5.6 深度卷积神经网络（AlexNet）.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2.0.0\n"
     ]
    }
   ],
   "source": [
    "import tensorflow as tf\n",
    "\n",
    "print(tf.__version__)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "for gpu in tf.config.experimental.list_physical_devices('GPU'):\n",
    "    tf.config.experimental.set_memory_growth(gpu, True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 定义网络\n",
    "net = tf.keras.models.Sequential([\n",
    "    tf.keras.layers.Conv2D(filters=96,kernel_size=11,strides=4,activation='relu'),\n",
    "    tf.keras.layers.MaxPool2D(pool_size=3, strides=2),\n",
    "    tf.keras.layers.Conv2D(filters=256,kernel_size=5,padding='same',activation='relu'),\n",
    "    tf.keras.layers.MaxPool2D(pool_size=3, strides=2),\n",
    "    tf.keras.layers.Conv2D(filters=384,kernel_size=3,padding='same',activation='relu'),\n",
    "    tf.keras.layers.Conv2D(filters=384,kernel_size=3,padding='same',activation='relu'),\n",
    "    tf.keras.layers.Conv2D(filters=256,kernel_size=3,padding='same',activation='relu'),\n",
    "    tf.keras.layers.MaxPool2D(pool_size=3, strides=2),\n",
    "    tf.keras.layers.Flatten(),\n",
    "    tf.keras.layers.Dense(4096,activation='relu'),\n",
    "    tf.keras.layers.Dropout(0.5),\n",
    "    tf.keras.layers.Dense(4096,activation='relu'),\n",
    "    tf.keras.layers.Dropout(0.5),\n",
    "    tf.keras.layers.Dense(10,activation='softmax')\n",
    "])\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 虽然论文中AlexNet使用ImageNet数据集，但因为ImageNet数据集训练时间较长，我们仍用前面的Fashion-MNIST数据集来演示AlexNet。读取数据的时候我们额外做了一步将图像高和宽扩大到AlexNet使用的图像高和宽224。这个可以通过tf.image.resize_with_pad来实现"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 360x360 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 获取数据\n",
    "from tensorflow.keras.datasets import fashion_mnist\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "\n",
    "(x_train, y_train), (x_test, y_test) = fashion_mnist.load_data()\n",
    "\n",
    "# 熟悉一下，tf.image.resize_with_pad 函数\n",
    "def resize(x):\n",
    "    x = tf.cast(x, tf.float32)\n",
    "    x = tf.reshape(x, (x.shape[0], x.shape[1], 1))\n",
    "    x = tf.image.resize_with_pad(image=x, target_height=100, target_width=100, method='bilinear')\n",
    "    x = tf.squeeze(x)\n",
    "    return x\n",
    "\n",
    "img = x_train[0]\n",
    "img2 = resize(img)\n",
    "plt.imshow(img)\n",
    "plt.figure(figsize=(5,5))\n",
    "plt.show()\n",
    "plt.figure(figsize=(5,5))\n",
    "plt.imshow(img2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 数据预处理\n",
    "def data_scale(x, y):\n",
    "    x = tf.cast(x, tf.float32)\n",
    "    x = x / 255.0\n",
    "    x = tf.reshape(x, (x.shape[0], x.shape[1], 1))\n",
    "    x = tf.image.resize_with_pad(image=x, target_height=224,target_width=224)\n",
    "    \n",
    "    return x, y\n",
    "# 笔记本为了训练快，所以选了前两千个样本\n",
    "train_db = tf.data.Dataset.from_tensor_slices((x_train[0:5000],y_train[0:5000])).shuffle(20).map(data_scale).batch(32)\n",
    "test_db = tf.data.Dataset.from_tensor_slices((x_test[0:500],y_test[0:500])).shuffle(20).map(data_scale).batch(32)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/2\n",
      "157/157 [==============================] - 461s 3s/step - loss: 2.1826 - accuracy: 0.1531 - val_loss: 1.7901 - val_accuracy: 0.3220\n",
      "Epoch 2/2\n",
      "157/157 [==============================] - 462s 3s/step - loss: 1.2373 - accuracy: 0.4674 - val_loss: 0.9740 - val_accuracy: 0.6000\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<tensorflow.python.keras.callbacks.History at 0x17586f194a8>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 定义优化器和损失函数\n",
    "optimizer = tf.keras.optimizers.SGD(lr=1e-2)\n",
    "loss = tf.keras.losses.sparse_categorical_crossentropy\n",
    "net.compile(optimizer=optimizer, loss=loss, metrics=['accuracy'])\n",
    "net.fit_generator(train_db, epochs=2, validation_data=test_db)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential\"\n",
      "____________________________________________________________________________________________________\n",
      "Layer (type)                                 Output Shape                            Param #        \n",
      "====================================================================================================\n",
      "conv2d (Conv2D)                              multiple                                11712          \n",
      "____________________________________________________________________________________________________\n",
      "max_pooling2d (MaxPooling2D)                 multiple                                0              \n",
      "____________________________________________________________________________________________________\n",
      "conv2d_1 (Conv2D)                            multiple                                614656         \n",
      "____________________________________________________________________________________________________\n",
      "max_pooling2d_1 (MaxPooling2D)               multiple                                0              \n",
      "____________________________________________________________________________________________________\n",
      "conv2d_2 (Conv2D)                            multiple                                885120         \n",
      "____________________________________________________________________________________________________\n",
      "conv2d_3 (Conv2D)                            multiple                                1327488        \n",
      "____________________________________________________________________________________________________\n",
      "conv2d_4 (Conv2D)                            multiple                                884992         \n",
      "____________________________________________________________________________________________________\n",
      "max_pooling2d_2 (MaxPooling2D)               multiple                                0              \n",
      "____________________________________________________________________________________________________\n",
      "flatten (Flatten)                            multiple                                0              \n",
      "____________________________________________________________________________________________________\n",
      "dense (Dense)                                multiple                                26218496       \n",
      "____________________________________________________________________________________________________\n",
      "dropout (Dropout)                            multiple                                0              \n",
      "____________________________________________________________________________________________________\n",
      "dense_1 (Dense)                              multiple                                16781312       \n",
      "____________________________________________________________________________________________________\n",
      "dropout_1 (Dropout)                          multiple                                0              \n",
      "____________________________________________________________________________________________________\n",
      "dense_2 (Dense)                              multiple                                40970          \n",
      "====================================================================================================\n",
      "Total params: 46,764,746\n",
      "Trainable params: 46,764,746\n",
      "Non-trainable params: 0\n",
      "____________________________________________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "net.summary(line_length=100)\n",
    "# net.save()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[0.969984732568264, 0.6]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "net.evaluate_generator(generator=test_db)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "conv2d\n",
      "max_pooling2d\n",
      "conv2d_1\n",
      "max_pooling2d_1\n",
      "conv2d_2\n",
      "conv2d_3\n",
      "conv2d_4\n",
      "max_pooling2d_2\n",
      "flatten\n",
      "dense\n",
      "dropout\n",
      "dense_1\n",
      "dropout_1\n",
      "dense_2\n"
     ]
    }
   ],
   "source": [
    "for layer in net.layers:\n",
    "    print(layer.name)\n",
    "#     print(layer.get_weights())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "conv2d itput shape:\t (1, 224, 224, 1)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 360x360 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "conv2d output shape:\t (1, 54, 54, 96)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 360x360 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 360x360 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 360x360 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "max_pooling2d itput shape:\t (1, 54, 54, 96)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 360x360 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "max_pooling2d output shape:\t (1, 26, 26, 96)\n"
     ]
    },
    {
     "data": {
      "image/png": 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x50TEeEQ8Udx/W9LMnBG9djzL6pyTboX+UkmHZj0eU+9OzBGSfmF7l+2t3S4mYW0x6cnM5CdrulxPmZ6dh+E9c0b07PGsM7dFt0Lvcyzr1b7DayPiDyV9RtKXi5esmL+m5mHohnPMGdGT5ju3xYxuhX5M0oZZj9dLeqVLtVSKiFeK2yOS7lfJvAE94vDMV56L2yNdrucszc7D0GnnmjNCPXg868xtMaNbod8p6QrbH7Q9IOkmSQ92qZZStpcVH5jI9jJJn1ZvzxvwoKQtxf0tkh7oYi3n1IvzMJTNGaEeO54tm9siIrryI2mTpj/Bf1HSN7pVR6LGD0l6svjZ10t1SrpP0y/lzmj6ldMXJL1P0g5Jzxe3K3uwxn+VtEfSU5oO1XAPHMvrNP328ilJu4ufTT14PMvqnNMxZRgukBlG5AGZIfRAZgg9kBlCD2SG0AOZIfRAZgg9kJn/BSnzhwv0idb0AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 360x360 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 360x360 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 360x360 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "conv2d_1 itput shape:\t (1, 26, 26, 96)\n"
     ]
    },
    {
     "data": {
      "image/png": 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x50TEeEQ8Udx/W9LMnBG9djzL6pyTboX+UkmHZj0eU+9OzBGSfmF7l+2t3S4mYW0x6cnM5CdrulxPmZ6dh+E9c0b07PGsM7dFt0Lvcyzr1b7DayPiDyV9RtKXi5esmL+m5mHohnPMGdGT5ju3xYxuhX5M0oZZj9dLeqVLtVSKiFeK2yOS7lfJvAE94vDMV56L2yNdrucszc7D0GnnmjNCPXg868xtMaNbod8p6QrbH7Q9IOkmSQ92qZZStpcVH5jI9jJJn1ZvzxvwoKQtxf0tkh7oYi3n1IvzMJTNGaEeO54tm9siIrryI2mTpj/Bf1HSN7pVR6LGD0l6svjZ10t1SrpP0y/lzmj6ldMXJL1P0g5Jzxe3K3uwxn+VtEfSU5oO1XAPHMvrNP328ilJu4ufTT14PMvqnNMxZRgukBlG5AGZIfRAZgg9kBlCD2SG0AOZIfRAZgg9kJn/BSnzhwv0idb0AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 360x360 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "conv2d_1 output shape:\t (1, 26, 26, 256)\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAP0AAAD4CAYAAAAn+OBPAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjMsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+AADFEAAAOeElEQVR4nO3dXYxc5X3H8d9v17trvGCwcWxc48aUQAtNVai2NBJRQ4oSATeQi0ThIjISqnMR1ETKRRG9CJeoahLloorkFBSnSolSJQhfoDaWk5ZWSihrywUTh5eCQ4xdG2NejIP39d+LPVZXxnOe8cyZF/P/fqTVzJ7nzHP+Oru/PTP7PPOMI0IA8hgZdAEA+ovQA8kQeiAZQg8kQ+iBZFb082DjnoiVmuznIXOzy7usKPwKjBT6WFgoHiPmy/ugGad1SrMxU/tD6yr0tm+T9C1Jo5L+ISIeqtt/pSb1Z761m0NiuUKoPT5e7GL0Q+vqdxgfq22Od04Wj7Fw/I3iPmjGU7G7uE/HT+9tj0r6e0m3S7pe0t22r++0PwD90c1r+pskvRQRL0fErKQfSLqzmbIA9Eo3od8k6TfLvj9UbQMwxLp5TX+uF5Tvm9Nre5ukbZK0Uqu6OByAJnRzpT8kafOy76+UdPjsnSJie0RMRcTUmCa6OByAJnQT+qclXWP7Ktvjkj4vaWczZQHolY6f3kfEvO37JP2rlobsHomI5xqrrJU2xp4/EFz+ezyysvDM6dotxT6O/9Glte0XnZivbV81/dviMbBM6fe3nXe91vXRxsO7GqePiCckPdFNHwD6i2m4QDKEHkiG0APJEHogGUIPJEPogWQIPZBMXxfRKGpn4k0bk1YuBC4tTtHO5JzL19a2H/rEZcU+3rmufvLNFf8+Wts+cfRY8RhpjNSfK6n8c4/5+p/H0k7dLVv/wUgQgLYReiAZQg8kQ+iBZAg9kAyhB5Ih9EAywzVOj/9XGseXNLf58tr29z52qtjHlnVv1bbP/NvGYh9YsmLjhuI+i2/Wn++2xum7xJUeSIbQA8kQeiAZQg8kQ+iBZAg9kAyhB5Ih9EAyTM4ZUiOrVxf3OXrjZG375677j2Ifu49cW9t+6Ysna9u7W87hgyVOlSdDLb73Xh8qqceVHkiG0APJEHogGUIPJEPogWQIPZAMoQeSYZx+QGKxfoR78cPlBRlm/+Lt2vaPrDxa7OOf93y8tn31np8X+8AST9bPm5Ck0YmJ2vaFPnx4SFeht31Q0klJC5LmI2KqiaIA9E4TV/pPRsTxBvoB0Ae8pgeS6Tb0IekntvfY3nauHWxvsz1te3pOM10eDkC3un16f3NEHLa9XtIu27+KiCeX7xAR2yVtl6TVXsv7M4AB6+pKHxGHq9tjkh6TdFMTRQHonY5Db3vS9iVn7kv6tKT9TRUGoDe6eXq/QdJjts/0808R8S+NVAX9dtOq4j73/P7u2vaXTpfH+tfvWWy7JtSLmfL/rBaOv9GHSup1HPqIeFnSHzdYC4A+YMgOSIbQA8kQeiAZQg8kQ+iBZAg9kAyhB5JhEY0hNbN6tLjPpyZ/Wdv+0OHbi32s3nu4tn2+2APOWHy7/oNBhgVXeiAZQg8kQ+iBZAg9kAyhB5Ih9EAyhB5IhnH6HvGI63cYrR+HP3154fGSrhuv/5v9/PH1xT7W//pXxX3QnpibHXQJbeFKDyRD6IFkCD2QDKEHkiH0QDKEHkiG0APJME7fgeIY/NJOtc0jq1fXtp+6svwhFBMeq21/6/WLi32UR/LxQcOVHkiG0APJEHogGUIPJEPogWQIPZAMoQeSIfRAMkzO6URh4k1b1tRPzllcX16Q4cj8u7Xt4/9bP3kHORV/e20/YvuY7f3Ltq21vcv2i9Xtmt6WCaAp7VyyvivptrO23S9pd0RcI2l39T2AC0Ax9BHxpKQTZ22+U9KO6v4OSXc1XBeAHun0xemGiDgiSdVty/dt2N5me9r29JxmOjwcgKb0/L/3EbE9IqYiYmpME70+HICCTkN/1PZGSapujzVXEoBe6jT0OyVtre5vlfR4M+UA6LXiOL3tRyXdImmd7UOSvibpIUk/tH2vpFclfbbtI7r1AhQufABEO2Ix2tmpvr0wDu+V5ZcpHq8fIz+9pX6U85PXlj+EYu/sutr2tc+1cS6QTjH0EXF3i6ZbG64FQB8wDRdIhtADyRB6IBlCDyRD6IFkCD2QDKEHkun/Ihp1E1/aWZyi8Oky7n5+j0bXXFbbPnf1xmIfp36nfgLPiT+sL/TimfKn0/zVzntq2z/y6C+KfSAfrvRAMoQeSIbQA8kQeiAZQg8kQ+iBZAg9kExfx+k9OqrRS1t/yIMnVxX7iMmL6ncYLf8dW5yoX+Di3Ssna9tPbipPBlhxur79sufrF/J4/YUtxWP8wU9fqW2fL/aAjLjSA8kQeiAZQg8kQ+iBZAg9kAyhB5Ih9EAyfR2nX7hkQu9+4pqu+rjo8Hu17SuOnyz2MfrOqdr2ydOzte2rXimP0/u1o7XtC2++WeyjhHF4dIIrPZAMoQeSIfRAMoQeSIbQA8kQeiAZQg8kQ+iBZPr/YRfRumnijfpJMZKk/3q2tpkJK0C94pXe9iO2j9nev2zbg7Zfs72v+rqjt2UCaEo7T++/K+m2c2z/ZkTcUH090WxZAHqlGPqIeFLSiT7UAqAPuvlH3n22n6me/q9ptZPtbbanbU/Pz9S/0QVA73Ua+m9LulrSDZKOSPp6qx0jYntETEXE1IqJ+lVmAfReR6GPiKMRsRARi5K+I+mmZssC0Csdhd728g9o/4yk/a32BTBciuP0th+VdIukdbYPSfqapFts36ClUfeDkr7YzsFG5kIXHalZBONp/nYAvVYMfUTcfY7ND/egFgB9wDRcIBlCDyRD6IFkCD2QDKEHkiH0QDKEHkimr4to+PSsRl94tWX7QtSssAGgEVzpgWQIPZAMoQeSIfRAMoQeSIbQA8kQeiCZvo7Tx8KCFt56u5+HBHAWrvRAMoQeSIbQA8kQeiAZQg8kQ+iBZAg9kAyhB5Ih9EAyhB5IhtADyRB6IBlCDyRD6IFkCD2QDKEHkiH0QDLF0NvebPtntg/Yfs72l6vta23vsv1idbum9+UC6FY7V/p5SV+NiOskfUzSl2xfL+l+Sbsj4hpJu6vvAQy5Yugj4khE7K3un5R0QNImSXdK2lHttkPSXb0qEkBzzus1ve0tkm6U9JSkDRFxRFr6wyBpfYvHbLM9bXt6TjPdVQuga22H3vbFkn4k6SsR8U67j4uI7RExFRFTY5ropEYADWor9LbHtBT470fEj6vNR21vrNo3SjrWmxIBNKmd/95b0sOSDkTEN5Y17ZS0tbq/VdLjzZcHoGntfNjFzZK+IOlZ2/uqbQ9IekjSD23fK+lVSZ8tdeSJcY3+7lUt2xdeeqVcjV3fHlHuA0isGPqI+E9JrZJ2a7PlAOg1ZuQByRB6IBlCDyRD6IFkCD2QDKEHkmlnnL5ZpXH2kj/9aG3z6KnZch/H36xvn6l/j8DCW2+XjwEMKa70QDKEHkiG0APJEHogGUIPJEPogWQIPZAMoQeS6evknJid0+LBQ1314cXCIhkzbUzOYfINEuNKDyRD6IFkCD2QDKEHkiH0QDKEHkiG0APJ9HWc3rY8PtayPebKY+yx90Bt+8LiQrGPkUsuqW9ftaq+htk26pyfL+5zIfDYeG37yKX151KSNDtX2xwL5Z9Z8XwW+mjnGHL9NdBj9XGJwvyPYcGVHkiG0APJEHogGUIPJEPogWQIPZAMoQeSIfRAMsXJObY3S/qepCskLUraHhHfsv2gpL+U9Hq16wMR8URdXxFRO8miNClGKk+yiJnyJIzFkyeL+2BJacLUYhsLjhQn1oyMtlHIYnmf2scXFl+RpCj8btXPMWrEiis2dPV4Hy/Pt2tnRt68pK9GxF7bl0jaY3tX1fbNiPi7LmoE0GfF0EfEEUlHqvsnbR+QtKnXhQHojfN6TW97i6QbJT1VbbrP9jO2H7G9puHaAPRA26G3fbGkH0n6SkS8I+nbkq6WdIOWngl8vcXjttmetj09F6cbKBlAN9oKve0xLQX++xHxY0mKiKMRsRARi5K+I+mmcz02IrZHxFRETI15ZVN1A+hQMfS2LelhSQci4hvLtm9ctttnJO1vvjwATWvnv/c3S/qCpGdt76u2PSDpbts3SApJByV9sScVAmiUo53xy6YOZr8u6dfLNq2TdLxvBXSOOpt1IdR5IdQovb/OD0fEh+oe0NfQv+/g9nRETA2sgDZRZ7MuhDovhBqlzupkGi6QDKEHkhl06LcP+Pjtos5mXQh1Xgg1Sh3UOdDX9AD6b9BXegB9RuiBZAYWetu32X7e9ku27x9UHSW2D9p+1vY+29ODrueM6k1Ox2zvX7Ztre1dtl+sbgf6JqgWNT5o+7XqfO6zfccga6xq2mz7Z7YP2H7O9per7cN2PlvVeV7ndCCv6W2PSnpB0qckHZL0tKS7I+KXfS+mwPZBSVMRMVQTNWz/uaR3JX0vIj5abftbSSci4qHqD+maiPjrIavxQUnvDtM6DNWU8o3L14yQdJekezRc57NVnZ/TeZzTQV3pb5L0UkS8HBGzkn4g6c4B1XJBiognJZ04a/OdknZU93do6RdiYFrUOHQi4khE7K3un5R0Zs2IYTufreo8L4MK/SZJv1n2/SEN78IcIekntvfY3jboYgo2VIuenFn8ZP2A62llaNdhOGvNiKE9n92sbTGo0Psc24Z17PDmiPgTSbdL+lL1lBWda2sdhkE4x5oRQ6nTtS3OGFToD0navOz7KyUdHlAttSLicHV7TNJjarFuwJA4euYtz9XtsQHX8z7trsPQb+daM0JDeD67WdvijEGF/mlJ19i+yva4pM9L2jmgWlqyPVn9w0S2JyV9WsO9bsBOSVur+1slPT7AWs5pGNdhaLVmhIbsfDa2tkVEDORL0h1a+g/+/0j6m0HVUajx9yT9d/X13DDVKelRLT2Vm9PSM6d7JV0uabekF6vbtUNY4z9KelbSM1oK1cYhOJcf19LLy2ck7au+7hjC89mqzvM6p0zDBZJhRh6QDKEHkiH0QDKEHkiG0APJEHogGUIPJPN/GcBS3JGfG+UAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 360x360 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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MwE9JPgjgPQBfak0X/7/qu+8H2/ucdgCwv/hUsL08Gh4Urjtj1wBQcxaaqDtnvl6IOYazD68ABuAWl/AXkfAP4RUl8eZFxPTD34E/iO7NBfDai3N+N4pz4QfCSsQDPR/oSDWi+Iq3gZn9J/Jrm9zjHkFEuoqm4YokRqEXSYxCL5IYhV4kMQq9SGIUepHErLjP0zcD/+u3wXZvsnDhY7e7x6ivGgi2V0bCg761fv/1uO58hjxmbNurDVCcDe+kOF12j1E4fSHYbvP+ZzJsdtbZIObD7GEcDD9nHAi32/SMe4za+fPB9oi1Q7D1F3+a23bWqdMA6EovkhyFXiQxCr1IYhR6kcQo9CKJUehFEqPQiyRGoRdJTJKTcxpV+/1bDe/DO/Er5YmJmRITsZZFd/AmAHWJ0q9fzG2j+Y9BV3qRxCj0IolR6EUSo9CLJEahF0mMQi+SGIVeJDEKvUhiFHqRxCj0IolR6EUSo9CLJEahF0mMQi+SGIVeJDEKvUhi3NCT3ELyNySPknyN5Ney2x8leYLky9m/+1rfXRFpVEyBliqAb5jZSyRHALxI8mDW9l0z++fWdU9Ems0NvZmdAnAq+36K5FEAN7a6YyLSGtf1Oz3JrQDuBPB8dtPDJF8h+QTJ0Sb3TURaIDr0JIcB/AzA183sEoDvAbgNwA4svhP4ds799pKcIDlRgb86qYi0VlToSZawGPgfmtnPAcDMTptZzczqAL4PYOe17mtm+8xs3MzGS+4i0CLSajF/vSeAxwEcNbPvLLl985LNvgjgSPO7JyLNFvPX+7sAfAXAqyRfzm77JoAHSO7AYunzYwAeakkPRaSpaBazXEGTDkaeAfDukpvWAfiwbR1YPvWzuVZCP1dCH4Gr+3mLma0P3aGtob/q4OSEmY13rAOR1M/mWgn9XAl9BJbXT03DFUmMQi+SmE6Hfl+Hjx9L/WyuldDPldBHYBn97Ojv9CLSfp2+0otImyn0IonpWOhJ3kvy9yTfIvlIp/rhIXmM5KtZzYCJTvfnsuxDTpMkjyy5bYzkQZJvZl87+iGonD52XR2GQM2IbjufTalt0ZHf6UkWALwB4K8BHAfwAoAHzOz1tnfGQfIYgHEz66qJGiT/EsA0gH83sz/ObvsnAOfM7LHshXTUzP6+y/r4KIDpbqrDkE0p37y0ZgSA+wH8LbrrfOb1829wHee0U1f6nQDeMrN3zKwM4McAdneoLyuSmR0GcO6Km3cD2J99vx+L/yE6JqePXcfMTpnZS9n3UwAu14zotvOZ18/r0qnQ3wjg/SU/H0f3FuYwAM+SfJHk3k53xrExK3pyufjJhg73J0/X1mG4omZE157PRmpbdCr0vMZt3Tp2eJeZfRrAFwB8NXvLKssXVYehE65RM6IrLbe2xWWdCv1xAFuW/HwTgJMd6kuQmZ3Mvk4CeAo5dQO6xOnLH3nOvk52uD9Xia3D0G7XqhmBLjyfjdS2uKxToX8BwHaS20j2AvgygAMd6ksukkPZH0xAcgjALnR33YADAPZk3+8B8HQH+3JN3ViHIa9mBLrsfDattoWZdeQfgPuw+Bf8twH8Q6f64fTxVgC/zf691k39BPAkFt/KVbD4zulBAGsBHALwZvZ1rAv7+B8AXgXwChZDtbkLzuXnsPjr5SsAXs7+3deF5zOvn9d1TjUNVyQxmpEnkhiFXiQxCr1IYhR6kcQo9CKJUehFEqPQiyTmfwFhCJjZxSPz7QAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 360x360 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 360x360 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "max_pooling2d_1 itput shape:\t (1, 26, 26, 256)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 360x360 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "max_pooling2d_1 output shape:\t (1, 12, 12, 256)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 360x360 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 360x360 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 360x360 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "conv2d_2 itput shape:\t (1, 12, 12, 256)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 360x360 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "conv2d_2 output shape:\t (1, 12, 12, 384)\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 360x360 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAPsAAAD4CAYAAAAq5pAIAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjMsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+AADFEAAANEUlEQVR4nO3dXYzeZZ3G8e81L21pCwsIdbFlBTYNu6zJBnaWRUnMhmqCq7Ee7CaQYFhjtierojExuCecemCMHhiTBkESCWRTSSSGqAQ1ZhO3sRQSgWpgQaBQaVkUBNrOtPPbg3lMurN9gfnfM8+s9/eTNDPPS37/azrPNffzNvekqpD0x29i3AEkrQzLLnXCskudsOxSJyy71ImplTzYmqytdWxYyUNqoEw1uonUfJs5E43Wp6TNHKBm55rNGuoIbzBbR0/6xa1o2dexgb/LtpU8pAaavGBTm0GHjzQZk/VnNZnD2jVt5gDHnn2+2ayhdtdDp7zMu/FSJyy71AnLLnXCskudGFT2JNcn+VWSp5Lc2iqUpPaWXPYkk8DXgQ8BVwA3JrmiVTBJbQ1Z2a8Gnqqqp6tqFrgX2N4mlqTWhpR9M3DiC4z7R+f9L0l2JNmTZM8cRwccTtIQQ8p+snfp/J9fjq+qnVU1U1Uz06wdcDhJQwwp+37g4hNObwFeHBZH0nIZUvafA1uTXJpkDXADcH+bWJJaW/J746vqWJJPAT8AJoE7qurxZskkNTXoF2Gq6gHggUZZJC0j30EndcKyS52w7FInVnTzCv3/k+npJnPmLruoyZyDM212OpqYa/f3Ei7ce26TOXPnDN9Qo/7zZ6e8zJVd6oRllzph2aVOWHapE5Zd6oRllzph2aVOWHapE5Zd6oRllzph2aVOWHapE5Zd6oRllzph2aVOWHapE5Zd6oQ71ei05t9xTpM5r25d32bOVW3+hNhZZ7f7U2TP/NnZTeZMbn198Iy5/zr1Djyu7FInLLvUCcsudcKyS52w7FInllz2JBcn+XGSfUkeT3JLy2CS2hry0tsx4PNVtTfJ2cDDSR6sqicaZZPU0JJX9qo6UFV7R5//HtgHbG4VTFJbTR6zJ7kEuBLY3WKepPYGv4MuyUbgO8Bnq+q1k1y+A9gBsI4276KS9PYNWtmTTLNQ9Lur6r6TXaeqdlbVTFXNTLN2yOEkDTDk2fgA3wT2VdVX2kWStByGrOzXAh8Hrkvy6OjfPzTKJamxJT9mr6r/ANIwi6Rl5DvopE5YdqkTll3qhDvV6LTm17a5iUwePfUOKm9rzstrmsw5fHSyyRyAiXVtvrY7/+auwTP+ZcPLp7zMlV3qhGWXOmHZpU5YdqkTll3qhGWXOmHZpU5YdqkTll3qhGWXOmHZpU5YdqkTll3qhGWXOmHZpU5YdqkTll3qhGWXOuG2VDqtiTfnmsyZ29Bm1/HMNxnDxOF269zaV9rMmll7fPCM9af5b3Zllzph2aVOWHapE5Zd6oRllzoxuOxJJpM8kuR7LQJJWh4tVvZbgH0N5khaRoPKnmQL8GHg9jZxJC2XoSv7V4EvAKd8q0OSHUn2JNkzx9GBh5O0VEsue5KPAAer6uHTXa+qdlbVTFXNTLN2qYeTNNCQlf1a4KNJfg3cC1yX5NtNUklqbsllr6ovVtWWqroEuAH4UVXd1CyZpKZ8nV3qRJPfequqnwA/aTFL0vJwZZc6YdmlTlh2qRMrulNNpqaYvGDT4DnHXzrYIM0ft0y1+dYeP6fNeyPmG93S5tdWkzkTs212zgGYPNJmzkSDtfd0X5Uru9QJyy51wrJLnbDsUicsu9QJyy51wrJLnbDsUicsu9QJyy51wrJLnbDsUicsu9QJyy51wrJLnbDsUicsu9SJFd2phoRMT6/oIXs1cfmfN5lz+Pw2O9XMbWyzM0xNnfIvjb0tx6fa7HgDUJOTTeZMZ/icnGavGld2qROWXeqEZZc6YdmlTlh2qRODyp7k3CS7kvwyyb4k720VTFJbQ196+xrw/ar6xyRrgPUNMklaBksue5JzgPcD/wxQVbPAbJtYklobcjf+MuAQcGeSR5LcnmTD4isl2ZFkT5I9s/OHBxxO0hBDyj4FXAV8o6quBN4Abl18paraWVUzVTWzZuKsAYeTNMSQsu8H9lfV7tHpXSyUX9IqtOSyV9VvgOeTXD46axvwRJNUkpob+mz8p4G7R8/EPw18YngkScthUNmr6lFgplEWScvId9BJnbDsUicsu9SJFd2pptZOMffuCwfPmTq7zbtyX/ur85vMod2mJ8xubPPz98g72uwMM/snTcYwMddmTo412vFmsuFONY2WzOM1fBeeOs2N0ZVd6oRllzph2aVOWHapE5Zd6oRllzph2aVOWHapE5Zd6oRllzph2aVOWHapE5Zd6oRllzph2aVOWHapE5Zd6sSK7lQzPxWOXLBm8JzDl7f5yzIv/+3xJnNyvM3uKQCZa7ODyuSRJmOamR/+bR8NajMmtPueTbS5GfF6HR08Y96daiRZdqkTll3qhGWXOmHZpU4MKnuSzyV5PMljSe5Jsq5VMEltLbnsSTYDnwFmquo9wCRwQ6tgktoaejd+CjgryRSwHnhxeCRJy2HJZa+qF4AvA88BB4BXq+qHi6+XZEeSPUn2HDv6xtKTShpkyN3484DtwKXAu4ANSW5afL2q2llVM1U1M7V2w9KTShpkyN34DwDPVNWhqpoD7gPe1yaWpNaGlP054Jok65ME2AbsaxNLUmtDHrPvBnYBe4FfjGbtbJRLUmODfuutqm4DbmuURdIy8h10Uicsu9QJyy51YkV3qqmJMLtx+M+XjS/MNUgDhze12T7l6HltdpcBmJ9uM6smm4xptuNNNVpWpt5ss8PMfMNb/sRsmznPHhv+tR09zc3HlV3qhGWXOmHZpU5YdqkTll3qhGWXOmHZpU5YdqkTll3qhGWXOmHZpU5YdqkTll3qhGWXOmHZpU5YdqkTll3qhGWXOrGi21JNHCvWHzo2fM7cfIM0MHm4yRg2vt5mqyQAqtGsRmNabSfV6stqtd1WqzkA6/67zVZi9/726sEzfnv8R6e8zJVd6oRllzph2aVOWHapE2cse5I7khxM8tgJ552f5MEkT44+nre8MSUN9VZW9m8B1y8671bgoaraCjw0Oi1pFTtj2avqp8Ari87eDtw1+vwu4GONc0lqbKmP2d9ZVQcARh83tYskaTks+xN0SXYk2ZNkz9zsG8t9OEmnsNSyv5TkIoDRx4OnumJV7ayqmaqamV6zYYmHkzTUUst+P3Dz6PObge+2iSNpubyVl97uAX4GXJ5kf5JPAl8CPpjkSeCDo9OSVrEz/iJMVd14iou2Nc4iaRn5DjqpE5Zd6oRllzph2aVOrOhONTUBx9YP//ly9OzpBmng8J+22WFkbtNckzkAazbONpkzNXW8yZw1jeYcn2+zrhw90uZ7P99q6xzgzZfWNZnz6O+2DJ7x5rE1p7zMlV3qhGWXOmHZpU5YdqkTll3qhGWXOmHZpU5YdqkTll3qhGWXOmHZpU5YdqkTll3qhGWXOmHZpU5YdqkTll3qRKra7Nbylg6WHAKePcPVLgBeXoE4b5V5zmy1Zeo5z7ur6sKTXbCiZX8rkuypqplx5/gD85zZastknpPzbrzUCcsudWI1ln3nuAMsYp4zW22ZzHMSq+4xu6TlsRpXdknLwLJLnVg1ZU9yfZJfJXkqya2rIM/FSX6cZF+Sx5PcMu5MAEkmkzyS5HurIMu5SXYl+eXo/+m9Y87zudH36rEk9yRp86da3l6GO5IcTPLYCeedn+TBJE+OPp630rlglZQ9ySTwdeBDwBXAjUmuGG8qjgGfr6q/BK4B/nUVZAK4Bdg37hAjXwO+X1V/Afw1Y8yVZDPwGWCmqt4DTAI3jCHKt4DrF513K/BQVW0FHhqdXnGrouzA1cBTVfV0Vc0C9wLbxxmoqg5U1d7R579n4Ya8eZyZkmwBPgzcPs4coyznAO8HvglQVbNV9bvxpmIKOCvJFLAeeHGlA1TVT4FXFp29Hbhr9PldwMdWNNTIain7ZuD5E07vZ8zFOlGSS4Argd3jTcJXgS8A82POAXAZcAi4c/Sw4vYkG8YVpqpeAL4MPAccAF6tqh+OK88i76yqA7CwiACbxhFitZT9ZH9Sc1W8JphkI/Ad4LNV9doYc3wEOFhVD48rwyJTwFXAN6rqSuANxnT3FGD0OHg7cCnwLmBDkpvGlWc1Wi1l3w9cfMLpLYzhLthiSaZZKPrdVXXfmONcC3w0ya9ZeJhzXZJvjzHPfmB/Vf3h3s4uFso/Lh8AnqmqQ1U1B9wHvG+MeU70UpKLAEYfD44jxGop+8+BrUkuTbKGhSdW7h9noCRh4fHovqr6yjizAFTVF6tqS1VdwsL/z4+qamwrV1X9Bng+yeWjs7YBT4wrDwt3369Jsn70vdvG6nki837g5tHnNwPfHUeIqXEcdLGqOpbkU8APWHgW9Y6qenzMsa4FPg78Ismjo/P+raoeGGOm1ebTwN2jH9BPA58YV5Cq2p1kF7CXhVdSHmEMb1NNcg/w98AFSfYDtwFfAv49ySdZ+KH0TyudC3y7rNSN1XI3XtIys+xSJyy71AnLLnXCskudsOxSJyy71In/AS20+1GN135tAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 360x360 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 360x360 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "conv2d_3 itput shape:\t (1, 12, 12, 384)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 360x360 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "conv2d_3 output shape:\t (1, 12, 12, 384)\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 360x360 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 360x360 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 360x360 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "conv2d_4 itput shape:\t (1, 12, 12, 384)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 360x360 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "conv2d_4 output shape:\t (1, 12, 12, 256)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 360x360 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 360x360 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 360x360 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "max_pooling2d_2 itput shape:\t (1, 12, 12, 256)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 360x360 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "max_pooling2d_2 output shape:\t (1, 5, 5, 256)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 360x360 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 360x360 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 360x360 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "X = next(iter(train_db))[0][0]\n",
    "\n",
    "def show(X):\n",
    "    X_ = tf.squeeze(X)\n",
    "    plt.imshow(X_)\n",
    "    plt.figure(figsize=(5,5))\n",
    "    plt.show()\n",
    "\n",
    "\n",
    "X = tf.expand_dims(X, axis=0)\n",
    "# 打印前 8 层的部分特征图\n",
    "for blk in net.layers[0:8]:\n",
    "    print(blk.name,'itput shape:\\t',X.shape)\n",
    "    show(X[0,:,:,0])\n",
    "    X = blk(X)\n",
    "    print(blk.name, 'output shape:\\t', X.shape)\n",
    "    for i in range(3):\n",
    "        show(X[0,:,:,i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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