978e-04],\n",
              "          [-7.97870383e-03, -4.20195796e-03,  1.45270012e-03, ...,\n",
              "           -1.22739337e-02, -2.10561347e-03,  5.49114076e-03]],\n",
              " \n",
              "         [[-2.88630649e-03,  2.41750688e-03,  1.50172273e-03, ...,\n",
              "           -1.28930504e-03, -4.96551802e-04,  2.69375363e-04],\n",
              "          [ 3.95747193e-05, -1.94887386e-03, -7.08143180e-03, ...,\n",
              "            1.00128017e-02, -4.74765385e-03,  1.33702094e-02],\n",
              "          [ 4.38523851e-03,  2.79099098e-03, -4.09206329e-03, ...,\n",
              "           -2.73540127e-03, -3.12048779e-03, -2.88168900e-03],\n",
              "          ...,\n",
              "          [-4.95913485e-03, -1.23296445e-02, -5.42156352e-03, ...,\n",
              "           -2.32423958e-03, -8.56377464e-03, -7.15223281e-03],\n",
              "          [-6.16921112e-03,  1.57617237e-02, -4.47978219e-03, ...,\n",
              "           -2.25248467e-03, -9.93228331e-03, -6.10898901e-03],\n",
              "          [-4.50641429e-03, -5.51745854e-03, -2.20075878e-03, ...,\n",
              "           -1.30875418e-02, -3.93497292e-03,  6.03448506e-03]]],\n",
              " \n",
              " \n",
              "        [[[-4.41893004e-03,  1.37486542e-02, -8.45907908e-03, ...,\n",
              "           -2.21222895e-03, -2.15952285e-03,  1.23409089e-02],\n",
              "          [-6.33585500e-03, -4.42368211e-03, -3.91021417e-03, ...,\n",
              "           -9.76585504e-03,  1.04509713e-02, -1.36236623e-02],\n",
              "          [-4.40114317e-03,  7.94552453e-03,  2.42980407e-03, ...,\n",
              "           -5.41694043e-03,  8.71099706e-04, -9.86627582e-03],\n",
              "          ...,\n",
              "          [-1.34519069e-02, -1.00430250e-02,  1.51449756e-04, ...,\n",
              "            1.60089054e-04,  3.75668914e-03, -9.09452140e-03],\n",
              "          [ 2.45954143e-03,  5.74873528e-03, -4.06519882e-03, ...,\n",
              "            4.02215123e-03,  7.62883713e-03,  5.94564248e-03],\n",
              "          [-9.32596903e-03, -1.13636081e-03, -6.24895329e-03, ...,\n",
              "           -1.08463904e-02,  1.40982226e-03, -7.70578452e-04]],\n",
              " \n",
              "         [[-5.51303476e-03,  5.81868412e-03, -1.07901720e-02, ...,\n",
              "           -3.43920151e-03, -7.63218326e-04,  1.36730876e-02],\n",
              "          [-1.67119992e-03, -3.32675921e-03,  7.43533950e-03, ...,\n",
              "           -3.50478198e-03,  6.62456639e-03, -4.99307271e-03],\n",
              "          [-5.86137315e-03,  6.13010547e-04,  8.30108393e-03, ...,\n",
              "           -9.87416040e-03,  5.06723206e-03, -7.71902688e-03],\n",
              "          ...,\n",
              "          [-1.29670175e-02, -1.55268898e-02, -8.49602278e-04, ...,\n",
              "            6.30461425e-03,  5.32882579e-04, -6.07468095e-03],\n",
              "          [-1.12099759e-03,  2.91328244e-02, -4.23871959e-03, ...,\n",
              "            2.93749222e-03,  3.47164372e-04,  8.26061238e-03],\n",
              "          [-5.98738715e-03, -9.14713892e-04, -3.92263103e-03, ...,\n",
              "           -1.36881256e-02, -8.12742568e-04,  7.36264093e-03]],\n",
              " \n",
              "         [[-3.41959228e-03,  4.66367882e-03,  3.37764691e-03, ...,\n",
              "           -2.56140856e-03, -1.21631820e-04,  1.15059484e-02],\n",
              "          [ 2.40420690e-04, -3.77301918e-03,  6.58437563e-03, ...,\n",
              "            9.60138626e-03,  2.05660984e-03,  9.79973841e-03],\n",
              "          [ 1.32909336e-04,  1.90253675e-04,  6.17130077e-04, ...,\n",
              "           -8.72793701e-03, -1.45053165e-03, -3.49612208e-03],\n",
              "          ...,\n",
              "          [-9.77272261e-03, -1.07788146e-02, -9.54640738e-04, ...,\n",
              "            6.30754652e-03, -2.78572715e-03, -5.98356128e-03],\n",
              "          [-1.03954598e-02,  2.61091348e-02, -5.07673249e-03, ...,\n",
              "           -2.80671171e-03, -5.53699769e-03, -2.10620486e-03],\n",
              "          [-3.11570894e-03, -3.08538810e-03, -3.10157356e-03, ...,\n",
              "           -1.59878880e-02, -3.33151151e-03,  1.18652089e-02]]],\n",
              " \n",
              " \n",
              "        [[[-4.26715612e-03,  8.63417238e-03,  1.76529714e-03, ...,\n",
              "           -2.84227985e-03, -1.75439665e-04,  2.90537663e-02],\n",
              "          [-6.29396923e-03, -1.76275475e-03, -6.42163330e-04, ...,\n",
              "           -1.01052411e-02,  3.43423686e-03, -1.41305421e-02],\n",
              "          [-3.68094444e-03,  6.39184844e-03,  7.07066664e-03, ...,\n",
              "           -2.24087667e-03,  8.55041016e-03, -8.31523445e-03],\n",
              "          ...,\n",
              "          [-1.18850870e-02, -7.78572122e-03, -4.24755132e-03, ...,\n",
              "           -1.43992031e-04,  2.01374627e-04, -2.33163615e-03],\n",
              "          [ 2.30761128e-03, -9.47567285e-04, -1.79581740e-03, ...,\n",
              "           -4.05802298e-03,  5.83436852e-03,  1.24853859e-02],\n",
              "          [-7.39294710e-03,  6.41175592e-03, -1.01529667e-02, ...,\n",
              "           -1.17332852e-02,  1.69780722e-03,  1.15358143e-03]],\n",
              " \n",
              "         [[-4.61219344e-03, -3.59420269e-03, -8.21814407e-04, ...,\n",
              "           -4.81084595e-03, -4.44865436e-04,  3.18669118e-02],\n",
              "          [-1.15395896e-03, -5.12891915e-03,  9.74675361e-03, ...,\n",
              "           -7.82980397e-03,  7.25134509e-03, -6.98588043e-03],\n",
              "          [-5.98424906e-03,  1.12204099e-04,  9.43994615e-03, ...,\n",
              "           -4.51271143e-03,  8.94110464e-03, -8.36270489e-03],\n",
              "          ...,\n",
              "          [-1.31882168e-02, -9.57226939e-03, -6.37137098e-03, ...,\n",
              "            1.04999328e-02, -1.76120212e-03, -3.13745732e-05],\n",
              "          [ 1.22509198e-03,  1.17349727e-02, -2.26895651e-03, ...,\n",
              "           -6.69820094e-03,  4.28338209e-03,  1.29151903e-02],\n",
              "          [-2.21199635e-03,  1.19306184e-02, -3.41698364e-03, ...,\n",
              "           -1.32360598e-02, -4.97587898e-04,  1.26575744e-02]],\n",
              " \n",
              "         [[-3.64933652e-03, -4.82958928e-03,  9.14632156e-03, ...,\n",
              "           -4.02110023e-03, -1.57763090e-04,  1.70223936e-02],\n",
              "          [ 6.29810616e-04, -2.43360968e-03,  6.34040590e-03, ...,\n",
              "            3.36989964e-04,  6.95535308e-03,  1.70514290e-03],\n",
              "          [-3.24976468e-03,  2.30040471e-03,  4.15086048e-03, ...,\n",
              "           -4.70836135e-03, -1.04901823e-03, -6.13272097e-03],\n",
              "          ...,\n",
              "          [-1.13391438e-02, -4.96303104e-03, -2.09907000e-03, ...,\n",
              "            9.20415949e-03, -3.33326217e-03, -1.52914249e-03],\n",
              "          [-3.99327371e-03,  1.23460982e-02, -3.62788007e-04, ...,\n",
              "           -9.96733084e-03, -2.58089555e-03,  4.87980247e-03],\n",
              "          [-1.03235664e-03,  1.21477433e-03,  4.89632657e-04, ...,\n",
              "           -1.49842957e-02, -3.02216387e-03,  1.48773128e-02]]]],\n",
              "       dtype=float32)>,\n",
              " <tf.Variable 'block4_conv3_2/bias:0' shape=(512,) dtype=float32, numpy=\n",
              " array([ 3.75776812e-02,  2.33153161e-02,  4.87732068e-02, -1.31543912e-02,\n",
              "         1.56386122e-01,  1.23117670e-01, -9.89586115e-03,  7.15063512e-02,\n",
              "         6.51094466e-02, -4.66837473e-02,  1.08425960e-01,  7.74275884e-02,\n",
              "         1.10251516e-01,  1.92952771e-02,  8.01710784e-02,  2.36119628e-02,\n",
              "         7.75422528e-02,  5.69755211e-02,  4.56143469e-02,  1.09167516e-01,\n",
              "         6.84632063e-02, -2.48736758e-02,  1.80764552e-02, -4.36790064e-02,\n",
              "         2.33979343e-04,  3.46214063e-02,  6.20072754e-03,  3.63811068e-02,\n",
              "        -1.55856647e-03, -4.96735498e-02,  3.23276311e-01, -1.96249466e-02,\n",
              "         3.84185798e-02,  1.20205760e-01,  1.09417096e-01, -5.51194139e-02,\n",
              "         1.10063709e-01, -7.15378523e-02, -4.00965102e-03, -5.51721174e-03,\n",
              "         4.30769622e-02,  5.59166037e-02,  2.27040742e-02, -5.66086136e-02,\n",
              "         3.19737196e-02,  5.85606098e-02, -3.15547064e-02,  7.50048980e-02,\n",
              "         1.69006623e-02,  1.00639649e-01,  1.32110983e-01,  1.37882242e-02,\n",
              "         6.91086054e-02,  8.38134661e-02,  9.01862830e-02,  1.04315668e-01,\n",
              "         2.41040811e-02, -1.04453005e-02,  1.57044113e-01, -8.38551857e-03,\n",
              "         4.52776887e-02,  2.68810600e-01,  4.62417714e-02,  1.61446109e-01,\n",
              "        -8.97112023e-03,  7.49935722e-03,  5.90045098e-03, -2.37324424e-02,\n",
              "         5.56173995e-02,  7.36198798e-02, -1.26277376e-02,  9.59626958e-02,\n",
              "         6.56266604e-03,  2.39787474e-01, -7.63456523e-02,  5.05909026e-02,\n",
              "        -1.48703540e-02, -1.69649515e-02,  6.16798475e-02,  8.90753344e-02,\n",
              "        -1.60123035e-02,  6.03094324e-02,  9.99760032e-02,  9.37769562e-02,\n",
              "         1.19709454e-01, -7.12951645e-03,  1.57594681e-01,  1.17099583e-01,\n",
              "         4.32997309e-02,  3.10191326e-03,  4.34731580e-02, -1.44030163e-02,\n",
              "         2.50148028e-02,  3.80369974e-03,  3.57966982e-02, -2.04993486e-02,\n",
              "         4.41434085e-02,  1.19379260e-01, -7.77974278e-02,  8.29918310e-02,\n",
              "        -1.09645920e-02,  6.94096508e-03,  9.36392620e-02,  2.11961791e-02,\n",
              "         3.53810154e-02,  5.99042177e-02,  8.37488249e-02,  1.61172628e-01,\n",
              "         3.94175723e-02,  4.38806564e-02, -4.46698554e-02,  7.57642016e-02,\n",
              "         2.54059248e-02,  1.07697628e-01, -2.26416271e-02, -7.51747862e-02,\n",
              "         1.16588682e-01,  4.07809131e-02,  6.54405504e-02, -7.98612386e-02,\n",
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              "         1.26496330e-01,  6.18727617e-02,  7.48781580e-03,  2.12940797e-02,\n",
              "         8.53048190e-02,  1.16060473e-01,  8.07167664e-02, -1.11688130e-01,\n",
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              "         5.43500483e-02, -8.82004276e-02,  8.82978830e-03,  4.33639102e-02,\n",
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              "         1.38902327e-03,  8.03192034e-02, -3.72954980e-02, -6.32626098e-03,\n",
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              "         1.84790239e-01,  1.91820972e-02, -1.49902813e-02,  1.10085964e-01,\n",
              "         6.89911991e-02, -3.02578788e-04, -1.15961619e-01,  5.62943071e-02,\n",
              "         4.55947258e-02,  3.66118290e-02,  5.18099628e-02,  4.19007167e-02,\n",
              "         3.45699228e-02, -2.12627202e-02,  2.03489400e-02, -3.77459219e-03,\n",
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              "        -4.73434590e-02, -2.95034284e-03,  7.63397291e-03,  3.93807627e-02,\n",
              "         6.29925206e-02,  4.16261982e-03,  1.30529091e-01, -7.88602140e-03,\n",
              "         9.76980031e-02,  1.15821004e-01,  1.81243010e-02, -7.63205364e-02,\n",
              "         7.11237895e-04,  7.99729973e-02, -3.18900235e-02,  4.17382717e-02,\n",
              "         1.13078449e-02,  3.89297232e-02, -1.72820743e-02, -5.58638088e-02,\n",
              "        -4.65179211e-04, -1.73023494e-03, -7.81372562e-03, -5.39793679e-03,\n",
              "         2.23870226e-03,  1.73662715e-02, -1.98377687e-02, -2.58054938e-02,\n",
              "         1.09198786e-01,  7.00220047e-03,  1.10002654e-02, -6.27600923e-02,\n",
              "        -3.32509121e-03,  2.23918274e-01,  1.01886550e-02, -2.82219443e-02,\n",
              "         7.38132671e-02,  2.91661564e-02,  3.13512050e-02, -2.51422524e-02,\n",
              "        -1.21693537e-02,  1.09122060e-01, -1.74833387e-02, -2.37340331e-02,\n",
              "         1.10582992e-01,  6.28124774e-02,  6.17114380e-02,  2.62949709e-02,\n",
              "         2.30104420e-02, -2.80443416e-03,  1.04754241e-02, -4.64987308e-02,\n",
              "         1.21549122e-01,  3.67750637e-02,  2.87013669e-02, -1.27652809e-01,\n",
              "        -1.33002065e-02,  1.30174324e-01,  1.72204357e-02,  1.41560405e-01,\n",
              "        -1.06372379e-01,  6.09373860e-02,  3.22992653e-02,  3.37665468e-01,\n",
              "         7.69582912e-02,  6.41081259e-02, -9.23939794e-02,  1.75577775e-01,\n",
              "        -7.04026893e-02,  1.75782852e-02, -3.75610068e-02,  9.56635773e-02,\n",
              "        -5.07870689e-02, -2.75258590e-02, -6.19521625e-02,  2.95777898e-03,\n",
              "         1.06505699e-01, -7.43966773e-02,  3.04472782e-02, -1.99559182e-02,\n",
              "         4.39408347e-02,  5.16868979e-02,  4.41786535e-02,  7.64883077e-03,\n",
              "         8.63148868e-02,  9.03494209e-02,  5.30875959e-02,  5.55970967e-02,\n",
              "         6.36413768e-02,  5.47764935e-02, -1.24607049e-02,  4.54404112e-03,\n",
              "         2.73986440e-02, -4.45177443e-02,  1.14658087e-01,  1.37271164e-02,\n",
              "         2.32506655e-02,  2.34096195e-03,  2.09581060e-03,  4.96438053e-03,\n",
              "         4.18750420e-02,  2.29809508e-02,  2.97142528e-02,  3.22302803e-02,\n",
              "         9.11867023e-02, -5.36765791e-02,  7.12390319e-02,  8.89192987e-03,\n",
              "         7.42134005e-02,  1.41858786e-01, -8.39287117e-02,  9.21422243e-02,\n",
              "         8.63370523e-02,  7.90292323e-02,  4.39192131e-02,  1.96809378e-02,\n",
              "        -2.77533829e-02,  1.15503237e-01,  1.58360928e-01, -8.54258910e-02,\n",
              "         8.24679807e-03,  5.85923018e-03,  9.32543650e-02, -4.55506667e-02,\n",
              "         9.26764756e-02,  1.15752965e-01, -2.97578033e-02, -2.86657400e-02,\n",
              "        -1.52926147e-02,  2.70879250e-02, -1.46033755e-02, -2.50229500e-02,\n",
              "         3.27791199e-02,  8.65786448e-02,  2.88362987e-03,  4.49427143e-02,\n",
              "         1.09195178e-02,  5.43190241e-02, -7.34395534e-03,  6.12054355e-02,\n",
              "         9.58566293e-02,  9.73507762e-02,  1.42083680e-02, -1.69505030e-02,\n",
              "        -1.49713429e-02, -5.62502677e-03,  4.46661711e-02,  7.96836764e-02,\n",
              "        -1.16956914e-02,  8.77603516e-02, -4.11723927e-02,  5.75434640e-02,\n",
              "         3.29620466e-02, -1.90446731e-02, -2.89780404e-02, -2.39247046e-02,\n",
              "         9.70396772e-02,  4.75698523e-02,  7.76923820e-02, -2.59347353e-02,\n",
              "         2.60097738e-02,  7.36013651e-02,  6.40694574e-02,  4.28020656e-02,\n",
              "         1.26856104e-01,  1.59579590e-01,  8.83957446e-02, -5.42309927e-03,\n",
              "         2.63387710e-02,  1.85682960e-02,  6.53882697e-02,  1.09975189e-02,\n",
              "         6.88788518e-02,  5.74412979e-02,  5.93333468e-02,  5.48945591e-02,\n",
              "         6.09451346e-02,  8.59644338e-02,  2.02770546e-01,  4.29083183e-02,\n",
              "         7.97930509e-02,  9.53034610e-02, -1.28447879e-02, -1.04903094e-02,\n",
              "         1.73322037e-02, -5.24674766e-02, -3.19139324e-02,  4.93030250e-02,\n",
              "         2.71479483e-03,  1.62390828e-01,  1.20086335e-01,  1.26804143e-01,\n",
              "        -5.88331409e-02,  1.53022245e-01,  5.09878583e-02, -1.86842903e-02,\n",
              "         6.00987040e-02,  5.23871966e-02, -7.51864463e-02,  1.64992996e-02,\n",
              "        -5.40164784e-02,  3.61461658e-04,  8.46449882e-02, -1.95790883e-02,\n",
              "         5.58903217e-02,  4.40694839e-02, -4.93288301e-02,  6.25271946e-02,\n",
              "         8.78013205e-03, -4.18124459e-04,  1.23570431e-02, -3.78970653e-02,\n",
              "        -6.56176805e-02, -2.17026584e-02,  6.12869449e-02, -2.76663955e-02,\n",
              "        -2.71973237e-02,  8.20611976e-03,  6.85504675e-02, -3.78268920e-02,\n",
              "        -4.82786186e-02, -2.73993164e-02, -3.26478891e-02, -3.15340282e-03,\n",
              "         8.87275264e-02,  1.06631555e-01,  3.64949666e-02,  1.62101001e-01,\n",
              "        -4.19401079e-02, -1.07982382e-01,  4.45775203e-02,  5.77827320e-02,\n",
              "         2.23185256e-01, -3.65598798e-02, -1.03740953e-02,  7.37543330e-02,\n",
              "        -5.21152234e-03, -1.00183100e-01,  9.83282644e-03, -1.42585650e-01,\n",
              "        -2.24055368e-02,  8.60606954e-02,  8.35221857e-02, -4.14283127e-02,\n",
              "        -6.31701499e-02,  4.49785119e-04,  1.11907467e-01,  3.42719327e-03,\n",
              "         4.70628962e-02, -6.42979667e-02,  6.84684664e-02, -4.96568903e-03,\n",
              "        -7.05677737e-03,  9.94443987e-03,  1.10456072e-01,  6.95149153e-02,\n",
              "         2.07045719e-01,  2.15834957e-02, -8.14040601e-02,  5.66582233e-02,\n",
              "         3.21405888e-01,  1.33668007e-02,  4.54747789e-02,  3.44119929e-02,\n",
              "         2.47866027e-02, -1.98359475e-01,  5.16267866e-02,  8.08398426e-02,\n",
              "         3.98843661e-02, -6.38091052e-03,  1.49523010e-02,  8.16762224e-02,\n",
              "         1.53234810e-01,  5.12944162e-02,  3.50128068e-03,  1.35419620e-02,\n",
              "         4.13721949e-02,  1.52683899e-01, -3.00547630e-02,  3.43827270e-02,\n",
              "         3.84746045e-02, -2.30445340e-02,  1.39713809e-01,  1.05473228e-01,\n",
              "         1.98547374e-02,  9.14304703e-02,  7.07473198e-04, -8.16547126e-03,\n",
              "         4.24766019e-02,  1.28319293e-01,  2.55543962e-02,  2.28070617e-02,\n",
              "        -3.57526243e-02, -2.44863424e-02,  1.94404684e-02, -1.58098768e-02,\n",
              "        -9.37856138e-02,  4.62724715e-02,  3.18735167e-02, -1.16503248e-02,\n",
              "         1.63484275e-01,  5.40490299e-02, -9.96737741e-03,  2.60503963e-03,\n",
              "        -7.91937932e-02,  7.22831637e-02, -1.29031166e-01,  5.37225716e-02],\n",
              "       dtype=float32)>,\n",
              " <tf.Variable 'block5_conv1_2/kernel:0' shape=(3, 3, 512, 512) dtype=float32, numpy=\n",
              " array([[[[-6.0689339e-04,  1.4231558e-03,  7.3316055e-03, ...,\n",
              "            2.6178278e-03,  4.3357504e-04, -2.9434897e-03],\n",
              "          [-4.8605306e-03,  4.9075234e-04, -1.2511463e-03, ...,\n",
              "            1.1560039e-03, -1.2683710e-04, -1.5934335e-02],\n",
              "          [ 8.2136225e-03,  7.4967248e-03,  4.4443067e-03, ...,\n",
              "           -1.0573096e-02, -1.3803735e-02, -2.0028956e-03],\n",
              "          ...,\n",
              "          [ 2.0234480e-03, -5.8380342e-03, -2.3825851e-03, ...,\n",
              "            1.3192679e-03, -8.6920448e-03, -8.2156417e-04],\n",
              "          [ 7.9414165e-03, -8.0086980e-03,  7.7348115e-04, ...,\n",
              "            9.1014095e-03,  6.8836473e-04, -9.8630879e-03],\n",
              "          [ 7.3094536e-03, -1.1607672e-03,  5.1686643e-03, ...,\n",
              "           -1.8046533e-03, -7.7111748e-05,  3.5778836e-03]],\n",
              " \n",
              "         [[-1.5249068e-03, -3.1574788e-03,  4.5571220e-03, ...,\n",
              "           -8.1634670e-03, -8.1500728e-03, -5.8323247e-03],\n",
              "          [-1.2195857e-03, -5.4482273e-03, -8.4939813e-03, ...,\n",
              "            1.3417795e-03, -1.3884302e-03, -1.6707450e-02],\n",
              "          [-2.9635590e-03,  6.9369110e-03,  5.6030410e-03, ...,\n",
              "           -1.8767575e-02, -4.3791626e-03, -7.9249451e-03],\n",
              "          ...,\n",
              "          [-6.8472535e-04, -2.8301261e-03,  1.2871494e-03, ...,\n",
              "            1.8639782e-02, -1.4961872e-02, -1.3423259e-03],\n",
              "          [-1.5397326e-02, -1.0199412e-03,  1.0786263e-02, ...,\n",
              "            1.0112063e-02, -6.9852192e-03, -6.4757215e-03],\n",
              "          [ 1.0720392e-02, -3.2282835e-03, -1.0194050e-04, ...,\n",
              "           -4.7621364e-03,  1.0120733e-02,  5.2126674e-03]],\n",
              " \n",
              "         [[ 4.6802587e-03, -1.5438132e-03,  9.8896343e-03, ...,\n",
              "           -2.5150599e-03, -3.5095667e-03, -5.6064618e-03],\n",
              "          [ 1.0596886e-02, -1.0044489e-02,  1.8063044e-03, ...,\n",
              "           -2.9223200e-03,  8.0995419e-04, -2.0323446e-02],\n",
              "          [-1.7607687e-03,  2.3017763e-03, -1.5706603e-03, ...,\n",
              "           -1.1904801e-02, -5.6624818e-03, -2.7024033e-03],\n",
              "          ...,\n",
              "          [-8.9463210e-03, -7.5343349e-03,  7.4039923e-04, ...,\n",
              "            1.2268053e-02, -1.3198548e-02, -3.2026084e-05],\n",
              "          [-3.9164912e-02, -7.5820535e-03,  1.3907746e-03, ...,\n",
              "           -6.6482779e-03, -1.0733108e-02, -9.9823792e-03],\n",
              "          [ 6.8326667e-03, -2.0392942e-03,  4.8815343e-03, ...,\n",
              "           -2.2594277e-03,  1.3842926e-03,  7.3076310e-03]]],\n",
              " \n",
              " \n",
              "        [[[ 4.3825014e-03, -8.4557459e-03,  6.0976552e-05, ...,\n",
              "           -1.5721424e-03, -6.2847957e-03, -6.0747643e-03],\n",
              "          [-1.9328265e-02,  4.7232583e-03,  5.4184967e-03, ...,\n",
              "           -7.3021773e-04,  5.4419693e-03, -1.3912930e-02],\n",
              "          [ 5.5229296e-03,  4.6481588e-03, -7.7780159e-03, ...,\n",
              "            2.7554642e-04, -1.3050669e-02, -3.9565605e-03],\n",
              "          ...,\n",
              "          [ 3.2179512e-04, -3.4885360e-03, -1.0874616e-02, ...,\n",
              "            8.2677584e-03, -1.1178210e-02,  7.5714481e-03],\n",
              "          [ 4.0616496e-03, -7.2419085e-03, -1.3705336e-03, ...,\n",
              "            1.0747767e-02, -7.4744545e-04, -1.1671883e-02],\n",
              "          [ 1.2030830e-03,  7.4582128e-04,  3.5220869e-03, ...,\n",
              "           -1.7955588e-04,  2.9120417e-03,  6.2693246e-03]],\n",
              " \n",
              "         [[-5.1713228e-04, -1.3903971e-02, -2.6596109e-03, ...,\n",
              "           -8.2665663e-03, -1.9626400e-02, -7.4289762e-03],\n",
              "          [-6.0759084e-03, -9.6884841e-04,  6.0364590e-03, ...,\n",
              "           -9.3692346e-03,  4.3691956e-03, -1.3639066e-02],\n",
              "          [-9.0519208e-03,  9.6781654e-03,  8.6934352e-03, ...,\n",
              "            9.1049206e-03, -9.7425170e-03, -7.6264590e-03],\n",
              "          ...,\n",
              "          [-3.8311486e-03,  7.1369117e-04, -1.1714270e-02, ...,\n",
              "            1.6859323e-02, -1.6344676e-02,  1.2910481e-02],\n",
              "          [ 9.2128823e-03, -1.5336460e-03,  5.2924841e-03, ...,\n",
              "            3.0931132e-03, -9.8296702e-03, -5.3623371e-04],\n",
              "          [ 3.9525158e-03,  9.3688892e-04,  3.7328359e-03, ...,\n",
              "           -5.5979183e-03,  1.0980255e-02,  1.2100901e-02]],\n",
              " \n",
              "         [[-1.7740640e-03, -1.1662573e-02,  1.6112716e-03, ...,\n",
              "            1.2962105e-04, -1.1654774e-02, -5.4892940e-03],\n",
              "          [ 1.5333769e-02, -6.9049154e-03,  9.9986177e-03, ...,\n",
              "           -1.2304787e-02,  1.6369390e-03, -1.8881094e-02],\n",
              "          [-1.9262903e-04,  2.8037187e-03, -1.7493139e-03, ...,\n",
              "            2.6137648e-02, -9.3979454e-03, -4.5618960e-03],\n",
              "          ...,\n",
              "          [-6.4418763e-03, -2.7641824e-03, -8.7552797e-03, ...,\n",
              "            1.0848792e-02, -1.2664125e-02,  1.1188427e-02],\n",
              "          [-1.4976529e-02, -8.0800392e-03,  1.1753010e-03, ...,\n",
              "           -1.4212406e-02, -1.4587110e-02, -5.5110687e-04],\n",
              "          [ 4.9651507e-03,  1.9658136e-03,  4.4132387e-03, ...,\n",
              "           -3.2392361e-03,  3.2961257e-03,  1.0079567e-02]]],\n",
              " \n",
              " \n",
              "        [[[-1.0813643e-02, -1.2109953e-03,  4.0739947e-03, ...,\n",
              "           -3.7609618e-03, -8.4045194e-03, -4.1101421e-03],\n",
              "          [-1.6155045e-02,  3.3042664e-04,  2.8314698e-03, ...,\n",
              "            3.8799408e-03,  1.0882318e-02, -1.2172839e-02],\n",
              "          [ 1.3959367e-02,  4.1269679e-03, -5.6302696e-03, ...,\n",
              "            8.7758545e-03, -3.2438899e-03, -3.4345812e-03],\n",
              "          ...,\n",
              "          [ 9.1708098e-03, -6.2859273e-03, -1.2609004e-02, ...,\n",
              "            1.6977531e-03, -9.6289860e-03,  5.1916544e-05],\n",
              "          [-9.7496519e-03, -2.1479633e-03, -1.9520836e-02, ...,\n",
              "           -9.5207070e-04,  6.3222921e-03, -1.7897552e-02],\n",
              "          [ 3.9352821e-03,  4.7744825e-03,  2.0808049e-03, ...,\n",
              "            9.7545320e-03, -1.2982457e-02,  4.6863281e-03]],\n",
              " \n",
              "         [[-6.3140173e-03, -2.0006283e-03, -4.0322897e-04, ...,\n",
              "            7.0220581e-03, -1.3161357e-02, -7.2546205e-03],\n",
              "          [-7.1486277e-03,  7.5339980e-04,  1.3867128e-03, ...,\n",
              "           -6.8810834e-03,  4.9706153e-03, -1.2716940e-02],\n",
              "          [-1.4313880e-03,  7.5597558e-03, -2.7771997e-03, ...,\n",
              "            3.3415109e-02, -3.9894031e-03, -6.9557610e-03],\n",
              "          ...,\n",
              "          [ 4.2238324e-03, -4.8141801e-03, -1.0185721e-02, ...,\n",
              "           -6.8885856e-04, -1.6479922e-02, -1.7523849e-04],\n",
              "          [-6.4725848e-03, -3.6925147e-03, -8.9367675e-03, ...,\n",
              "           -5.6522340e-03, -8.0006220e-04, -1.0039192e-02],\n",
              "          [ 5.7996372e-03,  3.7618543e-03,  1.6103454e-03, ...,\n",
              "           -5.3754007e-04, -1.7849701e-02,  5.1220311e-03]],\n",
              " \n",
              "         [[ 6.7127135e-04, -3.2391129e-03,  7.8760099e-04, ...,\n",
              "            7.2297198e-03, -5.2612908e-03, -4.2801294e-03],\n",
              "          [ 5.4616379e-03, -1.8265145e-03,  8.0440696e-03, ...,\n",
              "           -5.5095245e-04, -1.2544187e-03, -1.7182948e-02],\n",
              "          [ 4.7172702e-04,  6.6203335e-03, -5.3720833e-03, ...,\n",
              "            4.0812425e-02, -3.6152611e-03, -5.1507959e-03],\n",
              "          ...,\n",
              "          [-1.1449282e-03, -6.4645633e-03, -1.2517356e-02, ...,\n",
              "           -6.6413991e-03, -1.0809171e-02, -2.6953095e-03],\n",
              "          [-1.4766367e-02, -5.9053781e-03, -8.8806386e-04, ...,\n",
              "           -1.0663199e-02, -5.6493361e-03, -4.9214857e-03],\n",
              "          [ 4.3073772e-03,  3.5157984e-03,  4.7004086e-04, ...,\n",
              "           -2.4001813e-04, -1.6719183e-02,  4.8483759e-03]]]],\n",
              "       dtype=float32)>,\n",
              " <tf.Variable 'block5_conv1_2/bias:0' shape=(512,) dtype=float32, numpy=\n",
              " array([ 9.72232521e-02, -7.32301399e-02,  1.51504159e-01,  1.07368380e-01,\n",
              "        -7.87555948e-02, -2.41246987e-02,  8.48031044e-02,  6.24934174e-02,\n",
              "         2.88872004e-01,  1.55830339e-01,  1.34004295e-01,  6.98199943e-02,\n",
              "        -2.17193335e-01,  1.05869681e-01,  2.22256556e-01, -2.87815742e-02,\n",
              "         6.47584051e-02, -1.38827130e-01,  2.05309093e-01,  1.19278319e-01,\n",
              "        -4.18131426e-02, -1.11328689e-02, -8.71208981e-02,  7.55662546e-02,\n",
              "         2.64069051e-01,  9.73907709e-02, -6.56019151e-02, -1.39584467e-01,\n",
              "        -1.62646696e-01, -8.77466798e-03,  2.09752887e-01,  1.20625667e-01,\n",
              "         2.33027115e-01,  1.42718498e-02,  1.27024665e-01,  4.33076657e-02,\n",
              "         1.07562847e-01,  2.56101247e-02, -7.22438991e-02,  5.70154898e-02,\n",
              "         3.50982435e-02, -4.41192165e-02, -7.65857995e-02,  1.81532875e-01,\n",
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              "        -1.26094073e-01,  3.07464510e-01, -9.78475213e-02,  1.50838152e-01,\n",
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              "         4.95087057e-02,  2.92521685e-01,  1.36722494e-02, -9.93172526e-02,\n",
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              "         2.93219537e-01, -5.74299358e-02, -1.57354832e-01,  5.85990511e-02,\n",
              "         2.97562450e-01,  2.89446954e-02,  4.40704599e-02, -1.35887312e-02,\n",
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              "         4.78458256e-02,  9.33266059e-02,  2.19508559e-01,  1.06764831e-01,\n",
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              "        -7.36410916e-02, -8.18443149e-02,  1.54231995e-01,  3.45540904e-02,\n",
              "         7.77417421e-02,  3.94710861e-02, -1.87491804e-01,  9.31138769e-02,\n",
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              "        -9.21867788e-02,  6.70548007e-02, -5.55852577e-02,  1.85056180e-01,\n",
              "         8.37340429e-02,  4.81872410e-02,  1.02761738e-01, -1.27836660e-01,\n",
              "        -1.25223845e-01, -7.84098506e-02,  3.93300280e-02, -1.70610026e-01,\n",
              "         4.39143926e-02,  1.45399451e-01,  1.83793366e-01, -4.63268310e-02,\n",
              "        -9.10706446e-02,  1.30470559e-01,  3.45735438e-03, -9.39716399e-02,\n",
              "         2.15176061e-01, -2.00502500e-01, -6.55688122e-02, -1.82779312e-01,\n",
              "         7.54564404e-02,  2.45926872e-01,  9.01386812e-02,  4.41717096e-02,\n",
              "         9.59510636e-03,  2.99080610e-02, -3.50802809e-01,  1.49108902e-01,\n",
              "        -6.89550117e-02,  2.92768590e-02, -2.59770513e-01, -7.68297017e-02,\n",
              "        -1.77641049e-01,  4.57492262e-01,  1.85859293e-01, -1.14464037e-01,\n",
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              "         6.37099263e-04,  2.93955747e-02,  2.19126306e-02, -1.08865000e-01,\n",
              "         3.13707888e-02, -1.31874785e-01,  1.34321097e-02,  1.25567932e-02,\n",
              "         1.07721753e-01, -1.53308257e-01, -7.10092187e-02, -7.27935582e-02,\n",
              "         2.85641074e-01,  4.47935127e-02, -5.52070104e-02, -1.30422609e-02,\n",
              "         1.23817161e-01, -1.74044929e-02, -1.99130312e-01,  7.32331499e-02,\n",
              "         7.54711181e-02, -1.73574343e-01,  6.64412277e-03,  3.79290991e-02,\n",
              "        -1.63129531e-02, -1.05556346e-01,  5.55862300e-02, -1.77324861e-02,\n",
              "         3.48688327e-02,  5.44465706e-02, -7.10303709e-02, -7.02253059e-02,\n",
              "        -5.71787693e-02,  4.69734930e-02, -8.38443041e-02,  4.36032638e-02,\n",
              "         1.34468764e-01,  1.42802104e-01, -9.68526676e-02, -3.62464488e-02,\n",
              "        -3.52542698e-02, -1.72721241e-02, -9.06758308e-02, -9.79517773e-02,\n",
              "         7.56007954e-02,  1.20084636e-01, -1.15540870e-01, -1.40418530e-01,\n",
              "         1.22560948e-01,  2.40212176e-02,  9.04814005e-02, -1.91712096e-01,\n",
              "        -3.55947725e-02, -2.78878361e-02, -1.06624737e-01, -8.56165662e-02,\n",
              "        -1.23428777e-01,  1.16616353e-01,  2.84349471e-01,  6.05120044e-03,\n",
              "         1.65983543e-01, -9.34971347e-02,  1.19639456e-01, -1.85345355e-02,\n",
              "        -6.61099553e-02, -7.99963158e-03,  4.71975878e-02, -7.14084134e-02,\n",
              "         7.11026741e-03,  2.66952932e-01,  1.45430416e-01,  8.56207535e-02,\n",
              "         3.38725746e-01,  3.96331958e-02, -1.45800680e-01,  1.66975930e-01,\n",
              "        -1.08074434e-01,  1.59030661e-01,  2.25047082e-01,  1.42287627e-01,\n",
              "        -1.36478236e-02,  7.06764534e-02,  2.60705262e-01,  1.15524724e-01,\n",
              "         2.21833289e-01,  5.80034144e-02, -1.56820610e-01,  3.02231193e-01,\n",
              "         2.71723896e-01, -5.04713785e-03,  7.28831291e-02,  8.91094729e-02,\n",
              "         1.82268739e-01,  8.79880041e-02,  3.89606878e-02, -1.72649994e-02,\n",
              "         1.50122255e-01,  4.28993702e-02,  5.88023104e-02, -9.18406695e-02,\n",
              "         7.47657269e-02,  4.44494486e-01,  1.49463758e-01, -4.35398147e-02,\n",
              "        -2.31067967e-02,  3.25366631e-02,  2.95995384e-01,  1.08001344e-01,\n",
              "         1.26205295e-01,  3.68891031e-01,  1.21568717e-01,  1.12235777e-01,\n",
              "         1.88650295e-01, -3.62094343e-02, -5.28821200e-02,  1.80033222e-01,\n",
              "         7.66739175e-02,  1.70229360e-01,  1.44137412e-01,  9.78369042e-02,\n",
              "        -1.48568690e-01,  7.30241612e-02,  2.60537237e-01,  8.17443207e-02,\n",
              "         9.07354206e-02, -1.46276236e-01,  3.93006764e-02,  1.46489998e-04,\n",
              "        -1.17084712e-01, -5.83123378e-02, -5.44318892e-02,  7.57218078e-02,\n",
              "         2.11517498e-01,  1.14996850e-01,  1.53895184e-01, -4.45573479e-02,\n",
              "        -1.30707353e-01,  5.69508709e-02,  3.54849011e-01,  4.87805624e-03,\n",
              "         3.44373435e-02,  1.65210336e-01,  2.33957656e-02,  1.49531543e-01,\n",
              "         7.07088113e-02,  2.92125288e-02,  2.49673471e-01,  9.26863849e-02,\n",
              "         6.01426139e-02,  8.50257501e-02,  4.29810844e-02,  3.52593660e-01,\n",
              "        -1.15543187e-01,  2.04325944e-01,  1.29647478e-01, -8.82687271e-02,\n",
              "        -4.20641303e-02,  3.08955684e-02,  1.20931409e-01,  6.39748514e-01],\n",
              "       dtype=float32)>,\n",
              " <tf.Variable 'block5_conv2_2/kernel:0' shape=(3, 3, 512, 512) dtype=float32, numpy=\n",
              " array([[[[-1.12610648e-03, -1.39102731e-02, -4.15291899e-04, ...,\n",
              "           -2.39090272e-03,  5.59418183e-03, -1.67810004e-02],\n",
              "          [ 1.13813886e-02, -6.83033955e-04, -8.76976922e-03, ...,\n",
              "           -8.44151899e-03, -3.70610040e-03,  1.24894250e-02],\n",
              "          [ 2.18971120e-03,  1.76711346e-03,  1.23967733e-02, ...,\n",
              "            1.34555586e-02,  1.07239345e-02,  5.72480168e-03],\n",
              "          ...,\n",
              "          [-8.70769471e-03,  4.26163105e-03, -7.06244586e-03, ...,\n",
              "            1.54851489e-02,  4.63837199e-03,  7.84500409e-03],\n",
              "          [-6.56485325e-04,  7.68889068e-03, -1.45298289e-03, ...,\n",
              "           -7.35005224e-03, -3.10419098e-04,  8.47741403e-03],\n",
              "          [ 5.95664885e-03, -3.27580003e-03, -5.32116368e-03, ...,\n",
              "           -2.03936966e-03,  1.35865889e-03,  5.91904763e-03]],\n",
              " \n",
              "         [[ 2.12769513e-03, -5.14811045e-03, -5.62243350e-03, ...,\n",
              "           -1.31134260e-02,  4.88865655e-03, -1.01500070e-02],\n",
              "          [ 1.17016789e-02, -7.15120370e-03, -8.39244854e-03, ...,\n",
              "           -6.67586317e-03, -5.10410266e-03,  1.43477311e-02],\n",
              "          [ 1.43261172e-03,  2.12484729e-02,  9.50200390e-03, ...,\n",
              "           -1.57885591e-03,  1.82978567e-02,  3.79953301e-03],\n",
              "          ...,\n",
              "          [-7.53166946e-03,  2.99661653e-03, -4.78781341e-03, ...,\n",
              "            9.03842878e-03,  4.02625185e-03,  9.22073331e-03],\n",
              "          [-3.35529796e-03,  3.79348244e-03,  1.26775482e-03, ...,\n",
              "           -5.82869118e-03, -8.80411360e-03,  7.26862065e-03],\n",
              "          [ 1.36666895e-05, -3.68203758e-03, -3.14675691e-03, ...,\n",
              "            2.22825771e-03,  7.57493125e-03,  1.02467118e-02]],\n",
              " \n",
              "         [[-8.14719591e-03, -2.00505066e-03, -8.80919211e-03, ...,\n",
              "           -1.66545529e-02,  1.98264781e-04, -3.52188433e-03],\n",
              "          [ 7.94519577e-03, -3.68036679e-03, -8.26357119e-03, ...,\n",
              "           -2.82117142e-03, -4.27439064e-03,  1.01640765e-02],\n",
              "          [ 4.09189891e-03,  1.91902220e-02,  1.09405918e-02, ...,\n",
              "           -2.29260847e-02,  2.60341149e-02,  7.29925465e-03],\n",
              "          ...,\n",
              "          [-2.73322989e-03,  3.00269900e-03, -9.70353652e-03, ...,\n",
              "           -1.42436460e-04,  9.75819398e-03,  2.72412854e-03],\n",
              "          [-4.47429763e-03, -3.83435097e-03,  7.17543124e-04, ...,\n",
              "            3.04877380e-04, -2.06050486e-03,  9.71180678e-04],\n",
              "          [ 2.62887310e-03,  1.30386110e-02, -6.04727073e-03, ...,\n",
              "            2.77841953e-03,  1.50414938e-02,  9.90516134e-03]]],\n",
              " \n",
              " \n",
              "        [[[-8.03796295e-03, -1.13971503e-02,  6.58952724e-03, ...,\n",
              "           -4.81049181e-04,  6.43613422e-03, -1.79823674e-02],\n",
              "          [ 1.67138800e-02, -7.45473197e-03, -8.19350593e-03, ...,\n",
              "           -6.07861159e-03,  3.93439055e-04,  1.27271740e-02],\n",
              "          [ 8.36025982e-04, -4.70938452e-04,  1.17752301e-02, ...,\n",
              "            1.79414582e-02,  3.75301763e-03,  1.27263891e-04],\n",
              "          ...,\n",
              "          [-8.50693882e-03,  6.07048161e-03, -2.66443216e-03, ...,\n",
              "            1.42896026e-02,  2.49904767e-03,  1.79498718e-04],\n",
              "          [-2.46597454e-03,  7.29254400e-03,  2.94409954e-04, ...,\n",
              "           -3.63253732e-03, -3.63337738e-03,  5.07437345e-03],\n",
              "          [-1.16811926e-03, -3.15029873e-03, -8.24172632e-04, ...,\n",
              "           -8.88785627e-03, -5.48729068e-03,  3.78749473e-03]],\n",
              " \n",
              "         [[-4.39948402e-03, -3.47739854e-03,  2.43245202e-04, ...,\n",
              "           -9.84785520e-03,  5.21054072e-03, -1.97509974e-02],\n",
              "          [ 1.85958110e-02, -1.33645898e-02, -1.02767739e-02, ...,\n",
              "           -2.41490663e-03,  4.60673073e-05,  1.20157907e-02],\n",
              "          [-5.91966091e-03,  9.24645830e-03,  1.21005550e-02, ...,\n",
              "           -1.05297462e-04,  1.10596651e-02,  2.63926852e-03],\n",
              "          ...,\n",
              "          [-9.06946044e-03, -1.54343119e-03, -6.10274205e-04, ...,\n",
              "            1.09442594e-02,  3.13927210e-03, -3.25301266e-03],\n",
              "          [-5.20819006e-03,  5.09213936e-03,  3.94632714e-03, ...,\n",
              "           -4.01240168e-03, -9.69846640e-03,  7.10429577e-03],\n",
              "          [-6.86919549e-03, -2.47165700e-03,  1.92192208e-03, ...,\n",
              "           -4.51413356e-03,  1.72176212e-03,  4.92478209e-03]],\n",
              " \n",
              "         [[-6.22658757e-03, -3.43090994e-03, -8.35243613e-03, ...,\n",
              "           -1.15216067e-02,  1.53592986e-03, -3.64543474e-03],\n",
              "          [ 1.28823500e-02, -6.69739628e-03, -8.30523577e-03, ...,\n",
              "            3.48634925e-03,  1.83020544e-03,  8.27968866e-03],\n",
              "          [-1.76686270e-03,  9.79864504e-03,  1.12368744e-02, ...,\n",
              "           -2.05144864e-02,  1.31868133e-02,  1.41431252e-02],\n",
              "          ...,\n",
              "          [ 1.68414356e-03, -3.16251907e-03, -4.50956682e-03, ...,\n",
              "            1.08172344e-02,  8.38247407e-03,  9.00894694e-04],\n",
              "          [-8.00926052e-03, -5.72536979e-03,  1.28548976e-03, ...,\n",
              "            2.47490546e-03, -3.73221375e-03,  2.54621520e-03],\n",
              "          [-4.48723370e-03,  1.57816298e-02, -3.63634876e-03, ...,\n",
              "            3.34846694e-03,  1.33423917e-02,  4.46979143e-03]]],\n",
              " \n",
              " \n",
              "        [[[-3.98385944e-03, -7.72264041e-03,  5.79379732e-03, ...,\n",
              "            4.73350612e-03,  8.24284181e-03, -9.89352167e-03],\n",
              "          [ 8.95213708e-03, -1.56957563e-03, -2.67244899e-03, ...,\n",
              "           -4.31917328e-03, -7.22031249e-03,  7.08149793e-03],\n",
              "          [-6.78315479e-03,  7.97655899e-03,  1.22533282e-02, ...,\n",
              "            1.35311754e-02,  1.13436170e-02,  1.00916745e-02],\n",
              "          ...,\n",
              "          [-5.42715983e-03,  6.82500936e-03,  2.06867745e-03, ...,\n",
              "            1.15423445e-02,  1.35911524e-03, -5.60511416e-03],\n",
              "          [ 4.61982097e-03,  8.86386912e-03, -5.09008206e-03, ...,\n",
              "            2.30618101e-03, -2.10025930e-03, -1.28205456e-02],\n",
              "          [-1.71301316e-03, -1.08229686e-02, -6.23088004e-03, ...,\n",
              "           -9.36139748e-03,  4.23580030e-04,  6.02343772e-03]],\n",
              " \n",
              "         [[-7.84571003e-03, -7.72077264e-03, -4.10368491e-04, ...,\n",
              "           -4.64761769e-03,  4.84151114e-03, -8.10108799e-03],\n",
              "          [ 7.03802519e-03, -6.14652690e-03, -3.35389609e-03, ...,\n",
              "           -7.66926736e-04, -4.10724850e-03,  3.30237439e-03],\n",
              "          [-1.26976296e-02,  4.06949688e-03,  1.57761611e-02, ...,\n",
              "            2.05063750e-03,  1.35973999e-02,  2.45495401e-02],\n",
              "          ...,\n",
              "          [-4.94020339e-03, -6.04472240e-04,  3.70768807e-03, ...,\n",
              "            5.28301718e-03,  5.77830663e-03, -5.73270582e-03],\n",
              "          [ 6.47951430e-03,  5.04286960e-03, -5.76301245e-03, ...,\n",
              "           -3.84971802e-03, -1.53160375e-02, -1.36713414e-02],\n",
              "          [-6.13218453e-03, -7.85352290e-03, -2.66636047e-03, ...,\n",
              "           -2.86623905e-03,  8.13857932e-03,  3.23665445e-03]],\n",
              " \n",
              "         [[-1.03016887e-02, -7.32906163e-03, -1.26632303e-02, ...,\n",
              "           -1.51485833e-03, -4.73790773e-04, -1.50191726e-03],\n",
              "          [ 2.47099600e-03, -3.58005147e-03, -8.92815471e-04, ...,\n",
              "            2.19221620e-04, -5.89206407e-04,  1.02671504e-03],\n",
              "          [-7.04030367e-03,  2.31858669e-03,  1.17366202e-02, ...,\n",
              "           -1.00303544e-02,  9.60416254e-03,  3.07981335e-02],\n",
              "          ...,\n",
              "          [ 1.02732638e-02, -4.61639231e-03, -3.90697533e-04, ...,\n",
              "            5.76351210e-03,  5.99978026e-03, -6.46614050e-03],\n",
              "          [ 1.79310958e-03, -1.10877156e-02, -4.39016009e-03, ...,\n",
              "           -3.89495096e-03, -1.43652763e-02, -1.33516490e-02],\n",
              "          [-4.76273848e-03,  9.76819452e-03, -6.88574556e-03, ...,\n",
              "            7.87178893e-03,  2.10002940e-02,  2.46465113e-03]]]],\n",
              "       dtype=float32)>,\n",
              " <tf.Variable 'block5_conv2_2/bias:0' shape=(512,) dtype=float32, numpy=\n",
              " array([ 2.13278726e-01,  2.32329801e-01,  1.57151520e-02, -6.70147175e-03,\n",
              "         2.54097760e-01, -1.00149654e-01, -8.36583301e-02,  2.02481151e-01,\n",
              "        -1.42848700e-01,  1.77087430e-02, -2.12744266e-01, -2.57271100e-02,\n",
              "        -1.41537204e-01,  1.14469334e-01,  6.01538382e-02,  3.76103938e-01,\n",
              "        -3.72519553e-01,  1.40026376e-01, -4.37423550e-02, -1.54562220e-01,\n",
              "         1.70293525e-01,  4.88189682e-02, -2.26634011e-01,  2.06878632e-02,\n",
              "        -1.39044002e-01,  2.94346511e-01,  6.97177928e-03, -9.19279605e-02,\n",
              "         1.69544652e-01, -3.45243275e-01,  2.24639952e-01,  2.49377400e-01,\n",
              "         1.09288786e-02,  2.59293765e-01,  3.07276517e-01, -7.85489976e-02,\n",
              "        -1.98504012e-02,  3.29028279e-01, -1.72007695e-01, -8.32872316e-02,\n",
              "         4.12283033e-01,  4.27057028e-01, -6.69640023e-04, -1.90807786e-02,\n",
              "         1.99608058e-02,  1.33982033e-01,  6.11348823e-02, -1.53467342e-01,\n",
              "        -4.02507395e-01, -5.18702641e-02,  2.81949788e-01, -9.81014594e-03,\n",
              "         3.08913160e-02,  6.16866648e-02, -1.52534977e-01,  3.53446037e-01,\n",
              "         2.12723255e-01, -5.65962374e-01,  2.13322058e-01,  3.33331265e-02,\n",
              "         2.18498871e-01, -3.64092626e-02,  6.26419559e-02,  2.63942719e-01,\n",
              "         6.76808506e-02,  1.76065147e-01,  1.32455960e-01,  8.09534490e-02,\n",
              "         4.20970976e-01,  2.45447010e-01,  9.40517634e-02,  2.62030274e-01,\n",
              "         2.07859039e-01, -1.26895547e-01, -7.72396773e-02,  6.01348840e-02,\n",
              "        -4.77694571e-02,  6.82831630e-02,  1.21956528e-03,  1.36679605e-01,\n",
              "         2.72098005e-01,  3.63185108e-02,  3.45317125e-01,  1.09104455e-01,\n",
              "         1.36538848e-01,  1.74370810e-01, -5.80689192e-01, -1.29161194e-01,\n",
              "        -2.64734268e-01,  7.22823024e-01,  5.51068932e-02,  6.82976171e-02,\n",
              "        -2.05691177e-02,  6.75572380e-02, -1.18106611e-01,  1.66148528e-01,\n",
              "         2.65065789e-01, -1.40838578e-01, -1.13926053e-01, -7.64771700e-01,\n",
              "         2.43444085e-01, -5.57120815e-02, -2.55624652e-01,  3.85610074e-01,\n",
              "        -1.44879567e-02,  1.63364053e-01,  1.00237662e-02,  3.97323340e-01,\n",
              "        -7.04556704e-01, -2.19556034e-01,  2.09620565e-01,  2.83576787e-01,\n",
              "         6.42748699e-02,  3.93527038e-02,  8.13223980e-03, -1.37996048e-01,\n",
              "         9.31574106e-02,  6.41047806e-02,  9.02974159e-02, -4.22395229e-01,\n",
              "        -4.66141850e-02,  2.09921628e-01,  2.69864768e-01,  1.75364614e-01,\n",
              "         3.92805934e-01,  2.61148997e-02,  3.43184263e-01, -1.36680976e-01,\n",
              "         7.66678825e-02, -7.67129511e-02,  1.39000401e-01, -6.38619214e-02,\n",
              "         7.51705691e-02,  1.81327790e-01, -7.02414438e-02, -1.87789407e-02,\n",
              "        -3.80455293e-02,  1.47579476e-01,  1.84434429e-02, -5.12089878e-02,\n",
              "         2.01663211e-01, -7.26428106e-02,  1.55012429e-01,  1.10663034e-01,\n",
              "        -1.65615901e-01,  2.40110960e-02,  4.79917049e-01,  2.09958673e-01,\n",
              "         4.97291982e-02,  2.68139869e-01,  1.82850733e-01,  3.03464174e-01,\n",
              "        -4.91772629e-02,  1.32150194e-02,  2.09124073e-01,  1.07672758e-01,\n",
              "         2.45396182e-01,  8.34394395e-02,  8.05274025e-02,  7.64415264e-02,\n",
              "         8.56247693e-02,  4.96439356e-03,  1.25398323e-01,  2.49067828e-01,\n",
              "         1.94723964e-01,  4.58731391e-02, -8.88940915e-02,  4.20743972e-01,\n",
              "        -8.21111277e-02, -1.45499691e-01,  2.78597444e-01, -3.63252424e-02,\n",
              "         2.06234962e-01,  2.28693098e-01,  9.95886791e-03, -1.10201925e-01,\n",
              "        -9.74908993e-02, -3.03504437e-01,  9.26612690e-02, -2.10227557e-02,\n",
              "         2.59572864e-01,  7.11193904e-02,  2.11067975e-01,  1.62974775e-01,\n",
              "         1.62764654e-01, -4.78741825e-02,  4.58417088e-02,  3.80256511e-02,\n",
              "         1.25822708e-01,  3.20309401e-01, -3.58499885e-02,  2.67319262e-01,\n",
              "        -6.52918458e-01,  2.48101741e-01,  1.16309874e-01,  5.64715303e-02,\n",
              "         2.23180756e-01, -8.33447203e-02,  1.39551774e-01,  5.74671514e-02,\n",
              "         1.91890463e-01, -3.99313681e-03,  3.11073303e-01, -2.77877524e-02,\n",
              "         2.16852233e-01, -1.26395524e-01,  3.49284828e-01,  7.58803263e-02,\n",
              "         4.14046675e-01, -3.06704771e-02,  2.85062250e-02,  1.91049010e-01,\n",
              "         1.57977223e-01,  5.55282575e-04, -1.60641447e-01,  1.95794493e-01,\n",
              "         2.21998945e-01, -8.28020796e-02, -3.21320929e-02,  7.23793432e-02,\n",
              "        -1.76688388e-01,  2.45178908e-01,  4.32021171e-03, -1.53720647e-01,\n",
              "         6.39710426e-02, -3.81282091e-01,  7.59766817e-01,  9.65218022e-02,\n",
              "         3.92138250e-02,  8.57566670e-03,  1.83055371e-01,  3.34058814e-02,\n",
              "        -2.64758289e-01,  2.18491539e-01, -1.21293664e-02,  1.67465046e-01,\n",
              "         2.70698696e-01, -1.49033427e-01,  1.86509117e-02, -3.34587023e-02,\n",
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              "         1.08870104e-01,  1.73344433e-01,  1.98710099e-01,  4.36336957e-02,\n",
              "         2.62033671e-01, -1.00803122e-01,  5.24610758e-01,  1.70146555e-01,\n",
              "         1.07129000e-01, -3.67283463e-01,  2.68015917e-02, -6.59564137e-01,\n",
              "         1.46105260e-01,  2.75709815e-02, -1.88518927e-01,  1.20801501e-01,\n",
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              "         4.79313701e-01,  3.42917681e-01, -3.34198438e-02, -3.41561764e-01,\n",
              "         1.75815612e-01, -3.59087467e-01,  6.10887222e-02, -4.92576547e-02,\n",
              "         1.54441878e-01, -7.28115290e-02,  3.67573738e-01,  8.98908004e-02,\n",
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              "         1.65047705e-01,  3.65190685e-01,  1.18729115e-01,  7.38752782e-02,\n",
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              "         2.11968094e-01,  3.74513566e-01, -4.97587882e-02,  1.39423952e-01,\n",
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              "        -1.90947816e-01,  1.06812447e-01, -7.82530941e-03, -6.60004541e-02,\n",
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              "         4.94845808e-02,  4.33381796e-01,  6.63721487e-02,  2.66792089e-01,\n",
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              "         2.12002605e-01,  4.70723026e-02,  1.55368000e-01,  1.08918361e-01,\n",
              "         6.87757283e-02,  2.72534370e-01,  1.44902080e-01, -1.68686491e-02,\n",
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              "        -1.63062274e-01,  6.27826527e-02,  1.62692279e-01,  1.10148959e-01,\n",
              "         2.50042826e-01,  1.92564636e-01, -3.29279825e-02,  8.73595774e-02,\n",
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              "        -8.36205706e-02, -6.77409768e-03,  1.48594499e-01,  1.30210623e-01,\n",
              "         2.62326032e-01, -2.87208073e-02,  3.24752778e-02, -9.87079740e-03,\n",
              "         7.52181709e-02,  1.08591266e-01,  4.58415896e-02,  6.27836958e-02,\n",
              "         1.52184710e-01, -7.43376371e-03,  1.08495593e-01,  2.77632445e-01,\n",
              "         1.19359670e-02,  1.36060016e-02,  2.08717749e-01,  4.05857526e-02,\n",
              "         2.60712862e-01,  4.02474791e-01,  2.10542947e-01,  4.15131897e-01,\n",
              "         7.40829855e-02,  9.92712453e-02, -1.69865116e-01, -8.31194893e-02,\n",
              "        -7.56599426e-01,  2.82342285e-01, -5.45069203e-03,  3.20360482e-01,\n",
              "        -1.06196120e-01, -5.31354211e-02,  5.09625748e-02, -3.74190547e-02,\n",
              "         8.99988338e-02,  2.25224167e-01, -4.02766854e-01, -4.26091775e-02,\n",
              "         2.09927917e-01,  1.28805548e-01, -2.68443525e-01, -6.91533275e-03,\n",
              "         3.41932654e-01,  1.39936641e-01,  3.62053931e-01,  9.15973783e-02,\n",
              "         2.09024772e-01, -1.56470269e-01,  1.46654800e-01, -2.16415867e-01,\n",
              "        -1.32667748e-02,  1.49863943e-01, -1.07473610e-02, -6.58824146e-02,\n",
              "        -1.97233647e-01, -2.01405942e-01, -2.77925264e-02, -1.50060147e-01,\n",
              "         9.42247361e-02,  2.04853266e-01,  4.35391963e-02,  1.78399041e-01,\n",
              "         1.83343783e-01, -1.22696958e-01,  2.04414040e-01,  2.90846854e-01,\n",
              "         1.21619359e-01, -1.94642991e-01,  2.86005214e-02,  5.31951547e-01,\n",
              "        -2.70389646e-01, -1.51390404e-01, -4.79240343e-03,  2.29093239e-01,\n",
              "        -2.53238827e-01, -4.02558781e-02,  1.50439456e-01, -4.31613736e-02,\n",
              "         9.37732160e-02,  4.89119172e-01,  3.58660631e-02, -4.56337705e-02,\n",
              "        -6.33749040e-03,  8.82187635e-02,  2.08025292e-01,  4.15855139e-01,\n",
              "         1.72531709e-01,  1.02334842e-01,  3.62423569e-01,  9.70884785e-02,\n",
              "        -4.27529395e-01, -7.44454384e-01, -2.86756486e-01,  2.41579264e-01,\n",
              "         2.55721688e-01,  2.33342111e-01,  3.72318149e-01, -5.91950044e-02,\n",
              "        -9.17105675e-01,  2.30280116e-01, -1.02454223e-01, -1.57411680e-01,\n",
              "         2.57903012e-03,  3.25026102e-02,  1.92252338e-01, -9.96460691e-02,\n",
              "         1.06442891e-01,  1.07584395e-01, -4.43986133e-02, -4.05258000e-01,\n",
              "        -1.85224727e-01,  1.79304972e-01, -3.31959456e-01, -1.42133012e-02,\n",
              "         1.39563635e-01,  2.79828519e-01,  1.24286108e-01,  1.88625589e-01,\n",
              "         3.03091377e-01,  2.97313422e-01,  3.22930291e-02,  6.05367683e-02,\n",
              "         1.70370415e-01,  2.86071420e-01,  1.00513615e-01,  6.52797073e-02,\n",
              "         3.56945515e-01,  5.85718872e-03, -1.53081819e-01, -1.08499629e-02,\n",
              "        -4.60346401e-01,  1.64361209e-01,  2.35172257e-01, -1.76724881e-01],\n",
              "       dtype=float32)>,\n",
              " <tf.Variable 'block5_conv3_2/kernel:0' shape=(3, 3, 512, 512) dtype=float32, numpy=\n",
              " array([[[[ 4.07882966e-04,  4.82621184e-03, -9.11695044e-03, ...,\n",
              "            1.51569908e-02, -2.73966836e-03, -4.83311387e-03],\n",
              "          [ 3.48924054e-03,  2.60589737e-03, -8.10198858e-03, ...,\n",
              "            8.86987546e-04, -7.08238874e-03, -7.96321197e-04],\n",
              "          [-1.12759033e-02, -6.43836753e-03, -8.05236772e-03, ...,\n",
              "            1.90410519e-03,  3.87627119e-03,  1.96338408e-02],\n",
              "          ...,\n",
              "          [-1.49949323e-02,  1.20318262e-02,  9.87236737e-04, ...,\n",
              "           -2.89861043e-03,  4.03315574e-03, -5.93429338e-03],\n",
              "          [-7.53336679e-03,  6.08530594e-03,  9.90014290e-04, ...,\n",
              "            1.63243050e-04, -3.09621776e-03, -3.01808352e-03],\n",
              "          [-2.62522907e-03,  3.51887429e-03, -2.58309790e-03, ...,\n",
              "           -6.02027494e-03, -8.85035843e-03,  9.85825085e-04]],\n",
              " \n",
              "         [[ 3.02846078e-04,  2.64736195e-03, -1.37099335e-02, ...,\n",
              "            1.49135189e-02, -4.65666235e-04, -6.84898719e-03],\n",
              "          [-9.60117579e-03,  5.01031429e-03, -1.13053191e-02, ...,\n",
              "            8.86707660e-03,  6.21224102e-03,  2.48882570e-03],\n",
              "          [-1.13499342e-02, -4.72285505e-03, -8.57903156e-03, ...,\n",
              "           -3.04920389e-03,  9.67197306e-03,  1.90250184e-02],\n",
              "          ...,\n",
              "          [-4.48127137e-03,  5.53716440e-03,  4.68912302e-03, ...,\n",
              "           -4.91005788e-03,  6.40070112e-03, -8.28019064e-03],\n",
              "          [-6.00830279e-03, -7.51605199e-04,  8.29616503e-04, ...,\n",
              "            2.07461347e-03,  3.22994636e-03, -1.69727230e-03],\n",
              "          [-2.81035155e-03,  1.36994272e-02, -2.04460253e-03, ...,\n",
              "           -5.17683988e-03, -9.04289633e-03, -1.79657899e-03]],\n",
              " \n",
              "         [[ 3.09069827e-03, -7.85107608e-04, -1.12262042e-02, ...,\n",
              "            1.38624888e-02, -1.50248851e-03, -2.83075101e-03],\n",
              "          [-1.78263709e-02, -4.06336552e-03, -1.11764381e-02, ...,\n",
              "            1.76884588e-02, -1.14172359e-03,  1.50952139e-03],\n",
              "          [-1.26420632e-02, -1.19902752e-03, -1.03873471e-02, ...,\n",
              "           -1.54873531e-03,  3.21487361e-03,  1.84067711e-02],\n",
              "          ...,\n",
              "          [ 4.99952445e-03,  8.96072667e-03,  2.35912274e-03, ...,\n",
              "           -6.95799524e-03,  9.11425054e-03, -1.76598097e-03],\n",
              "          [-3.11188446e-03, -4.81695170e-03,  2.14671413e-03, ...,\n",
              "            8.69878661e-03,  4.66441829e-03,  3.96351190e-03],\n",
              "          [-1.56560540e-03,  1.01758400e-02, -1.81451999e-03, ...,\n",
              "           -7.93038029e-03, -7.92690739e-03,  9.85421613e-03]]],\n",
              " \n",
              " \n",
              "        [[[ 2.21009902e-03,  5.53841889e-03, -1.51329748e-02, ...,\n",
              "            1.92244705e-02, -2.94085429e-03, -2.05214042e-03],\n",
              "          [ 4.31180233e-03, -4.67703957e-03, -9.83539224e-03, ...,\n",
              "           -1.16664264e-03, -7.47026131e-03,  8.98758229e-03],\n",
              "          [-1.00150378e-02, -3.31197702e-03, -4.38165246e-03, ...,\n",
              "            1.28704909e-04,  6.90069282e-05,  5.32614533e-03],\n",
              "          ...,\n",
              "          [-1.65325180e-02,  5.79520175e-03, -1.08136714e-03, ...,\n",
              "           -3.87264206e-03,  3.87065555e-03, -8.52444116e-03],\n",
              "          [-1.10835498e-02,  6.04208373e-03,  6.12878706e-03, ...,\n",
              "           -4.66409931e-03, -1.65367487e-03, -4.93706390e-03],\n",
              "          [-5.82469627e-03,  2.77068373e-03,  2.59765168e-03, ...,\n",
              "           -9.57501866e-03, -3.32338479e-03,  3.07677989e-03]],\n",
              " \n",
              "         [[ 3.59932799e-03,  1.19693214e-02, -1.60994809e-02, ...,\n",
              "            1.80910621e-02,  3.29896147e-06, -6.10836258e-04],\n",
              "          [-7.41903298e-03, -5.61146066e-03, -1.38216335e-02, ...,\n",
              "            2.96197180e-03,  2.69207382e-03,  7.01817824e-03],\n",
              "          [-8.48251395e-03,  9.95878596e-04,  6.25522574e-04, ...,\n",
              "           -3.68017773e-03,  1.27349654e-02,  4.87677474e-03],\n",
              "          ...,\n",
              "          [-8.20725970e-03,  1.95525214e-03,  2.69707199e-03, ...,\n",
              "           -4.49266564e-03,  6.45229314e-03, -1.28380703e-02],\n",
              "          [-5.50353806e-03,  1.61080994e-03,  1.39699667e-03, ...,\n",
              "           -2.52319360e-03, -4.11227718e-03, -5.21757640e-03],\n",
              "          [-2.69698747e-03,  2.70054420e-03,  3.79564380e-03, ...,\n",
              "           -7.66708190e-03, -9.20492224e-03, -4.52092383e-03]],\n",
              " \n",
              "         [[ 2.48262100e-03,  6.13112841e-03, -1.47995697e-02, ...,\n",
              "            1.69335436e-02,  1.16662926e-03,  1.17623655e-03],\n",
              "          [-1.69411730e-02, -8.71018134e-03, -1.29530905e-02, ...,\n",
              "            1.87354535e-03, -6.88433880e-04, -1.68701622e-03],\n",
              "          [-6.59902534e-03,  3.46401357e-03, -3.11806914e-03, ...,\n",
              "           -4.05590283e-03,  7.37769250e-03,  5.51742781e-03],\n",
              "          ...,\n",
              "          [ 9.51702707e-04,  1.64372730e-03,  1.49127271e-03, ...,\n",
              "           -7.65326899e-03,  1.19846454e-02, -9.10102390e-03],\n",
              "          [ 2.88849953e-03, -5.35335718e-03, -3.08376068e-04, ...,\n",
              "            3.87483276e-04, -4.36716061e-03, -2.73425644e-03],\n",
              "          [-1.54271268e-03,  4.30263951e-03, -4.31923472e-05, ...,\n",
              "           -5.21167647e-03, -8.79874174e-03, -2.11346560e-04]]],\n",
              " \n",
              " \n",
              "        [[[-2.93453527e-03,  4.62880917e-03, -9.69677325e-03, ...,\n",
              "            1.48544796e-02,  3.87839018e-03,  1.85810984e-03],\n",
              "          [ 5.63784037e-03, -6.04889123e-03, -5.59245935e-03, ...,\n",
              "           -4.98529337e-03, -1.92062720e-03,  4.07473044e-03],\n",
              "          [-4.84194839e-03,  2.70295335e-04, -3.02166585e-03, ...,\n",
              "           -1.49492722e-03, -1.31164724e-02,  2.69274553e-03],\n",
              "          ...,\n",
              "          [-1.79702230e-02, -3.29879066e-03, -6.12194091e-03, ...,\n",
              "           -7.89267663e-03, -1.74841529e-03, -2.64002383e-03],\n",
              "          [-1.11466460e-02,  5.13884844e-03,  1.51880039e-02, ...,\n",
              "           -4.87166690e-03,  2.45198980e-03, -3.42866592e-03],\n",
              "          [-6.12380216e-03,  8.87359586e-03, -3.45014478e-03, ...,\n",
              "           -1.09723555e-02,  2.66773975e-03, -4.79325093e-03]],\n",
              " \n",
              "         [[-6.14633691e-03,  1.40388934e-02, -9.19489283e-03, ...,\n",
              "            1.60656814e-02,  8.88941437e-03,  6.56510517e-03],\n",
              "          [-5.72578516e-03, -3.33702704e-03, -8.64025764e-03, ...,\n",
              "            1.98416272e-03,  7.86264334e-03,  2.50778953e-03],\n",
              "          [-3.77366156e-03,  9.24240507e-04,  7.29091058e-04, ...,\n",
              "           -4.96890210e-03,  3.85057204e-03, -7.15580711e-04],\n",
              "          ...,\n",
              "          [-1.22111076e-02, -2.42003356e-03, -4.81141545e-03, ...,\n",
              "           -4.22020489e-03, -1.01946108e-02, -5.80721162e-03],\n",
              "          [-9.04400460e-03,  1.94370467e-03,  7.34009594e-03, ...,\n",
              "           -5.14973374e-03,  3.66879918e-04, -5.37241250e-03],\n",
              "          [-3.53684562e-04,  1.53788179e-02, -8.76262202e-04, ...,\n",
              "           -7.13666994e-03, -4.27656015e-03, -1.42133404e-02]],\n",
              " \n",
              "         [[-6.67408668e-03,  9.11168288e-03, -9.18486901e-03, ...,\n",
              "            1.21346870e-02,  8.51947255e-03,  7.15135690e-03],\n",
              "          [-1.64910071e-02, -2.04550894e-03, -7.30760070e-03, ...,\n",
              "           -2.89353775e-03,  1.16095145e-03, -6.60440046e-03],\n",
              "          [-7.68517129e-05,  4.32093628e-03, -6.93119306e-04, ...,\n",
              "           -3.48316878e-03, -1.47545757e-03, -2.85687298e-03],\n",
              "          ...,\n",
              "          [-4.66702832e-03, -1.39780261e-03,  3.67210196e-05, ...,\n",
              "           -4.95146902e-04,  7.23151665e-04, -6.29519764e-03],\n",
              "          [ 3.63699184e-03, -4.63909749e-03,  5.31478412e-03, ...,\n",
              "           -1.50180201e-03, -7.48660788e-03, -1.94359326e-03],\n",
              "          [-1.03440508e-03,  1.57131702e-02, -1.98940560e-03, ...,\n",
              "           -5.38550608e-04, -5.37431426e-03, -9.20103770e-03]]]],\n",
              "       dtype=float32)>,\n",
              " <tf.Variable 'block5_conv3_2/bias:0' shape=(512,) dtype=float32, numpy=\n",
              " array([ 1.88378572e-01, -5.00367463e-01,  5.42223394e-01,  2.46460959e-01,\n",
              "         1.54070303e-01, -2.36067176e-01, -1.17649809e-02,  3.57512347e-02,\n",
              "         7.58338273e-02,  1.63476378e-01, -1.34778112e-01, -8.40371996e-02,\n",
              "         2.50966042e-01, -1.67475253e-01, -2.82782689e-02,  4.04935628e-01,\n",
              "         4.92739901e-02,  3.43014568e-01, -2.48226017e-01, -8.52851495e-02,\n",
              "         1.14871934e-01, -8.34204536e-03, -7.97333941e-02,  2.08946794e-01,\n",
              "         2.29255453e-01, -3.57115209e-01,  3.54569256e-01,  4.94823381e-02,\n",
              "         2.67764390e-01,  1.16772160e-01,  2.48077109e-01,  1.90769851e-01,\n",
              "         2.27198079e-01,  2.07326874e-01,  4.33389664e-01, -2.14167282e-01,\n",
              "         4.27582026e-01,  2.85164490e-02, -1.01103269e-01, -1.16591506e-01,\n",
              "         1.57484300e-02, -1.92446187e-01,  5.09383738e-01, -1.01140939e-01,\n",
              "        -1.70503020e-01,  1.82109758e-01,  6.56641722e-02,  1.48948044e-01,\n",
              "        -3.34800705e-02,  2.34267697e-01,  1.17521681e-01, -1.11647561e-01,\n",
              "         1.67274535e-01, -2.18229502e-01, -1.26343705e-02,  6.51194036e-01,\n",
              "         4.33828384e-01,  5.46606928e-02,  2.51551688e-01,  2.21985489e-01,\n",
              "         2.07218826e-02, -2.58966297e-01,  1.32507131e-01,  1.47451892e-01,\n",
              "        -1.49491996e-01, -2.45121513e-02, -1.93051482e-03,  3.55903581e-02,\n",
              "        -2.87072897e-01,  2.04153866e-01,  5.73086739e-02,  1.29463181e-01,\n",
              "         1.23248003e-01, -1.90378204e-01, -5.25708608e-02, -8.20820853e-02,\n",
              "         7.67999232e-01,  2.17065111e-01,  4.36754115e-02, -6.61685169e-02,\n",
              "         1.55227348e-01,  6.22618794e-01,  1.98174551e-01,  1.35126531e-01,\n",
              "         1.28762200e-01, -4.85090315e-02,  4.69657898e-01,  4.86439429e-02,\n",
              "         3.53257835e-01,  5.42547941e-01, -2.09446177e-01,  1.35347247e-01,\n",
              "         1.24633104e-01,  2.24511325e-01, -1.93987757e-01, -1.69384852e-02,\n",
              "         6.01346325e-03,  2.04649493e-01, -3.49047594e-02,  3.08254182e-01,\n",
              "         2.74999171e-01,  6.06408417e-01,  1.30885825e-01, -7.84191936e-02,\n",
              "         2.30702013e-01,  6.21092655e-02,  1.07052080e-01, -2.47026488e-01,\n",
              "         3.11956823e-01,  2.79106498e-01,  2.18370885e-01,  1.03057109e-01,\n",
              "         5.74263111e-02,  1.94899786e+00, -9.07675177e-02,  7.99698196e-03,\n",
              "         1.57724932e-01,  6.45613790e-01,  1.95434928e-01,  6.70031726e-01,\n",
              "        -1.17897667e-01,  2.08516628e-01,  1.35548666e-01,  5.05479157e-01,\n",
              "         2.27726430e-01, -2.85992660e-02,  7.31752664e-02,  2.16317698e-01,\n",
              "         1.04756050e-01,  7.34472694e-03, -9.85700116e-02, -2.09823661e-02,\n",
              "        -1.19556062e-01,  4.82213408e-01,  2.29107309e-02,  7.89495856e-02,\n",
              "         1.66905075e-01,  2.03251719e-01,  2.19120562e-01,  3.17676008e-01,\n",
              "         2.38415692e-03,  4.65317338e-04,  5.53632751e-02,  2.63843596e-01,\n",
              "        -2.68867999e-01, -6.39354065e-02,  3.14108700e-01, -1.04466088e-01,\n",
              "         2.15531588e-01,  2.69292265e-01,  6.31085504e-03,  2.11812276e-02,\n",
              "         3.03376783e-02,  1.34254768e-01,  1.78778559e-01,  9.43155289e+00,\n",
              "         2.75686860e-01,  1.31738886e-01,  1.86976731e-01,  8.58496577e-02,\n",
              "         1.49559855e-01, -2.00136185e-01, -3.02753776e-01,  6.99055195e-01,\n",
              "         1.03292175e-01,  5.93839027e-02,  6.86080813e-01, -1.75999016e-01,\n",
              "         1.97002128e-01,  2.17421085e-01,  1.00237295e-01,  2.00453222e-01,\n",
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              "         3.38773549e-01, -1.19772919e-01,  7.56180510e-02,  2.71076292e-01,\n",
              "         1.29012525e-01,  1.41996786e-01,  3.30376983e-01,  2.09672466e-01,\n",
              "         2.74694502e-01,  1.87327504e-01,  2.14084148e-01,  1.21977694e-01,\n",
              "         5.93084395e-01,  2.13688929e-02,  8.09027970e-01,  3.09404194e-01,\n",
              "         3.44152540e-01,  1.66218415e-01,  1.36155128e-01,  2.33373582e-01,\n",
              "         8.00405815e-03,  1.03328384e-01,  6.38187110e-01, -2.65396535e-02],\n",
              "       dtype=float32)>,\n",
              " <tf.Variable 'dense_7/kernel:0' shape=(32768, 4096) dtype=float32, numpy=\n",
              " array([[-0.00448098, -0.00693884, -0.00649416, ..., -0.00843396,\n",
              "         -0.00934412,  0.00435201],\n",
              "        [ 0.0015782 ,  0.01025853,  0.01179484, ...,  0.00494496,\n",
              "         -0.00728564, -0.00696363],\n",
              "        [-0.00541775,  0.00325444, -0.00616755, ...,  0.00645895,\n",
              "         -0.00616287,  0.00047008],\n",
              "        ...,\n",
              "        [ 0.00138612,  0.00074314,  0.00519004, ...,  0.00830726,\n",
              "          0.00457382, -0.01060379],\n",
              "        [ 0.01036168,  0.00041866,  0.00835518, ...,  0.00612734,\n",
              "         -0.0109433 , -0.00128422],\n",
              "        [-0.01148424, -0.00061899,  0.00664903, ..., -0.01172054,\n",
              "          0.00727496,  0.00185564]], dtype=float32)>,\n",
              " <tf.Variable 'dense_7/bias:0' shape=(4096,) dtype=float32, numpy=array([0., 0., 0., ..., 0., 0., 0.], dtype=float32)>,\n",
              " <tf.Variable 'dense_8/kernel:0' shape=(4096, 4096) dtype=float32, numpy=\n",
              " array([[ 0.00015022, -0.01892552,  0.00322294, ...,  0.00388552,\n",
              "         -0.00157828,  0.000814  ],\n",
              "        [ 0.02649138,  0.02613743,  0.0160207 , ...,  0.02174442,\n",
              "         -0.00350402, -0.01392427],\n",
              "        [-0.0198263 ,  0.01333429, -0.02629154, ..., -0.00818314,\n",
              "         -0.01220974,  0.00201494],\n",
              "        ...,\n",
              "        [-0.00461924, -0.01344034, -0.01250508, ...,  0.00842665,\n",
              "         -0.01082898, -0.01770122],\n",
              "        [-0.00768051, -0.02686375,  0.01139812, ..., -0.02141161,\n",
              "         -0.01319317, -0.00301063],\n",
              "        [-0.00909728, -0.0046207 , -0.00696442, ..., -0.00245126,\n",
              "          0.01657654, -0.0008695 ]], dtype=float32)>,\n",
              " <tf.Variable 'dense_8/bias:0' shape=(4096,) dtype=float32, numpy=array([0., 0., 0., ..., 0., 0., 0.], dtype=float32)>,\n",
              " <tf.Variable 'dense_9/kernel:0' shape=(4096, 20) dtype=float32, numpy=\n",
              " array([[ 0.01327277, -0.02135916, -0.00691995, ..., -0.0052129 ,\n",
              "          0.02438219, -0.02115906],\n",
              "        [-0.03727341,  0.02704866,  0.03251911, ..., -0.01064199,\n",
              "         -0.01674403,  0.029585  ],\n",
              "        [ 0.02223237, -0.01194673, -0.00155236, ...,  0.03378787,\n",
              "          0.01308358, -0.02768534],\n",
              "        ...,\n",
              "        [ 0.00645699, -0.00920945,  0.02262153, ...,  0.02965281,\n",
              "         -0.03252949,  0.02384349],\n",
              "        [-0.03430144,  0.0138628 , -0.02983862, ..., -0.03114776,\n",
              "         -0.02619056, -0.03752672],\n",
              "        [ 0.01880018,  0.01914551, -0.02125853, ..., -0.03308248,\n",
              "         -0.02826779,  0.02100347]], dtype=float32)>,\n",
              " <tf.Variable 'dense_9/bias:0' shape=(20,) dtype=float32, numpy=\n",
              " array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
              "        0., 0., 0.], dtype=float32)>]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 36
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "at-NNUYsOySC",
        "colab_type": "text"
      },
      "source": [
        "##**Prepare the model for Training** "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XN0X9eKMO7ku",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Optimization params\n",
        "# -------------------\n",
        "\n",
        "# Loss\n",
        "loss = tf.keras.losses.CategoricalCrossentropy()\n",
        "\n",
        "# learning rate\n",
        "lr = 1e-3\n",
        "optimizer = tf.keras.optimizers.Adam(learning_rate=lr)\n",
        "# -------------------\n",
        "\n",
        "# Validation metrics\n",
        "# ------------------\n",
        "\n",
        "metrics = ['accuracy']\n",
        "# ------------------\n",
        "\n",
        "# Compile Model\n",
        "model.compile(optimizer=optimizer, loss=loss, metrics=metrics)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mCHJB1TDPBRQ",
        "colab_type": "text"
      },
      "source": [
        "##**Training with Callbacks**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4vyXn4VsPFhs",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "a2957211-aa95-4571-dd4c-9ecd64be0e24"
      },
      "source": [
        "import os\n",
        "from datetime import datetime\n",
        "\n",
        "# from tensorflow.compat.v1 import ConfigProto\n",
        "# from tensorflow.compat.v1 import InteractiveSession\n",
        "\n",
        "# config = ConfigProto()\n",
        "# config.gpu_options.allow_growth = True\n",
        "# session = InteractiveSession(config=config)\n",
        "\n",
        "cwd = os.getcwd()\n",
        "\n",
        "exps_dir = os.path.join(cwd, 'transfer_learning_experiments')\n",
        "if not os.path.exists(exps_dir):\n",
        "    os.makedirs(exps_dir)\n",
        "\n",
        "now = datetime.now().strftime('%b%d_%H-%M-%S')\n",
        "\n",
        "model_name = 'CNN'\n",
        "\n",
        "exp_dir = os.path.join(exps_dir, model_name + '_' + str(now))\n",
        "if not os.path.exists(exp_dir):\n",
        "    os.makedirs(exp_dir)\n",
        "    \n",
        "callbacks = []\n",
        "\n",
        "# Model checkpoint\n",
        "# ----------------\n",
        "ckpt_dir = os.path.join(exp_dir, 'ckpts')\n",
        "if not os.path.exists(ckpt_dir):\n",
        "    os.makedirs(ckpt_dir)\n",
        "\n",
        "ckpt_callback = tf.keras.callbacks.ModelCheckpoint(filepath=os.path.join(ckpt_dir, 'cp_{epoch:02d}.ckpt'), \n",
        "                                                   save_weights_only=True)  # False to save the model directly\n",
        "callbacks.append(ckpt_callback)\n",
        "\n",
        "# Visualize Learning on Tensorboard\n",
        "# ---------------------------------\n",
        "tb_dir = os.path.join(exp_dir, 'tb_logs')\n",
        "if not os.path.exists(tb_dir):\n",
        "    os.makedirs(tb_dir)\n",
        "    \n",
        "# By default shows losses and metrics for both training and validation\n",
        "tb_callback = tf.keras.callbacks.TensorBoard(log_dir=tb_dir,\n",
        "                                             profile_batch=0,\n",
        "                                             histogram_freq=1)  # if 1 shows weights histograms\n",
        "callbacks.append(tb_callback)\n",
        "\n",
        "# Early Stopping\n",
        "# --------------\n",
        "early_stop = False\n",
        "if early_stop:\n",
        "    es_callback = tf.keras.callback.EarlyStopping(monitor='val_loss', patience=10)\n",
        "    callbacks.append(es_callback)\n",
        "\n",
        "\n",
        "model.fit(x=train_dataset,\n",
        "          epochs=100,  #### set repeat in training dataset\n",
        "          steps_per_epoch=len(train_gen),\n",
        "          validation_data=valid_dataset,\n",
        "          validation_steps=len(valid_gen), \n",
        "          callbacks=callbacks)"
      ],
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Train for 20 steps, validate for 5 steps\n",
            "Epoch 1/100\n",
            "20/20 [==============================] - 49s 2s/step - loss: 15.1687 - accuracy: 0.1026 - val_loss: 2.6041 - val_accuracy: 0.1889\n",
            "Epoch 2/100\n",
            "20/20 [==============================] - 48s 2s/step - loss: 1.7163 - accuracy: 0.4507 - val_loss: 1.3074 - val_accuracy: 0.5505\n",
            "Epoch 3/100\n",
            "20/20 [==============================] - 48s 2s/step - loss: 0.9223 - accuracy: 0.7081 - val_loss: 0.9150 - val_accuracy: 0.6971\n",
            "Epoch 4/100\n",
            "20/20 [==============================] - 48s 2s/step - loss: 0.6981 - accuracy: 0.7739 - val_loss: 0.9782 - val_accuracy: 0.6678\n",
            "Epoch 5/100\n",
            "20/20 [==============================] - 48s 2s/step - loss: 0.5178 - accuracy: 0.8284 - val_loss: 0.9283 - val_accuracy: 0.7199\n",
            "Epoch 6/100\n",
            "20/20 [==============================] - 48s 2s/step - loss: 0.4520 - accuracy: 0.8581 - val_loss: 0.9590 - val_accuracy: 0.7101\n",
            "Epoch 7/100\n",
            "20/20 [==============================] - 48s 2s/step - loss: 0.3945 - accuracy: 0.8765 - val_loss: 0.7505 - val_accuracy: 0.7915\n",
            "Epoch 8/100\n",
            "20/20 [==============================] - 48s 2s/step - loss: 0.2957 - accuracy: 0.9030 - val_loss: 0.7871 - val_accuracy: 0.7720\n",
            "Epoch 9/100\n",
            "20/20 [==============================] - 48s 2s/step - loss: 0.3271 - accuracy: 0.8933 - val_loss: 0.9738 - val_accuracy: 0.7590\n",
            "Epoch 10/100\n",
            "20/20 [==============================] - 48s 2s/step - loss: 0.3027 - accuracy: 0.8990 - val_loss: 0.8599 - val_accuracy: 0.7655\n",
            "Epoch 11/100\n",
            "20/20 [==============================] - 48s 2s/step - loss: 0.2614 - accuracy: 0.9118 - val_loss: 0.8994 - val_accuracy: 0.7687\n",
            "Epoch 12/100\n",
            "20/20 [==============================] - 48s 2s/step - loss: 0.2228 - accuracy: 0.9294 - val_loss: 0.7676 - val_accuracy: 0.8013\n",
            "Epoch 13/100\n",
            "20/20 [==============================] - 48s 2s/step - loss: 0.2188 - accuracy: 0.9278 - val_loss: 0.8533 - val_accuracy: 0.7883\n",
            "Epoch 14/100\n",
            "20/20 [==============================] - 48s 2s/step - loss: 0.2937 - accuracy: 0.9014 - val_loss: 0.7892 - val_accuracy: 0.7752\n",
            "Epoch 15/100\n",
            "20/20 [==============================] - 48s 2s/step - loss: 0.2555 - accuracy: 0.9126 - val_loss: 0.8348 - val_accuracy: 0.8078\n",
            "Epoch 16/100\n",
            "20/20 [==============================] - 48s 2s/step - loss: 0.1156 - accuracy: 0.9575 - val_loss: 0.8171 - val_accuracy: 0.7883\n",
            "Epoch 17/100\n",
            "20/20 [==============================] - 48s 2s/step - loss: 0.1725 - accuracy: 0.9455 - val_loss: 0.7282 - val_accuracy: 0.7850\n",
            "Epoch 18/100\n",
            "20/20 [==============================] - 47s 2s/step - loss: 0.1530 - accuracy: 0.9479 - val_loss: 1.0201 - val_accuracy: 0.7655\n",
            "Epoch 19/100\n",
            "20/20 [==============================] - 47s 2s/step - loss: 0.2364 - accuracy: 0.9198 - val_loss: 0.7732 - val_accuracy: 0.7980\n",
            "Epoch 20/100\n",
            "20/20 [==============================] - 48s 2s/step - loss: 0.1393 - accuracy: 0.9487 - val_loss: 0.8605 - val_accuracy: 0.8046\n",
            "Epoch 21/100\n",
            "20/20 [==============================] - 47s 2s/step - loss: 0.1270 - accuracy: 0.9527 - val_loss: 0.9772 - val_accuracy: 0.7752\n",
            "Epoch 22/100\n",
            "20/20 [==============================] - 47s 2s/step - loss: 0.1189 - accuracy: 0.9575 - val_loss: 0.8285 - val_accuracy: 0.7720\n",
            "Epoch 23/100\n",
            "20/20 [==============================] - 47s 2s/step - loss: 0.0993 - accuracy: 0.9655 - val_loss: 1.0087 - val_accuracy: 0.7850\n",
            "Epoch 24/100\n",
            "20/20 [==============================] - 47s 2s/step - loss: 0.0952 - accuracy: 0.9679 - val_loss: 0.8363 - val_accuracy: 0.8241\n",
            "Epoch 25/100\n",
            "20/20 [==============================] - 47s 2s/step - loss: 0.0802 - accuracy: 0.9711 - val_loss: 0.8581 - val_accuracy: 0.7785\n",
            "Epoch 26/100\n",
            "20/20 [==============================] - 47s 2s/step - loss: 0.0763 - accuracy: 0.9727 - val_loss: 0.7977 - val_accuracy: 0.8046\n",
            "Epoch 27/100\n",
            "20/20 [==============================] - 47s 2s/step - loss: 0.0970 - accuracy: 0.9663 - val_loss: 0.8351 - val_accuracy: 0.8176\n",
            "Epoch 28/100\n",
            "20/20 [==============================] - 47s 2s/step - loss: 0.1678 - accuracy: 0.9519 - val_loss: 0.8379 - val_accuracy: 0.7948\n",
            "Epoch 29/100\n",
            "20/20 [==============================] - 47s 2s/step - loss: 0.1419 - accuracy: 0.9487 - val_loss: 1.1248 - val_accuracy: 0.7622\n",
            "Epoch 30/100\n",
            "20/20 [==============================] - 47s 2s/step - loss: 0.1030 - accuracy: 0.9599 - val_loss: 0.8432 - val_accuracy: 0.8046\n",
            "Epoch 31/100\n",
            "20/20 [==============================] - 47s 2s/step - loss: 0.0866 - accuracy: 0.9735 - val_loss: 0.9247 - val_accuracy: 0.8046\n",
            "Epoch 32/100\n",
            "20/20 [==============================] - 47s 2s/step - loss: 0.0716 - accuracy: 0.9719 - val_loss: 0.8995 - val_accuracy: 0.7915\n",
            "Epoch 33/100\n",
            "20/20 [==============================] - 47s 2s/step - loss: 0.0498 - accuracy: 0.9832 - val_loss: 0.7973 - val_accuracy: 0.8143\n",
            "Epoch 34/100\n",
            "20/20 [==============================] - 47s 2s/step - loss: 0.1288 - accuracy: 0.9607 - val_loss: 1.1426 - val_accuracy: 0.7622\n",
            "Epoch 35/100\n",
            "20/20 [==============================] - 47s 2s/step - loss: 0.1274 - accuracy: 0.9575 - val_loss: 1.0194 - val_accuracy: 0.7752\n",
            "Epoch 36/100\n",
            "20/20 [==============================] - 47s 2s/step - loss: 0.0991 - accuracy: 0.9703 - val_loss: 0.9709 - val_accuracy: 0.7883\n",
            "Epoch 37/100\n",
            "20/20 [==============================] - 47s 2s/step - loss: 0.1193 - accuracy: 0.9567 - val_loss: 1.0821 - val_accuracy: 0.7785\n",
            "Epoch 38/100\n",
            "20/20 [==============================] - 49s 2s/step - loss: 0.1281 - accuracy: 0.9615 - val_loss: 0.9772 - val_accuracy: 0.7915\n",
            "Epoch 39/100\n",
            "20/20 [==============================] - 47s 2s/step - loss: 0.1146 - accuracy: 0.9623 - val_loss: 0.8012 - val_accuracy: 0.8306\n",
            "Epoch 40/100\n",
            "20/20 [==============================] - 47s 2s/step - loss: 0.1267 - accuracy: 0.9567 - val_loss: 1.5542 - val_accuracy: 0.7068\n",
            "Epoch 41/100\n",
            "20/20 [==============================] - 47s 2s/step - loss: 0.1784 - accuracy: 0.9495 - val_loss: 1.0183 - val_accuracy: 0.8013\n",
            "Epoch 42/100\n",
            "20/20 [==============================] - 47s 2s/step - loss: 0.1786 - accuracy: 0.9511 - val_loss: 1.0449 - val_accuracy: 0.7752\n",
            "Epoch 43/100\n",
            "20/20 [==============================] - 47s 2s/step - loss: 0.1132 - accuracy: 0.9655 - val_loss: 0.9644 - val_accuracy: 0.8208\n",
            "Epoch 44/100\n",
            "20/20 [==============================] - 47s 2s/step - loss: 0.1718 - accuracy: 0.9503 - val_loss: 0.7629 - val_accuracy: 0.8404\n",
            "Epoch 45/100\n",
            "20/20 [==============================] - 47s 2s/step - loss: 0.0640 - accuracy: 0.9775 - val_loss: 0.6986 - val_accuracy: 0.8111\n",
            "Epoch 46/100\n",
            "20/20 [==============================] - 47s 2s/step - loss: 0.0417 - accuracy: 0.9904 - val_loss: 0.8876 - val_accuracy: 0.8208\n",
            "Epoch 47/100\n",
            "20/20 [==============================] - 47s 2s/step - loss: 0.0718 - accuracy: 0.9783 - val_loss: 0.9111 - val_accuracy: 0.8274\n",
            "Epoch 48/100\n",
            "20/20 [==============================] - 47s 2s/step - loss: 0.0695 - accuracy: 0.9824 - val_loss: 1.5114 - val_accuracy: 0.7329\n",
            "Epoch 49/100\n",
            "20/20 [==============================] - 47s 2s/step - loss: 0.0690 - accuracy: 0.9751 - val_loss: 0.9815 - val_accuracy: 0.8176\n",
            "Epoch 50/100\n",
            "20/20 [==============================] - 47s 2s/step - loss: 0.0804 - accuracy: 0.9775 - val_loss: 0.9794 - val_accuracy: 0.8078\n",
            "Epoch 51/100\n",
            "20/20 [==============================] - 47s 2s/step - loss: 0.0632 - accuracy: 0.9791 - val_loss: 1.0164 - val_accuracy: 0.8241\n",
            "Epoch 52/100\n",
            "20/20 [==============================] - 47s 2s/step - loss: 0.0822 - accuracy: 0.9808 - val_loss: 1.1503 - val_accuracy: 0.7948\n",
            "Epoch 53/100\n",
            "20/20 [==============================] - 47s 2s/step - loss: 0.0590 - accuracy: 0.9824 - val_loss: 1.2498 - val_accuracy: 0.7720\n",
            "Epoch 54/100\n",
            "20/20 [==============================] - 47s 2s/step - loss: 0.0912 - accuracy: 0.9687 - val_loss: 1.0828 - val_accuracy: 0.7948\n",
            "Epoch 55/100\n",
            "20/20 [==============================] - 47s 2s/step - loss: 0.0479 - accuracy: 0.9848 - val_loss: 1.0249 - val_accuracy: 0.8111\n",
            "Epoch 56/100\n",
            "20/20 [==============================] - 47s 2s/step - loss: 0.0527 - accuracy: 0.9791 - val_loss: 0.8827 - val_accuracy: 0.8176\n",
            "Epoch 57/100\n",
            "20/20 [==============================] - 47s 2s/step - loss: 0.0305 - accuracy: 0.9912 - val_loss: 0.9252 - val_accuracy: 0.8241\n",
            "Epoch 58/100\n",
            "20/20 [==============================] - 47s 2s/step - loss: 0.0436 - accuracy: 0.9880 - val_loss: 0.7722 - val_accuracy: 0.8469\n",
            "Epoch 59/100\n",
            "20/20 [==============================] - 48s 2s/step - loss: 0.0817 - accuracy: 0.9679 - val_loss: 0.7896 - val_accuracy: 0.8371\n",
            "Epoch 60/100\n",
            "20/20 [==============================] - 48s 2s/step - loss: 0.0765 - accuracy: 0.9783 - val_loss: 0.9906 - val_accuracy: 0.7980\n",
            "Epoch 61/100\n",
            "20/20 [==============================] - 48s 2s/step - loss: 0.0445 - accuracy: 0.9864 - val_loss: 0.8456 - val_accuracy: 0.8208\n",
            "Epoch 62/100\n",
            "20/20 [==============================] - 48s 2s/step - loss: 0.0243 - accuracy: 0.9920 - val_loss: 0.8680 - val_accuracy: 0.8208\n",
            "Epoch 63/100\n",
            "20/20 [==============================] - 48s 2s/step - loss: 0.0227 - accuracy: 0.9904 - val_loss: 0.9693 - val_accuracy: 0.8697\n",
            "Epoch 64/100\n",
            "20/20 [==============================] - 48s 2s/step - loss: 0.0377 - accuracy: 0.9848 - val_loss: 1.3405 - val_accuracy: 0.8013\n",
            "Epoch 65/100\n",
            "20/20 [==============================] - 48s 2s/step - loss: 0.0355 - accuracy: 0.9872 - val_loss: 1.0509 - val_accuracy: 0.8078\n",
            "Epoch 66/100\n",
            "20/20 [==============================] - 48s 2s/step - loss: 0.0585 - accuracy: 0.9840 - val_loss: 1.0222 - val_accuracy: 0.8208\n",
            "Epoch 67/100\n",
            "20/20 [==============================] - 48s 2s/step - loss: 0.0612 - accuracy: 0.9743 - val_loss: 1.0481 - val_accuracy: 0.8241\n",
            "Epoch 68/100\n",
            "20/20 [==============================] - 48s 2s/step - loss: 0.0552 - accuracy: 0.9791 - val_loss: 1.1244 - val_accuracy: 0.7883\n",
            "Epoch 69/100\n",
            "20/20 [==============================] - 48s 2s/step - loss: 0.0474 - accuracy: 0.9848 - val_loss: 1.2754 - val_accuracy: 0.7818\n",
            "Epoch 70/100\n",
            "20/20 [==============================] - 48s 2s/step - loss: 0.0881 - accuracy: 0.9727 - val_loss: 1.2653 - val_accuracy: 0.7850\n",
            "Epoch 71/100\n",
            "20/20 [==============================] - 48s 2s/step - loss: 0.0715 - accuracy: 0.9767 - val_loss: 0.8904 - val_accuracy: 0.8274\n",
            "Epoch 72/100\n",
            "20/20 [==============================] - 49s 2s/step - loss: 0.0547 - accuracy: 0.9832 - val_loss: 1.0058 - val_accuracy: 0.7883\n",
            "Epoch 73/100\n",
            "20/20 [==============================] - 49s 2s/step - loss: 0.0524 - accuracy: 0.9800 - val_loss: 0.8648 - val_accuracy: 0.8339\n",
            "Epoch 74/100\n",
            "20/20 [==============================] - 48s 2s/step - loss: 0.0460 - accuracy: 0.9840 - val_loss: 1.1048 - val_accuracy: 0.8046\n",
            "Epoch 75/100\n",
            "20/20 [==============================] - 49s 2s/step - loss: 0.0450 - accuracy: 0.9824 - val_loss: 1.0912 - val_accuracy: 0.7883\n",
            "Epoch 76/100\n",
            "20/20 [==============================] - 49s 2s/step - loss: 0.0589 - accuracy: 0.9824 - val_loss: 1.3544 - val_accuracy: 0.7687\n",
            "Epoch 77/100\n",
            "20/20 [==============================] - 48s 2s/step - loss: 0.1138 - accuracy: 0.9687 - val_loss: 0.9313 - val_accuracy: 0.8208\n",
            "Epoch 78/100\n",
            "20/20 [==============================] - 49s 2s/step - loss: 0.2420 - accuracy: 0.9407 - val_loss: 1.2938 - val_accuracy: 0.7687\n",
            "Epoch 79/100\n",
            "20/20 [==============================] - 49s 2s/step - loss: 0.1205 - accuracy: 0.9607 - val_loss: 0.8438 - val_accuracy: 0.8208\n",
            "Epoch 80/100\n",
            "20/20 [==============================] - 49s 2s/step - loss: 0.0507 - accuracy: 0.9824 - val_loss: 1.0298 - val_accuracy: 0.8046\n",
            "Epoch 81/100\n",
            "20/20 [==============================] - 48s 2s/step - loss: 0.0552 - accuracy: 0.9783 - val_loss: 0.9052 - val_accuracy: 0.8306\n",
            "Epoch 82/100\n",
            "20/20 [==============================] - 48s 2s/step - loss: 0.0703 - accuracy: 0.9743 - val_loss: 1.1493 - val_accuracy: 0.7818\n",
            "Epoch 83/100\n",
            "20/20 [==============================] - 49s 2s/step - loss: 0.0831 - accuracy: 0.9727 - val_loss: 1.0877 - val_accuracy: 0.7785\n",
            "Epoch 84/100\n",
            "20/20 [==============================] - 49s 2s/step - loss: 0.0341 - accuracy: 0.9848 - val_loss: 1.0685 - val_accuracy: 0.7915\n",
            "Epoch 85/100\n",
            "20/20 [==============================] - 49s 2s/step - loss: 0.0399 - accuracy: 0.9880 - val_loss: 0.9389 - val_accuracy: 0.8274\n",
            "Epoch 86/100\n",
            "20/20 [==============================] - 49s 2s/step - loss: 0.0636 - accuracy: 0.9824 - val_loss: 1.2571 - val_accuracy: 0.7622\n",
            "Epoch 87/100\n",
            "20/20 [==============================] - 48s 2s/step - loss: 0.0887 - accuracy: 0.9727 - val_loss: 1.2134 - val_accuracy: 0.8013\n",
            "Epoch 88/100\n",
            "20/20 [==============================] - 48s 2s/step - loss: 0.0806 - accuracy: 0.9695 - val_loss: 1.1521 - val_accuracy: 0.8078\n",
            "Epoch 89/100\n",
            "20/20 [==============================] - 48s 2s/step - loss: 0.0559 - accuracy: 0.9848 - val_loss: 1.1901 - val_accuracy: 0.8078\n",
            "Epoch 90/100\n",
            "20/20 [==============================] - 48s 2s/step - loss: 0.0291 - accuracy: 0.9920 - val_loss: 1.1059 - val_accuracy: 0.8274\n",
            "Epoch 91/100\n",
            "20/20 [==============================] - 48s 2s/step - loss: 0.0252 - accuracy: 0.9928 - val_loss: 1.0518 - val_accuracy: 0.8078\n",
            "Epoch 92/100\n",
            "20/20 [==============================] - 48s 2s/step - loss: 0.0318 - accuracy: 0.9920 - val_loss: 1.3583 - val_accuracy: 0.8046\n",
            "Epoch 93/100\n",
            "20/20 [==============================] - 48s 2s/step - loss: 0.0727 - accuracy: 0.9824 - val_loss: 1.0835 - val_accuracy: 0.8078\n",
            "Epoch 94/100\n",
            "20/20 [==============================] - 48s 2s/step - loss: 0.0498 - accuracy: 0.9848 - val_loss: 1.0944 - val_accuracy: 0.8078\n",
            "Epoch 95/100\n",
            "20/20 [==============================] - 48s 2s/step - loss: 0.0694 - accuracy: 0.9775 - val_loss: 0.7650 - val_accuracy: 0.8241\n",
            "Epoch 96/100\n",
            "20/20 [==============================] - 48s 2s/step - loss: 0.0516 - accuracy: 0.9840 - val_loss: 1.0361 - val_accuracy: 0.8046\n",
            "Epoch 97/100\n",
            "20/20 [==============================] - 48s 2s/step - loss: 0.0486 - accuracy: 0.9848 - val_loss: 1.1420 - val_accuracy: 0.7980\n",
            "Epoch 98/100\n",
            "20/20 [==============================] - 48s 2s/step - loss: 0.0766 - accuracy: 0.9816 - val_loss: 1.2483 - val_accuracy: 0.7687\n",
            "Epoch 99/100\n",
            "20/20 [==============================] - 48s 2s/step - loss: 0.0746 - accuracy: 0.9800 - val_loss: 0.8869 - val_accuracy: 0.8078\n",
            "Epoch 100/100\n",
            "20/20 [==============================] - 48s 2s/step - loss: 0.0245 - accuracy: 0.9920 - val_loss: 0.8821 - val_accuracy: 0.8502\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<tensorflow.python.keras.callbacks.History at 0x7fadc23af9b0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 38
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "OF3-c29aQ8DF",
        "colab_type": "text"
      },
      "source": [
        "#**Output of the Solution**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Im8hWuFaraQc",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def create_csv(results, results_dir='./'):\n",
        "\n",
        "    csv_fname = 'results_'\n",
        "    csv_fname += datetime.now().strftime('%b%d_%H-%M-%S') + '.csv'\n",
        "\n",
        "    with open(os.path.join(results_dir, csv_fname), 'w') as f:\n",
        "\n",
        "        f.write('Id,Category\\n')\n",
        "\n",
        "        for key, value in results.items():\n",
        "            f.write(key + ',' + str(value) + '\\n')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "eGD_H9rEurc7",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from PIL import Image\n",
        "from skimage import transform\n",
        "test_dir = os.path.join(dataset_dir, 'test')\n",
        "\n",
        "image_filenames = next(os.walk(test_dir))[2]\n",
        "\n",
        "results = {}\n",
        "for image_name in image_filenames:\n",
        "  #print(image_name)\n",
        "  image_dir = os.path.join(test_dir,image_name)\n",
        "  img = Image.open(image_dir).convert('RGB')\n",
        "  img_array = np.array(img)\n",
        "  img_array = np.array(img_array).astype('float32')/255.\n",
        "  img_array = transform.resize(img_array, (256, 256, 3))\n",
        "  img_array = np.expand_dims(img_array, 0)\n",
        "  pred = model.predict(img_array)\n",
        "  prediction = np.argmax(model.predict(img_array))   # predicted class\n",
        "  results[image_name] = prediction\n",
        "\n",
        "create_csv(results)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9sd1qFETUOeN",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 72
        },
        "outputId": "d5c0280d-8181-44fa-8482-495559a783db"
      },
      "source": [
        "!ls"
      ],
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Classification_Dataset\t    sample_data\n",
            "Classification_Dataset.zip  transfer_learning_experiments\n",
            "results_Nov27_22-16-31.csv\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "FGqbPMe5UM9c",
        "colab": {}
      },
      "source": [
        "files.download('results_Nov27_22-16-31.csv')"
      ],
      "execution_count": 0,
      "outputs": []
    }
  ]
}