{ "cells": [ { "cell_type": "markdown", "metadata": { "id": "1QiCFLer1FIe" }, "source": [ "**Chapter 14 – Deep Computer Vision Using Convolutional Neural Networks**" ] }, { "cell_type": "markdown", "metadata": { "id": "vCyq3-8y1FIj" }, "source": [ "_This notebook contains the sample from https://github.com/ageron/handson-ml2/ and https://github.com/fchollet/deep-learning-with-python-notebooks_" ] }, { "cell_type": "markdown", "metadata": { "id": "9J5g6PDs1FIk" }, "source": [ "\n", " \n", " \n", "
\n", " \"Open\n", " \n", " \n", "
" ] }, { "cell_type": "markdown", "metadata": { "id": "jRs8qCoF1FIk" }, "source": [ "# Setup" ] }, { "cell_type": "markdown", "metadata": { "id": "ZB0uE-rI1FIl" }, "source": [ "First, let's import a few common modules, ensure MatplotLib plots figures inline and prepare a function to save the figures. We also check that Python 3.5 or later is installed (although Python 2.x may work, it is deprecated so we strongly recommend you use Python 3 instead), as well as Scikit-Learn ≥0.20 and TensorFlow ≥2.0." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "Jc9dG1NU1FIm" }, "outputs": [], "source": [ "# Python ≥3.5 is required\n", "import sys\n", "assert sys.version_info >= (3, 5)\n", "\n", "# Is this notebook running on Colab or Kaggle?\n", "IS_COLAB = \"google.colab\" in sys.modules\n", "IS_KAGGLE = \"kaggle_secrets\" in sys.modules\n", "\n", "# Scikit-Learn ≥0.20 is required\n", "import sklearn\n", "assert sklearn.__version__ >= \"0.20\"\n", "\n", "# TensorFlow ≥2.0 is required\n", "import tensorflow as tf\n", "from tensorflow import keras\n", "assert tf.__version__ >= \"2.0\"\n", "\n", "if not tf.config.list_physical_devices('GPU'):\n", " print(\"No GPU was detected. CNNs can be very slow without a GPU.\")\n", " if IS_COLAB:\n", " print(\"Go to Runtime > Change runtime and select a GPU hardware accelerator.\")\n", " if IS_KAGGLE:\n", " print(\"Go to Settings > Accelerator and select GPU.\")\n", "\n", "# Common imports\n", "import numpy as np\n", "import os\n", "\n", "# to make this notebook's output stable across runs\n", "np.random.seed(42)\n", "tf.random.set_seed(42)\n", "\n", "# To plot pretty figures\n", "%matplotlib inline\n", "import matplotlib as mpl\n", "import matplotlib.pyplot as plt\n", "mpl.rc('axes', labelsize=14)\n", "mpl.rc('xtick', labelsize=12)\n", "mpl.rc('ytick', labelsize=12)\n", "\n", "# Where to save the figures\n", "PROJECT_ROOT_DIR = \".\"\n", "CHAPTER_ID = \"cnn\"\n", "IMAGES_PATH = os.path.join(PROJECT_ROOT_DIR, \"images\", CHAPTER_ID)\n", "os.makedirs(IMAGES_PATH, exist_ok=True)\n", "\n", "def save_fig(fig_id, tight_layout=True, fig_extension=\"png\", resolution=300):\n", " path = os.path.join(IMAGES_PATH, fig_id + \".\" + fig_extension)\n", " print(\"Saving figure\", fig_id)\n", " if tight_layout:\n", " plt.tight_layout()\n", " plt.savefig(path, format=fig_extension, dpi=resolution)" ] }, { "cell_type": "markdown", "metadata": { "id": "nwDbg-7y1FIo" }, "source": [ "A couple utility functions to plot grayscale and RGB images:" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "PvCU2Ic41FIo" }, "outputs": [], "source": [ "def plot_image(image):\n", " plt.imshow(image, cmap=\"gray\", interpolation=\"nearest\")\n", " plt.axis(\"off\")\n", "\n", "def plot_color_image(image):\n", " plt.imshow(image, interpolation=\"nearest\")\n", " plt.axis(\"off\")" ] }, { "cell_type": "markdown", "metadata": { "id": "OkoofjHC1FIp" }, "source": [ "# What is a Convolution?" ] }, { "cell_type": "markdown", "source": [ "A neuron’s weights can be represented as a small image the size of the receptive field. For example, below shows two possible sets of weights, called filters (or convolution kernels). In TensorFlow, each input image is typically represented as a 3D tensor of shape `[height, width, channels]`. A mini-batch is represented as a 4D tensor of shape `[mini-batch size, height, width, channels]`. The weights of a convolutional layer are represented as a 4D tensor of shape `[fh, fw, fn', fn]`. The bias terms of a convolutional layer are simply represented as a 1D tensor of shape `[fn]`.\n", "\n", "Let’s look at a simple example. The following code loads two sample images, using Scikit-Learn’s `load_sample_images()` (which loads two color images, one of a Chinese temple, and the other of a flower). The pixel intensities (for each color channel) is represented as a byte from 0 to 255, so we scale these features simply by dividing by 255, to get floats ranging from 0 to 1. Then we create two `7 × 7` filters (one with a vertical white line in the middle, and the other with a horizontal white line in the middle)." ], "metadata": { "id": "t9chkfh5534L" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "eYjSxols1FIq", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "c535c0eb-1338-4499-9a7e-67d481dfb6ec" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "(2, 427, 640, 3)" ] }, "metadata": {}, "execution_count": 3 } ], "source": [ "import numpy as np\n", "from sklearn.datasets import load_sample_image\n", "\n", "# Load sample images\n", "china = load_sample_image(\"china.jpg\") / 255\n", "flower = load_sample_image(\"flower.jpg\") / 255\n", "images = np.array([china, flower])\n", "batch_size, height, width, channels = images.shape\n", "\n", "# Create 2 filters\n", "filters = np.zeros(shape=(7, 7, channels, 2), dtype=np.float32) # [height, width, channel of inputs, channel of feature maps]\n", "filters[:, 3, :, 0] = 1 # vertical line\n", "filters[3, :, :, 1] = 1 # horizontal line\n", "images.shape" ] }, { "cell_type": "code", "source": [ "plot_image(filters[:, :, 0, 0])\n", "plt.show()\n", "plot_image(filters[:, :, 0, 1])\n", "plt.show()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 478 }, "id": "pkUtmDu95luP", "outputId": "6fcc4553-bf77-43c3-c016-e2638799f244" }, "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" } }, { "output_type": "display_data", "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAOcAAADnCAYAAADl9EEgAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAC3klEQVR4nO3dMQ4CMQwAQYzu/182PTqu41iJmTJp3Kwspcns7gPoef56AOCcOCFKnBAlTogSJ0QdV5cz4ykXvmx35+zc5oQocUKUOCFKnBAlTogSJ0SJE6LECVHihChxQpQ4IUqcECVOiBInRIkTosQJUeKEKHFClDghSpwQJU6IEidEiROixAlR4oQocUKUOCFKnBAlTogSJ0SJE6LECVHihChxQpQ4IUqcECVOiBInRIkTosQJUeKEKHFClDghSpwQJU6IEidEiROixAlR4oQocUKUOCFKnBAlTogSJ0SJE6LECVHihChxQpQ4IUqcECVOiBInRIkTosQJUeKEKHFClDghSpwQJU6IEidEiROixAlR4oQocUKUOCFKnBAlTogSJ0SJE6LECVHihChxQpQ4IUqcECVOiBInRIkTosQJUeKEKHFClDghSpwQdVxd7u5dcwBvbE6IEidEiROixAlR4oQocUKUOCFKnBAlTogSJ0SJE6LECVHihChxQpQ4IUqcECVOiBInRIkTosQJUeKEKHFClDghSpwQJU6IEidEiROixAlR4oQocUKUOCHq8n/OmblrDvhbn/7BtTkhSpwQJU6IEidEiROixAlR4oQocUKUOCFKnBAlTogSJ0SJE6LECVHihChxQpQ4IUqcECVOiBInRIkTosQJUeKEKHFClDghSpwQJU6IEidEiROixAlR4oQocUKUOCFKnBAlTogSJ0SJE6LECVHihChxQpQ4IUqcECVOiBInRIkTosQJUeKEKHFClDghSpwQJU6IEidEiROixAlR4oQocUKUOCFKnBAlTogSJ0SJE6LECVHihChxQpQ4IUqcECVOiBInRIkTosQJUeKEKHFClDghSpwQJU6IEidEiROixAlR4oQocUKUOCFKnBAlTogSJ0SJE6LECVHihChxQpQ4IUqcECVOiBInRM3u/noG4ITNCVHihChxQpQ4IUqcECVOiHoBtu8Ryifpv+QAAAAASUVORK5CYII=\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" } } ] }, { "cell_type": "markdown", "source": [ "Now if all neurons in a layer use the same vertical line filter (and the same bias term), and you feed the network with the image, the\n", "layer will output a feature maps. Here, we apply them to both images using the `tf.nn.conv2d()` function, which is part of TensorFlow’s low-level Deep Learning API. In this example, we use zero padding (`padding=\"SAME\"`) and a stride of 2\n", "\n", "Notice that the vertical white lines get enhanced in one feature map while the rest gets blurred. Similarly, the other feature map is what you get if all neurons use the same horizontal line filter; notice that the horizontal white lines get enhanced while the rest is blurred out. Thus, a layer full of neurons using the same filter outputs a feature map, which highlights the areas in an image that activate the filter the most. Of course you do not have to define the filters manually: instead, during training the convolutional layer will **automatically learn the most useful filters** for its task, and the layers above will learn to combine them into more complex patterns." ], "metadata": { "id": "w_mb8PcJ6db7" } }, { "cell_type": "code", "source": [ "outputs = tf.nn.conv2d(images, filters, strides=1, padding=\"SAME\")\n", "outputs.shape # [batches, height, width, channel of feature maps]" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "-JcX9YdI5ctM", "outputId": "a37439bb-4228-40b5-c20a-6205421ef876" }, "execution_count": null, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "TensorShape([2, 427, 640, 2])" ] }, "metadata": {}, "execution_count": 5 } ] }, { "cell_type": "markdown", "source": [ "The output is a 4D tensor. The dimensions are: batch size, height, width, channels. The first dimension (batch size) is 2 since there are 2 input images. The next two dimensions are the height and width of the output feature maps: since `padding=\"SAME\"` and `strides=1`, the output feature maps have the same height and width as the input images (in this case, 427×640). Lastly, this convolutional layer has 2 filters, so the last dimension is 2: there are 2 output feature maps per input image." ], "metadata": { "id": "s_ayly-7-cNQ" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 695 }, "id": "BRZV9KeC1FIr", "outputId": "edd46df0-33c6-4b26-c9f6-b017417f3db0" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Saving figure china_original\n" ] }, { "output_type": "display_data", "data": { "image/png": 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\n", 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\n", 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\n", 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" ] }, "metadata": { "needs_background": "light" } } ], "source": [ "def crop(images):\n", " return images[150:220, 130:250] #crop for better visulization\n", "\n", "plot_image(crop(images[0, :, :, 0]))\n", "save_fig(\"china_original\", tight_layout=False)\n", "plt.show()\n", "\n", "for feature_map_index, filename in enumerate([\"china_vertical\", \"china_horizontal\"]):\n", " plot_image(crop(outputs[0, :, :, feature_map_index]))\n", " save_fig(filename, tight_layout=False)\n", " plt.show()" ] }, { "cell_type": "markdown", "metadata": { "id": "WiJzx-qf1FIt" }, "source": [ "## Convolutional Layer" ] }, { "cell_type": "markdown", "metadata": { "id": "dqZ6NwD31FIt" }, "source": [ "Instead of manually creating the variables, however, you can simply use the `keras.layers.Conv2D` layer. The code below creates a Conv2D layer with 32 filters, each `3 × 3`, using a stride of 1 (both horizontally and vertically), SAME padding, and applying the ReLU activation function to its outputs. As you can see, convolutional layers have quite a few hyperparameters: you must choose the number of filters, their height and width, the strides, and the padding type. As always, you can use cross-validation to find the right hyperparameter\n", "values, but this is very time-consuming. We will discuss common CNN architectures later, to give you some idea of what hyperparameter values work best in practice." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "Q7ZNzP731FIt" }, "outputs": [], "source": [ "np.random.seed(42)\n", "tf.random.set_seed(42)\n", "\n", "conv = keras.layers.Conv2D(filters=2, kernel_size=7, strides=1, \n", " padding=\"SAME\", activation=\"relu\", input_shape=outputs.shape)" ] }, { "cell_type": "markdown", "metadata": { "id": "ImN2D6uw1FIu" }, "source": [ "Let's call this layer, passing it the two test images:" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "64lBHlJE1FIu", "outputId": "963dba3f-e77a-4349-bcb3-8b8bc2d09e4d" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "TensorShape([2, 427, 640, 2])" ] }, "metadata": {}, "execution_count": 9 } ], "source": [ "conv_outputs = conv(images)\n", "conv_outputs.shape " ] }, { "cell_type": "markdown", "metadata": { "id": "ijPQf43I1FIu" }, "source": [ "Since the filters are initialized randomly, they'll initially detect random patterns. Let's take a look at the 2 output features maps for each image:" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 356 }, "id": "e22NGfHa1FIv", "outputId": "373e101e-0b66-4878-f875-b87334288eae" }, "outputs": [ { "output_type": "display_data", "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" } } ], "source": [ "plt.figure(figsize=(10,6))\n", "for image_index in (0, 1):\n", " for feature_map_index in (0, 1):\n", " plt.subplot(2, 2, image_index * 2 + feature_map_index + 1)\n", " plot_image(crop(conv_outputs[image_index, :, :, feature_map_index]))\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "id": "miIH_I4Y1FIv" }, "source": [ "Although the filters were initialized randomly, the second filter happens to act like an edge detector. Randomly initialized filters often act this way, which is quite fortunate since detecting edges is quite useful in image processing. If we want, we can set the filters to be the ones we manually defined earlier, and set the biases to zeros (in real life we will almost never need to set filters or biases manually, as the convolutional layer will just learn the appropriate filters and biases during training):" ] }, { "cell_type": "code", "source": [ "len(conv.get_weights()), conv.get_weights()[0].shape, conv.get_weights()[1].shape" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "rO-tzYwm8RDH", "outputId": "123de644-e8d9-489e-f491-bd18f9dc2960" }, "execution_count": null, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "(2, (7, 7, 3, 2), (2,))" ] }, "metadata": {}, "execution_count": 20 } ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "r5YPoo7Y1FIv" }, "outputs": [], "source": [ "conv.set_weights([filters, np.zeros(2)]) # bias term" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 356 }, "id": "uzVoihUH1FIw", "outputId": "d9e28257-ed78-4c46-cf41-10c08e7b404e" }, "outputs": [ { "output_type": "display_data", "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" } } ], "source": [ "# Now let's call this layer again on the same two images, and let's check that the \n", "# output feature maps do highlight vertical lines and horizontal lines, respectively (as earlier):\n", "conv_outputs = conv(images)\n", "conv_outputs.shape \n", "plt.figure(figsize=(10,6))\n", "for image_index in (0, 1):\n", " for feature_map_index in (0, 1):\n", " plt.subplot(2, 2, image_index * 2 + feature_map_index + 1)\n", " plot_image(crop(conv_outputs[image_index, :, :, feature_map_index]))\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "id": "QII09sxB1FIw" }, "source": [ "## VALID vs SAME padding" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "jGRC7ef_1FIx" }, "outputs": [], "source": [ "def feature_map_size(input_size, kernel_size, strides=1, padding=\"SAME\"):\n", " if padding == \"SAME\":\n", " return (input_size - 1) // strides + 1\n", " else:\n", " return (input_size - kernel_size) // strides + 1\n", "\n", "def pad_before_and_padded_size(input_size, kernel_size, strides=1):\n", " fmap_size = feature_map_size(input_size, kernel_size, strides)\n", " padded_size = max((fmap_size - 1) * strides + kernel_size, input_size)\n", " pad_before = (padded_size - input_size) // 2\n", " return pad_before, padded_size\n", "\n", "def manual_same_padding(images, kernel_size, strides=1):\n", " if kernel_size == 1:\n", " return images.astype(np.float32)\n", " batch_size, height, width, channels = images.shape\n", " top_pad, padded_height = pad_before_and_padded_size(height, kernel_size, strides)\n", " left_pad, padded_width = pad_before_and_padded_size(width, kernel_size, strides)\n", " padded_shape = [batch_size, padded_height, padded_width, channels]\n", " padded_images = np.zeros(padded_shape, dtype=np.float32)\n", " padded_images[:, top_pad:height+top_pad, left_pad:width+left_pad, :] = images\n", " return padded_images" ] }, { "cell_type": "markdown", "metadata": { "id": "N_v2tiV51FIx" }, "source": [ "Using `\"SAME\"` padding is equivalent to padding manually using `manual_same_padding()` then using `\"VALID\"` padding (confusingly, `\"VALID\"` padding means no padding at all):" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "5n9N7lJl1FIx" }, "outputs": [], "source": [ "kernel_size = 7\n", "strides = 2\n", "\n", "conv_valid = keras.layers.Conv2D(filters=1, kernel_size=kernel_size, strides=strides, padding=\"VALID\")\n", "conv_same = keras.layers.Conv2D(filters=1, kernel_size=kernel_size, strides=strides, padding=\"SAME\")\n", "\n", "valid_output = conv_valid(manual_same_padding(images, kernel_size, strides))\n", "\n", "# Need to call build() so conv_same's weights get created\n", "conv_same.build(tf.TensorShape(images.shape))\n", "# Copy the weights from conv_valid to conv_same\n", "conv_same.set_weights(conv_valid.get_weights())\n", "\n", "same_output = conv_same(images.astype(np.float32))\n", "\n", "assert np.allclose(valid_output.numpy(), same_output.numpy())" ] }, { "cell_type": "markdown", "source": [ "You can find other useful kernels here https://setosa.io/ev/image-kernels/" ], "metadata": { "id": "SIAQt4uoq23a" } }, { "cell_type": "markdown", "metadata": { "id": "mCLeautm1FIy" }, "source": [ "# Pooling layer" ] }, { "cell_type": "markdown", "metadata": { "id": "bX6_UATU1FIy" }, "source": [ "## Max pooling" ] }, { "cell_type": "markdown", "source": [ "Implementing a max pooling layer in TensorFlow is quite easy. The following code\n", "creates a max pooling layer using a 2 × 2 kernel. **The strides default to the kernel size**, so this layer will use a stride of 2 (both horizontally and vertically). By default, it uses VALID padding (i.e., no padding at all):" ], "metadata": { "id": "Nb_YO6WX_yBE" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "RsSe20ML1FIy" }, "outputs": [], "source": [ "max_pool = keras.layers.MaxPool2D(pool_size=2)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "7kzCpoBJ1FIy" }, "outputs": [], "source": [ "cropped_images = np.array([crop(image) for image in images], dtype=np.float32)\n", "output = max_pool(cropped_images)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 391 }, "id": "1T7AL3uh1FIy", "outputId": "286081c9-5f62-4e83-90aa-e59317f0cdfb" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Saving figure china_max_pooling\n" ] }, { "output_type": "display_data", "data": { "image/png": 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vHp4BC+8Lz/iOGekfpXiCGS85+GtUM13VtNc1JrlAImOeQQP+/mzN8b1m8zCkY0x4w99wzI2792wyjWzaH7fR4DIpk/AhEVMHJnFNZJ6zMc1Hs8nXvhbzDMrm/8ZcXsMn8kgas/kAk2QkJtVRSws/G+L8jZtNMx7MPRzV/XiJAp+TfZ6EmMQe9vmSSMYk8jC/NxVjJP9CEgXBJJJIxNSxSXSSMb+NoyYRSTZwe+OeoTYZT9M83yPEJDEy/R/qPllJcdSbvgshxNaEVrCEEEIIIYQQYozQC5YQQgghhBBCjBF6wRJCCCGEEEKIMWKLaLCajTqGBwf+EjfipFJN/rAyyjqLZMKb5UZmn3k68mUaZo94vcz7wTOtbCIMAHVjiJrIt1NcjdHh9BgdQi7EGMd2d1FcMIa09UyMYaQxyQzG2DEfefFI3ezrt6a8ABDMu7bdx18p+3O0hpzZNGtFKlVfxx0j4XUsSfPdSbP13/YBANSMDsGa/cbKXEw/5GIEJvWK0ZfUOM5n/Bhrwuod+MtrVkwFr7WIa2/dXOum0RymW70OJBj9zoqhfopXDw+5OtsZrUVfzPhOVlgj0Wk0Hb0j3jx02mQ2Dx1q8jUb7uG2AcCs7ikUZ6v+GtnPEkbPloxidH5GD5bIGgPppteONIwmCFWvSRnsZWPn3DhuWyXt9Y9WI1kv8D0x0vTmyrksazwHCr5M1hjzWj1hIvJtsaa1MNe1XPRaKWsAnG/4a1Qs8Xix35OIMTR2BuNGmxmnwaobLaBtGwAE0zxrCBxnql6rGN2QMdau22MASButaCLGGNne93ljemy1pABgh6F9DmeycXowY1Af88sfrEYsx8fJxOi2rO7TmqFHtrMBZEy/5LPe9DiViRFBCiHEVoRWsIQQQgghhBBijNALlhBCCCGEEEKMEXrBEkIIIYQQQogxYotosCIATdo/7/ffW9OftPMQ8fvkI+s7EqO9sD5Mdod4o+I9XCo14z1l9tJnY/a81yPWUUReaoRigT1nrCdKKkbfE4zuJtHkOukYLyTbu9W6115Yn5SM0SfZfgOAlNFIJK3GIOb13ekqYjyKrBwjMhqDZuS1DE1neMP90IgRNdXMtXb6kxia5jClhr+w1RqfU8Xq2ape31Ox4y7r25Iw2oW00VWUYzRvPWvXUDy1i73Wdt1xB1cnl2dNUGtnhyuTNlqLgvGimjx7tqtTrfM51s2FzsVo64pFvkfS20xxZSbtNo7iNjN2SxXvb5YzvldJc5fE+eEljJ9Z3D0xvreXv9to3JoxfkkVo/GcPpO1asWy1z3VzD0xLuW1ozXrqWQGr9WsAkCxYLyQzHVuVv2zw+r8hur+nshPNnok86wuFv01sj56Vq8U5xFlPxut+uPa35K68WFKxehl68Z3LDIP9FSMhiyTMn54MWOqVn5+36tEzE9j0ui/7K94pcb3TNxxKyV/7SPz/Atlc0/E6MFGh1j7lzEegJnxMfrHIvddJkYQNtjvvSWFEGJrQitYQgghhBBCCDFG6AVLCCGEEEIIIcYIvWAJIYQQQgghxBihFywhhBBCCCGEGCNCnFD7paYlnY52nDDhL3E9JumCTThgkzAkM14sXqtaw0UvnrXGje0pFgzbpBEAUDBJLtJGIB9ijFitqNiawgL+HBtGaF+txBw3xuyRvicuYYgRi8dorZ3o3Lf/eb8WAFAzheKSRtjxFqxrZgxxYnaLSwhiEpwkUjEmwiZZRr3mvydljUpN/1dqfuxmjElmRzsbSudNEgkAqBkRPdK+vf0DnDChagTy7Z1sgA0AqU6+Tw46/FAukPT3UdWI/G++/15XZlxnJx+mwG1JF32ig4GCaX8H92015jq3ZdiEtNz82/darp37txjzfKmU+LOsSQCRjUm4MVrihAmtMQkrZk3hJBwTTT8NDnjxfsMkaBkpsilvmzkGAJRK/EwqluOeody/47s4GUgm5ZPobNjA7XPjMia5UNc4Pm5heNiVaZrn7jhTp7u729Xp6+O2lMs+eYPFJhyyBuqA/y1xZr95nzDEMmqM7+3zEwCyOWOWG5P8o2qShmTTxvw85neuXOZxWDX9Eve87OrgMVQtDLgyIcHf3TDP6mmTfIKZrBkPK5c8Q3Gt5JOMtLfxPZ3qnuDKdLbxs+yii7/5UBRF+7mCQgjxMkUrWEIIIYQQQggxRugFSwghhBBCCCHGCL1gCSGEEEIIIcQYsYWMhgNqmxm/pnNek9I0hoXWcbFR90Iiq++JU5clU3zKZaNdSCW89qUB3ptu9VSJZoxBrdHqREm/L97uv8+1sAlslPRmkMHqJoy2qBEjlqobU9Kk2ecPAE2zb99q1aIYA+OE0XjYEpnWFlisPqBe8sbO7cbYNmn0VaUYLYY1rU0b7VScrqJhDEZHR/1xrY4s38Ln1NLizzGR5ms/bDQp6wus3wC8lqujdZwrs+PBu1BcN+OnWPTal3wLj/dbbriB4l333MfVmbbnHhQPNny/jE+Np7izmzUTKwsrXZ3ERNai9fduoHhchz9nK7mKK5NI8XgOOaOrtM8SAIkma5gSVu8YIw3cZto0iteVfH8/tmY9xeNHzLV2htgArDmu0YclGl4vk8vyuKvHaDODMf7u6VlLsdUKAkA2x5qforlHrPYLAMpVrlOG14OV6zyGlqwZpLiz0O/q/C1j4ZERNrkFgHTZ3PcJ/9ti5VLOOD54rVQwmryyeabWa/5ZXR/lfkjm/M9trcLHyRt9WCrGNNjqhMs1jjMx+s0e8zuX6/DPw5LRMJeK/Gxe3rfO1Uma39yJ286keMJ4f78uX76c4nKMZqy0fo37TAghtia0giWEEEIIIYQQY4ResIQQQgghhBBijNALlhBCCCGEEEKMEVtEgwUAjc22mtdKfp952miljMQm1nckkTLeTTE6LbtTvqOVdSHJlNcllIyaq2h0Tqngu7FptFzZGI1EzugdmuacC2Wvd8i3sk7L6oiimvcJas3xfnv7PQBQqfB++5rRBKWz3o/FakfKVdYulGL21ltNUzIT4wnV5GtQLfE5VRHj3WT8eiJz7VMxWi/rh9OS98dNWt1Hmb8nXWPPIgAoV/m7imUuk8x4jUTnRPaCSbZ0uDKPL19BcdZoLfr6vUaiONBDcXV9L8WlGO3IqUe+luIddtrJlRkfeEytW7GK4rZZU12dgTqP567WGXzMDI9tAOg2mqsJXZNcmcIwa3FSuRzF+XZ/3PXrWf81voU1ZM2K10rl23isTo681sj6/uTNeM/F3HulCtepNPiaxHm42XvN6hYBoFDgcWfv8Xye+wkAcqbvykZzFeexFIwmKE7vaO972zbrAQjEa8Q2Z2Bw0H2WMv2biDlEext7QllPq2rVP0ONBBidM3i8NBpetzVo2md9yQAgneT2tptrMjzI3nEA0N5qnufGh7Et5rr297PGrVz3931Hjn8LU518nNEhrzm00uLSIP+WFxL+uduS4f6vFXx/z5g0m+KHXQkhhHh5oxUsIYQQQgghhBgj9IIlhBBCCCGEEGOEXrCEEEIIIYQQYox4QS9YIYRzQwgPhhAqIYSfmn87MoTwVAihGEK4PYQw6yVpqRBCCCGEEEK8zHmhSS7WAPgSgGMB/EVhG0KYAOAqAO8HcB2ACwH8GsBBz/+tGYRJ2/wlbDa8oNyaD7Yb09pGTJ1ZM9jksFj0SSKKRRaUJ7Ksgh4t878DQKVmhd7874UYUXTamPlG8EL1EZMsIzJi8UaMuL1aY9Fw2rwjj+ti8TUAtJvEGD39Pa5MNWKRdks7C/obkRdFF43hb0snf0+t6YXr1hy0o8ULstM57uBa0SSWaMYItDv4u21igOFhb+6ba+O+yrX4JBeRMQvtL/FxGm1+jiJrkmVYM862jD/nyjoeY7WmN17NTWFz36VPLaS4q+STLuy63TYUpw/dn+Lbf32tqzOwdAnFiYQX5y9bvIjiiVnu/w0bfOKaTDuL86uFZylOYY6rs3T10xQ/8OiDrsywSUgxITOR4u3nzHZ17ln6BNfp5mdHdY03923W+ZrUWnwyhxr4vKOquUfS3ni1luLjtE3muD0mwUzvWk4SkU77ey2Z4eOkMvzsSEUx7TdJFzrS/Gyb3PTPl+X9fRRn4gx1TSKGdJaTctSyvv3VJrd3osmoMH0i3w8AsL7Ez63C+vWuTCrBiSPqVWOYnvSZMZLg59aqfk74MD7nk4wkp/Nv1kCPT/hQK/Hzo1jg78kF/zvX2cP3ecUa0te8AfO4HF+30UaMGXST7+FkmZN05Fv8NWo0OTFGDfz7WQr+uZto4XtgMOl/P2uR/0wIIbYmXtALVhRFVwFACGE/AJun/norgAVRFF2+6d8vANAbQtgpiqKnxritQgghhBBCCPGy5h/VYO0KYP6fgyiKCgAWb/pcCCGEEEIIIV5V/KMvWG0ArFHHEAC3jySEcPYmHdeD9RjPECGEEEIIIYTY2vlHjYZHAdjN5x0A3CbwKIq+D+D7AJBtaYtKmxnv1tP+Pa9m9EnDVd7bbY0rAaBv1TKKrekkAOTSrH8pDLCuImr4vd/ZHO/RT4C1APkYQ8xMyuhwWr3uplZhfYY9p0zWt98afQ4NsxZgKGbP/oZBNlVNxZgpp/OsXSjVTT8E39/NDPfLQPH5zwcAGuazeozOrGT0dQVjImwNggGgr4d1ZVajF1JeR5Q151jpjTGOLfA52TE1ut5r9hLWTNlIFzZkfFvyTa6THvUarC9+8lyKl69fSfHQkNfWjYywjmLitqw16n16saszWGHdRDEZox3JsL4kzJhCcXLFGlcnVzbnlGLD0Q2j3lR18uTp3LbEBlem04yPbIPHd1/Fm0FPM/2QCFyn2B/zHEixRqVQ9GVSGdaXtHTxdW3GGIGHpDEcb3LfVqte+1Kp8HFSyU5XplBlXV+9bPSbaa/BKhgNzYjxAR+qeW1db4Xvm2bMBFoSXCYyuspmyhsYN/P82QZj6L4+4Y1vR4Z5fFRi+ruR4udHMObhyap/JqWMsX2xxt/THfMcay3zGBvq8+1FxM+petNc15z/3Vhe5jKhyPdrPuv7sqeT9Wo9A2tdmVR2GsXNKt+PUc3rEuswWl3T31MneW1avpPvxxXrVrkyLU0lOBZCbN38o0+xBQD2/HMQQmgFMHfT50IIIYQQQgjxquKFpmlPhRByAJIAkiGEXAghBeBqALuFEE7e9O/nA3hMCS6EEEIIIYQQr0Ze6ArW5wCUAHwawLs2/f/noijaAOBkAF8GMADgQACnvATtFEIIIYQQQoiXPS80TfsFAC74K/92C4Cdxq5JQgghhBBCCLF18o8mufi7CCGBTO45IXdn3outSyVj7mvEwNm0T9RQrRoDxpiEFbk812vk+LjJdEwyhDYWGlvTzNGCTwIwak2Eh7yAP6pzGZf0Ikb4bRNHlOss0C7HieiNADumW1xSCPs9CXihvSUyhrpRwrc/YcTiiRhTz5Q571qCh6k1egaATIu5ruZ8opg67V2cGCAdY0zdX+X+TSX4e1pb/CKwTZSSSnGZzDhv1lofYuH39lNmuzLbzZhK8TMbeCdufrY/bmk5J7nYceIkih+JuY+eXvAYxbu84QhX5v7lPJ5LaU7UsO2sWa5OW4kNaQfT1ug5JunCAOfL2XbqNFcmZxIBpAs8DksFn5gh28L3eUcHG6Zu3+r7Esb8NKT8fT80zG1plrj/cy0+kcog+LzHjePEHpNa/TUamcIJQwrJNlemGfE16spy2ypVf9xGisd7Zydf10LBPweeedaYKbf6Z2irTeRR5XuinvDXKBjj73wnG0iPG8fJQACg2NtL8eBAjIlthp9t2YRJwDHqr1E6weOhaJI7TG73fdnZvi3F61t9YolMK/e3/e5y8EkuGi38MGsb5SQXXZE3pg5TJ1M8NDLDlSmUOflHeZjPOZv1914izc/mWomfuxPNfQUAtSSf8547bu/KbDuJn3Vfv+tmV0YIIV7OKFWPEEIIIYQQQowResESQgghhBBCiDFCL1hCCCGEEEIIMUZsEQ1Wo9nA8GamokMFr09qGs1Mucx79NMxWqm80XIND3tjx/VDxljYCHoSMYaR2RHe0251RMWi1w9EMAajda9diCKre+Lj5jMxe+mN0W2zZkwzG96EN+AuwXIAACAASURBVKrzZ5ms39eft0bITW5vveLP0eq0gtFpxRk9Z5L8WabTG1EmA/dDLcu6BKvP2/jdfI4Jo5Uql70hcDrB7e3q8m2xZs+pijEwjhGENSNub8qMqVomZl6jwf0/MuBNPX/+ix9TvPMx+1K8fI03Dc4VWSe0+I77KD5qz/1cnbYd5lK8rNzrytj7c3g932vdRX/v5Tr4vG+76SaKJ01gjQ0AvHYPNmvtWeP75cll/PyYmmdtzuzpbP4LACtWr6d48SBrdXabOdvVyaV5jPUVvelxVGXNybQ2fialmv45sH6EtWmrVnLbopy/j5JZHt+ri95gvCvDWpepk1nXMlTy+qTCAPdlxjwWKjG6ylyJ+6U1+GfFjA6+t4ZqfD9WY36JQj9rizJDXGfds95Aum5+F2bn/bXv62FdH6x8rezbPznN5101z4WhftbaAUBx/TP8NSl/349U+Rxbqtz+WR3+mbS8fzV/EHFb0vBaxtHVK7i9ZW8GnWrlZ0WLOcdq2V+kojEPz4HHVN86/+yYse1sbm/MM7R/maw0hRBbN1rBEkIIIYQQQogxQi9YQgghhBBCCDFG6AVLCCGEEEIIIcaILaLBaoaA0c10KaMFr9dIZVhjkMxxXKx7/UBk97h3eS8bKyFIGS1DqHsNU7vx50kbjVAy5bUAqRTrp6oV395Gk/fBN4x/Uibr99K3t7G+JAH+7pBnfxYASJn2lod8f7ebMi3Ge6fc9P1iJGNIJYzfVsPv8w/ms+qw199ValzGat46c95zplZjDcpwH+tjGjHjJZjRv2zVKlcmP76b4o5O1tiMDnntRVsrX6Nchr9o2SrWQwDAhDxrLdravK/RaJk1Evkk6zVGl3qfnYbRRu2090EU77LL7q5OocE6oaVPLndl9thlZ4oXP8DeWcsWPuTqzNifv+vwXdgnaOVafx8VnnmY4p2mznVl1o3ytU0WeUxtv7334mlpsjbnvuUrKW4m17k6s3acQvHSJTG6m6EeireZPYficR18DADoW8eamnZzXx2896GuzrzH2AOt5xmvv5u2HXsddbbyOLxnCWuEAKDSz305dzb7po3v8trX+U8u5Q8mTHJlpm/P98T6ER6rDz/h9WxH7rorxduP5/v+5sf8uFxtnrs7TZ/gykyK+D6674mnKU6n/b236w48Xpav5PHx1FrWzQHA7hPZC65rmtfU3vGnuyhuMf5aJx92mKvTVeQxduOfnuC2zt7D1Tl8n9kU96z2z7rHFy6k+KgDX0Px+jX+HB9bwn134J7bUXzMAX7sfvfSKynui/Eo/MTJx/kPhRBiK0IrWEIIIYQQ4hVHCGF6COH7IYRVIYRqCGF1COEHIQTvtv38x7kjhPDtl6iNZ4YQRv92SbE1oRcsIYQQQgjxiiKEMAfAgwB2A/AeANsBeBeAXQHMCyHM3mKNE6949IIlhBBCCCFeaVwMoAngqCiKbo2iaEUURbcDOGrT5xcD8atTIYSfhhCu//P/A3gtgA+HEKJN/80OIRyx6f+PDyE8GkIohxAeCiHsu9lx3OrUZvUmhBCOAPATAK2bHfuCl6pDxD8PvWAJIYQQQohXDCGEbgBvAHBxFEVkorcp/g6AN4YQvFme52MA7sPGF6Gpm/7bXLh7EYB/A7AfgCUArg8htNiD/BXuBXAegOJmx77oBdYVL2O2SJKLBALy4TmxdHvbeFfG5quoVznxQb6l09WJasbEM+mTIaRyLDQu19gUNgRvBJozrqqpiBM+ZNt9Mo1alZMu5HI+SUTJGHTmciwgz6T9+2+hn01J21rYCbRQ8Ya6DWPu2zndt7dvA4vMR+v83ZMnehPYDT0s9Lamx9OmekH/QiOknpDwiTymT59O8dKlLKJPtPpEHhMn8RgaHuDzycZc13HdLGZvJrxZa6iwKWlrk8fUkElqAACjo5zsIz2OE2WMq/rkH40Gf8+2hxzoyiTMGJrayckEznrbe1ydgQqbMg/XWeD/ZInHEwD0rOCkCxPm7OzKjCx4kuLW9RwXTSIBAFi/khMbzJrI431lDyeaAIC1Q9xXB0302+YPMUbCK1dz+5956E+uzuxtd6T4wBmT+XvX+SQXa57k9r9ujr8nBnr4nNY+xsbO4wIn9gCAfdo4scTqpTx21z7qswAcOoevfbroH+VDKzjRSF9jGcUHj/f359oBlgH0P87XdY+9Z/u2TOK/I1Yt8cknVmA+xbtvz8lKumf5xBi9D/6R4u3m8PccPt4/x/40yON5zX23ujL7bcf3/fTdeEzd/7gfhwNP8Rg6ZEeTbKXpf2t6n+UELdPSfuwevyuPwyce48Qjy++93dXZazdOnFKdw8dd3+v7v/cB/uygNj92iwP8jBy6hRNwfOGcD7s6l9zEz6RHb+d+mrXtbq7Ofxz/Jop/+KsfujLZhc+6z4R4kWwPIABY+Ff+/clN/7793zpQFEVDIYQqgGIURX/5cQjPmWRfGEXRjZs+OwvAKgCnAfCD2x+7GkIY2vi/kf/hEVstWsESQgghhBDi7+MvM2lRFI0CeBzALluuOeLlgF6whBBCCCHEK4lnAUT46y86u2z692exUY9ltwp4T4q/j5fy2OJljF6whBBCCCHEK4YoivoA3AjgHKuH2hR/GMDvoyjqB7ABG7VPm7OniasAkojnLwaTIYRWbMxa+OetiRsAtIQQNje73OtFHFtspWwZDVYCaM1tZjQ8PODKZIzOJt/GL/yDg96YsqubdTi1kjcuLQ2z1iWbZ03WQJ/X1NSN6fHETtZ/LX7am3zatnTHGACPbmDjxlw3a3W6Mv5+27CK9UitU1g70tb0hrrFMvfDxGnTXZmoytqtwghrMULkdUNdRr+GhtGUxVzXGeackmWvGUsM9VI8p4v7rlRiXREApEf4u3acxLqc4WFvCpstsgnvzPEdrky5XKY4VTF12lkDBwCjRveUrrEeaVYnX2cAWNzH57xwpTeBHR7gMk89yBqbj777LFdn0Ejclq1iLcbUOV6H0zmVNSpPzV/gyuycZr3GMce/nuIvf+eXrs7qNaxheudr2UR1XMpr4C6/ZwnFg6afAGBahueJVgXW4awdNeMUwI5Vfg50p/geXzDqt8LnkzwJOb7utdFresw4y/HYHd7gzVp3nM7XYO0w98Oipb7OpA6+z7fr8hqgJ3v54mcK/KzbbYJ//FcLfB8NlrhvB1b6e3rvWaznKTzrn6GlFfwMauvi+75tnTffHhjle21dD1/HbWZ6He6MIb5fe0q+vaUBfk51Zfgezoz4Z8WyCh93h8n8rJiZ9c/ddXV+hi5/epErc8jhB1BcmcJjavVSrwdbs5zvo91nswarbwXfMwCwfoj77pxPnuTKTJjH33355b+jeN1q1uMBwJfOfQfFH//3ZRT/6Gc/cXW+/fXPUjz+hGNdmYu+c5X7TIi/g3OxMYnELSGEzwF4BsBcAF/GxlWlczeVuw3AN0MIbwbwNIAPAJgJYNlmx1oG4IBNqd1HAfRv9m+fCyFsALAGwPnY+MJ06aZ/ewBAAcB/hhC+gY0vbueYdi4DkAshHA3gEWzUevk/jsRWhVawhBBCCCHEK4ooihZjY2a/BQB+gY0Z/i7FxtWl/aMo+vOM9Y83++8eACMArjaHuwgbX5yexMZVqW02+7dPA/g6gIexMWnG8VEUFTa1oR/A6QCOxkZt1tkAPm/aeS+A7wG4bNOxP/WPnbl4ObBFVrCEEEIIIYR4KYmiaCWAf/kbZWrYuGXQp8p8rswiAAdv/tlmRsX3RlG0x/PUvRbAtebjS0yZDwH40PO1U2xdaAVLCCGEEEIIIcYIvWAJIYQQQgghxBixRbYIphMB01qfE2WvWD/iyuQjFg1Pm8IJXp5ZxQJoAMiauDvGkHalEdq3TZ5A8YROFvgDwMA6rjMuzwk3du72yRFGR1lcHWd022ESR1T6jLA+5etM7+RzSpW477pavHl4ZJJ01Ht9ooC5ea43XOP+b6l5o+TIJL2pNFhInS94jWY6xX1X9zki0GIMf+smcUdbm73SQNYkICiXWJQ+LuOHesaMsUTMfENrms9xuMTnNKnNm522GIPo0Qr3S7Pmvyek+HuefvxxVyZR5+PUm3xO3Ul/7bvbeDyPa+MEHGsXeVPSOXuykWmU8df+Dz//DcUXnvN+is8wZqIAcPFlv6I4GficP3bW21ydX937XxQPrO13Zb78xfdS/NUrbqL4ilvY5BYARtesofgdp59K8VM9PsnFumVsfjppF+9P+Z5TWLD/1R//mOKedf6eOPXQQynuaONn3c9v+K2rM7KOr+PZb/f9/e0ND1D85PynKH7z9n7szn4TJ8666DI2+13X442p99uJr8l2c33ChwUPcqKX1AD3w1sP85mUL76ck6s828/Py65u/xzYfxonarihuMaVWbSan+eHj+ekM/vt5JMA/f6hRylesehpinfd3RtIL+/g8d0Y8ubbPY+zMe/uu3M/bOj1CU6WLuckFqec9DqKt53g++XSX/AY+tMDd7oyZ7/lRIqro5zs45rrrCQF2K2br8mnP/o+ij96wUWuzo2Xfpvic885w5WZt3hfih+48QFXRogtTRRFd8CnYBcCgFawhBBCCPEqIoTQHUK4OoRQCCEsDyGctqXbJIR4ZaEkF0IIIYR4NXExNmaEm4yNnkS/CyHMj6LIe1JsoiWXjzrbn1v1bST8wkWjZnaljHqrmJDkee1k4OO0tPuV5WTarEoG3lWQSHhLl4qxM8mmvZWDXWuu1/mTfN74fAAIDS5Tb3h7jabpmnq1ZmJvnVExu04Spl+aTf892SyfU6MZs9PGHCcyZZoxdXIJ/tO4meDdRHG7XRLgMlHMwlYiwfXqdf7uSt3b4eTSvOsnhJgFM7tDKpgxFjdW7Xmb48ZUQTDtj2tLFHFbXIm49ttrEvndWwFcxrXFHxXNyF5bvq7lmHEYmfHcmvP3gL2OqwcHe6MommjL6QVLCCGEEK8KNhnBngxgtyiKRgHcHUL4LYAzsDHddiyd7e14z0lv/0tcMN6cADC4lrekLr3Hb21Md/JW7lbjwbff69lTEAC6pvK27UaCt5u2xsghnn2Mt5lvP2OWK9MX8R+KG/p4C/Buu+3q6qSGuEz/sJdrFE3XrF/Gfm79K3mbLgAseYLfbfNG2lAu+u+Zs+02FA/GyBKaWT7H6ij3XSnGi3PHvPH2y3GdluC1DW1NfimoJP1LWEuOX577NvAL+NIBv6V5x2nTKE6m/Mt0lOIXs2SGpQFtOT9Whyvs05cwL5XZnG9/KsvnnU3649bNy1HCSDxSGV+nWeTJgHLMi2YafA2S5uXab4wGinV+aY8SvB38yeW+v+uDQxQfsOvurkxrjr/701dd47UW2EIvWM1qBaPLnzNdnBqjjyn0s5Fww8wgbBMzYBJNs8+/5Gc8trX6nQJrmKKin82YZL4rVefvaU/HDEQziDJ1v/8+38qDNZczN23D10kZfVKrGWSJhjfhrTd4sLa2ec1Ys8b1Omz3xrXFGHQaiRBGRvwDsaODb/x0zMxbzcxkdXVxeweGvA4navAYamnjH7FSzEyina1rzXsNEyp83uOyXRSHSswtZGZj+suso+ir+bE7bvxM80nZldlnJv9ATjLj54HH7nN1CpO5v+ckzAOy4sfLQz/5NcXvO+3trsz8ifxD8bOfsSnpZz7OmiYAWNvDupWf/voPFO+zr9c0ff69rAv5xTd/6so8es88ik85fD+Kn1202tVZYbRE09u5n75yLmvKAOBNH+K/vQbWeH3MW4/mebS3HcgP50uvud/VKa1fRvG/nvRmip94mnU6ALBqJf8wJEf8c+v4w1kX9Mjjj1A8NOjvo1POOJ7ix59i3dkf7/Bms60pHqtf+OBxrsyHP8P6u+XLuP2fPs/XaWbeQPEnv3YFxe2z/PP9c19gs+3BC7/vytxyC/fnrE7+A+bc0w5xdZZ+gY2Qly/mPxA/sM9bXZ19dt2L4vO/+kNXpjqOjeJbq9yX+860zwXgziVs5Hz/7XdRfMEnP+DqrJy/kI9xqx9TJ+zJz5cTX7c/xfPnsbE5ANx43c0Uv+O9/CLwun13cnUeMy8dj+8xz5V551Gvofi/xlaDtQOA+qa0239mPoDX2oIhhLOx0bcIHW1eny2EEH8NrWAJIYQQ4tVCGwA7+zcEwO3Ni6Lo+wC+DwDTJk+Ocpsl56rX/KTj7OkzKF6Z8smKkkmeVEyahFLFXj8Z3rN2GcW9g9z80jCvRgBAtskTq/P/eJsr0zTb2hpmy9pD11/u6rSbVYvBmEm6htlm1axynMr6FTe7Zc1u3moGv0axaDlPdNRTfrJ72kx+6a+2m2RRdb+5LG1W9jorPDE52uVXsNLD3A8jNT+pW65zf9ezPBbynX47mk3yZbc4AkC5xNc6U+bvLg36P/VzWZ5QbpgJ59GYye8o4gmgkIrZYme6M223+yV8nYZJmJZI+MnuYFYNm8P8RcmEX/WKzBxc1qyCzR3HK6AAsHRoEcV2pQwAFq3rcZ/FoSQXQgghhHi1MArAbuPoAODTGQshxN+JXrCEEEII8WphEYBUCGHzPcl7AvirCS6EEOLFskW2CCYQoTX13DJnMvJ6k1ynEbAFXtrLtviml8t8nFxMdpsUzNK1WW7Nx3gsWfFf0ixeV6t+q0AwnlAJ+CXljNGehTovMbdaTRaAuhHXFQq8FNzRPd7VqZqsP8WqX9LPt/LS9EDTXJMYnVmxycdpZHnJNhvXfrMMXa3EbG0w/kjBCBXbc37JNmv0YHaLQi7tx0vRbPEoFv2SfmcbH3ekzpOcqYLvl2Tj+Ze7k5NYxwUAff3GS2hnL0ieNpnrvfv0d1K8cMALhx94mjUzqxPcl9Mns+gTALCIt4Bce+2vXZHDjPfOTT/iMo/f/7Crc+773k3xe//fJyj+7reuc3Uu/BRroZ6+415X5vbrWdd0ypnsY/S5c9/j6nzzGz+n+KKvfIXiT3z2467O+09kj6sH//BHV2a/iTdS/L7T3kLxE71+e8Q117K2ZbepfA+fd/pRrs5/fJX7+9s/+4kr87UvfY7i4X/he+1XP+C2AkDHePYQ++yZrL/LFy5zdW74BW+DOnzKzq7M+846htv2tUsp/vbXfPs/cC6Pl7NOPpri+Tfc6upc+dWfUfzFDx7tytSHeSvJby5nf6e5M3wGq//93L9Q/NEPfYviX/7Q98sXPs16sFNPdRIf/PQXvG1r+23nUvyJj/A9DgCjBX5u3XYr+7y98WCv8zvjPadQ/NnPXejKXPHj31P8r5//GMVvO/GNvs7PuO9m3MaarE+d5dv/+SX8nPrZr7x29N/+fTv32VgRRVEhhHAVgC+GEN6PjVkETwTgxXdCCPF3ohUsIYQQQryaOAdAHkAPgMsAfOj5UrQLIcSLRUkuhBBCCPGqIYqifgAnvZg6o8PDuPem5zKfjsAnG0ga/6F6TKKDdIF3i4yYLL+Ddzzq6lTMDpJklXeClKwPEoCE/SwmmUPS/AXYqNvEAa4KqoFX4aNqjCeU8QmKEnzOlYZ14ILb45M0/RKlYryczClGCb9rpmUu7wZpaXLbivA7nfpKJpV7D2c9Tc+Z7eqMPLOM4u6emGQULXxODdPcUIzJSG2STaQin4V4pMap5hsRf0+I/HErlUEuY3JahBjfNEc15jqanUsmv0ms75j100pnfbIP10Dz1TXn6gZkAp9D3XRdzefxQCprsobb7wVQrfqEGnFoBUsIIYQQQgghxoi/+YIVQsiGEH4UQlgeQhgJITwaQnjjZv9+ZAjhqRBCMYRwewjBi0eEEEIIIYQQ4lXAC9kimAKwEhtN+FYAOA7Ab0IIu2NjutOrALwfwHUALgTwawAHPd8BAwKymyUCSMbk2y9XWIxvnZ1zed/0RIKX9koNvxRZM54TTbPqnE3541YqxunbLG9nkn4pNZXitiRi1tpr4HNqGr+DcoxRb1cLmx225nk5tlTyCSyCWbJtjdlOkEtwX1n/3Grkl0STxoG+ZpZ+64WY5CVm6XdC91RXplTn/s7keHx0J2ISVhhfkJES92Uj530Vmklj9OyHCyoVPu8NowMUp6xlPYDZ49kwt90kRSnn/XgpZ02yklaffGLeE+zPcOQgH3fxMm4bACx6mA1SJ06bRPGjFV/n8De8ieIFMQbGu5ssx8ec8jaKf37d7a7OBfvuS/HH3/9hij//5f91dU7/E5uovu0dR7oyn/n0dyluueluit99JienAIC3v+X1FH/jOz+l+FdXev+XD550GsX/8cwTrsztTy2leD9j8Pq5N3od/Rd7WPR/wzxO5HHO9nw9AOCYA3gea+kjQ65MeWAdxScdwf1/961s/AwAj9zH57T3dH7enHbyHq7OtxbzvXf9Dd7755SzD6d43934vn/wGZ+g5ahHllB86nGHUrzg0Qddnd89/BjFs/bpdGU+dConHjl/JZvaX3OzT55x/v6zKT7t9JMp/tH3fJKOu26+k+K3HebH7qP3LqP4kbv4Xpvb5jOHf+hENgC+8FkeY//3s6tcnfM/z/faKWe/25W55JucOGW7O3kcHnsM3zMAcPddfA3uf5RlTPvu4a/Ru0/gBDnf/MklrswVV17tPhNCiK2Jv/mCFUVRAcAFm310fQhhKYB9AYwHsCCKossBIIRwAYDeEMJOURQ9NfbNFUIIIYT459Jo1DE4/JxupRm8JqhiNgWlQsyfWBWTdbjBk6LVjJ+0SxR4oq/uJmxj9FX2a+tea4SGyZBsJ7sb/rg18MRpIua7aymTCThpDI0j3y8lc96hg7Pm5vPenDhldHCFop/UnT7DTOKmeJL33mU8cQkAeXONGibjc3bYf8+sHTh7atvOfiK11uDjRkarNsGa8gIotfF5N/pjTG5tluRhnqSuT+CJVQCob+ijOLSxz3Zi2E/wt8/iib2Bvj5XpmTOITL3RDomu7Sj6fVUSbPIkkxzxu9m2SyEAKhl+btqJZ7InjxxsqvTvfMuXGf5M67MlAN5sg8PznNlgL9DgxVCmAxgB2z0jNgVwF9yxG56GVu86XNb7+wQwoMhhAdrMenThRBCCCGEEGJr50W9YIUQ0gB+CeBnm1ao2gDYvSlDANpt3SiKvh9F0X5RFO2XTsak7hBCCCGEEEKIrZwXnKY9hJAA8AsAVQDnbvp4FDBijI2x3zi+GVGzgVLpuaX2lpxPyRg1jVFvhpehS2X/FSMFXmqfOM4buqaNNqpa46XeRjnO+NaIc4weKV33y7pZm641Rg+WyfIS8kiFV/bKFb/S15kzZr7mHdmaLQNA2rQlG3mz0zDK5zTJ6KsKRW+mXDPpTZNGX1WMSatqtxzE7VqA2T6Qy/ASeXnU601GzHgZBC8XT22zwxRoGeTxMitm6bo1y3MFB2/H2wCG2ryx81N9vAxdHuD2rljDOh0A6Grl7x4o+KX3++axIe1VV7NO4Y3Hn+Dq3F5nM9z2wOO/p8+nEb75qhsoPvY13uh2eZq3D3RN5m0Yxe3Z7BcA3vcfX6T4//vkJyk+8qh9XJ3LbmMj1vM++AlX5ujjWNuycD7rPvoH/Njdcxc2Mp01bSLF61az8TMAtJnH1DvPPtWV+cb536D49oUrKT7umBmuztG77UDxg3exdmdtj2/Lh097M8VnPHKxK3PRlb+l+FPnvZfi/Y9hLQ8A/O4nV1C84GnWZL1jb68H2+OwbSm+/rfeDHqHhcY8+Tw2vj3/896o9/JruR8+sdc2FL/rdK+t+9Z3f0XxH+5Y7Mqc9z4+78OO2Ivi3117vatz429ZG3XC+9i8+q57/Tlfcyun2544d3tX5uwPsx7sv7/2PYoXzl/t6hx7DN/nH/ngmRT/7/9839W543o2ET7h1He4MrfPZN3n9dfys2Pvvb2B9L997oMUf/A9n6X4upu8ButfP3UexQcu9pq9R/74kPtMCCG2Jl7QClbYmKT+RwAmAzg5iv7yhrEAwJ6blWsFMHfT50IIIYQQQgjxquKFrmB9F8DOAI6Komjzaf+rAXwthHAygN8BOB/AY0pwIYQQQohXChECapvtAGjGbr8wdVIxRqzZcRRXwJk6EzGJMUKXWT632Y5jZBeNiD9LxGRILtR454c1fM03/e6cvMmanMz4cyw3eUdMPs/tHy36HT3jx3HGz4QxV15d8LuWdpzJSRfGVf3unKXLllG8+xt45XtKv8+kWzW2x6vrfM7bdE5zdRpdnEhiJJt1ZeojvMMom+bvGYzZXdTW5HFWmuB3fNmEK8mpXKZW8gkgcjtygoeq2f3UMnO2qzNc4B0vmWl+R8bIKO8C6+zm6zo66neJtZrx0Wj4rNVFs4uq3WTQjmo+CUrSJCcZHOQ6K2JegRrgc5ywj8+c27vB74qJ44X4YM0C8AEAewFYF0IY3fTf6VEUbQBwMoAvAxgAcCCAU/760YQQQgghhBDilcsLSdO+HHE5QJ/791sA7PRivjSRCGhrfW5GIJf2sy/5LL+NtrZyPDzq38inTppAcbLuZ0lGRngWJG08obIxb845M/OTMakfMwmfVrVkZiqG614b1TaOdUGJDM+SlEe9p1W1yueUTvOlybXFzH4lTXrLmu+XpjluJsmzLyHtfaQybTwzMWRmGPIxXmWtHaxpam9zRTAwxOfU08MapsGRQVjaO7nvZnQbj6tR9gQCgL12mEvxIQfv68rMX7Sc4hEzLu/vWePq3LF0GcWZIp9PajX77gB+AnLKXK9h+vEvv0PxxT/8AcWPfGM+LEueZI+cfc5g/5tzznqXq/Pd//kWxaufWeLK9I0zcYPHwr6nsi8WADxW4mty6xN83N2PO9HV+d5/fJniXW/3mo7j3sj+PPc99jDFl9/l9RzvOJ71mUcfyjquH//c+2Bd+BPu73PP/3dXJjtxNsW/+gO3ZdZ0P+D33WcOxfPn83W8/oZ7XJ13T2ZN0zmferMr09vge/j6W9kfbL+DTapZAOsW70bx48/yo2Q11gAAIABJREFUZoQd5nnvrOPfwjPCC571aW1vupmvwfZ78He/+/2sDwOAb339vym+4SbWQR34eq8NPOQA1lfN+9Mjrsyl11xL8VFH8rVf8YTXBF17B7e/c1ue/f3YWb7/P3sR6+9+ccsDrsyZJ/N1fNNRbCF59Q2sQQSA6+/me+CEo9hj7PUH7AnLZdfxmBq3s3/Wnf2Z91N8/me/RvH/XMo6LgD44LlnUPz+/8farqsuY00fAHzrl5dSfOwJb3RlFq80qwp9/hkkhBAvZ150mnYhhBBCCCGEEPG84CyCQgghhBCvRqJUBpUJz2lOsilvJDt9KmtzikW/C6XWYM1SaZR3ZGRSfrdI0mSZTRnj3kSM6XG70XL1lHzG2LQxFm4YA+ORGA1WPcnfVSz6XT95Y1o7ZKRFuQ6vT3pylHcXpcz8f85LvXDka3glfPn6la5MJcPXYGApr4YOxOjksp28UyW/nsuMlryO6JG1nB14+/wsV2Z5gttSWL6e4mLMOeZyfI2SXeNcmfYsX6fRYd6RlMvEaOmyPD4mN1kH9WRxhW9MK4/NluC1SNMn8nkvfJozoTYaPltzMs2ZcsfP9RnAh8o8HpYVebx01vw90NJp+iXJO0hSNb8bqtHksTs45Hd81aK/uqmP0AqWEEIIIYQQQowResESQgghhBBCiDFii2wRTCaT6NpsCdkmsACAkWFezm5WeRl6fIxxLBq8HDhU8Mu4KWN+mzQJKlIJv5SazHCZuknPWq35dd0ozV3b0uKX/e1nUYXPccI4TtoBAJPHsxlkociGrzX4LQkjZS4zLun7O2ox79otXGag4JeCe9eupXjiRE5TOq6LEx8APl3o+jVrXRmYpd662Wbx+kO9Qepxhx1M8ZJ5LIhH5Nv/5tNPpvimZ70pad8evFz8re9dQnF/zPaIadvwEnl9kJNaJOFTsU6bwMv+i5951pXJ3MPJDr7w5a9S/OlPfNzVmVDmvrzx5pso3vbQ/VydXfZhAfyd993nyuyxN4vx//DLWyjuP/owV+eQ01kAf8mXv03xiZNmujoHncbC+69f+kNX5vO7slHv6045jeLfX8+GzAAw/v7HKN7nwGMonviIHwuPPTaP4uJi/3z51HkfovjCz3ya23LnIlfnzA/xNdhuXzZBXvBHn9jjwXtXUTy8jU8UdPMznKBlr1k7Ujyw0ptZn3Tc8RT/99c5OczvHnzS1Tl+6q4UH3mcv/ZX/vQaiq++nMfy8ace5+rM3Y3be/lv2PR4tOKfL2cczQlPvrbMP19uvo23Ee0wnbcMnXGiT57xnz/6DcVXXHY7xW9/s090tMs+B1I8/8GHXZknFrAZ8fHHcD/c+jBfQwC45nZOWNGa4GfbwQfv7urcvJC36cx7xCfE2f9Qrvea415D8SW/4nscABrf42Qw532Ek5VceYs/598+wPdWdoq/Jw464nUU/8+DSnIhhNi6kAZLCCGEEOJ5CMkUMp3PZX0slfxk5so+M2mR8i/e5SZPyGYncCbJgWGvlWoMcSbdRo2zEifT/nuGzGRmWzZmUtpqrOo8YdgS4+WU6uZJR8T4dg2VuW9yOT5Oouk9xHJl7pdEkstUMn7D1XYzplI8kO5xZbojbm85xeeYnuS1dCuf4UnpuRO472ot3osqPY6/J1vwk/Vz2vlap1q5Tkj6fsmbrMkD43yG4UmtfA7rRnkSd3KMBqvezv1ZMO3dZYOftBuqcd+Fqdu4Ms1x3DezqzxZ35fwE8yTy2ayLJrkymTyPFnWVeJz7un0k93dRgsYjfCkaGnI10Ga+3u8GT8AsO2unDjdT0FvRFsEhRBCCCGEEGKM0AuWEEIIIYQQQowRW2SLYCqVRPdmmpPRol8yLJilyPZWTq8YxbR8wwbWumTTPh1kypgGN4zpbjXyeqrBAV4uhjlGZ5fXSiXTvEwa1XyDV6xjM8UWs1xcqfsl2qXOpJaXlCP4Jc+2Dm5fJe3bMmK2OxSGjL4k7bcKzNxnD4qffWIBxavX+zSfnVle1g1Zn+4yW+drcNKxR1C81x7e17oWcXuTs3nrQCPnl3m//nte2L2lr9+VGYr4GlQyvHTdNux1LCMLOF3reKNn2/HAvVydNUuNgWvVL+k/NO9+Ps7+fJxSwl/7ow4/hOLps2dQfPHnLnR1asZ0utnit1DMOYH798D99qb4iSdY4wQAE9u5H6btyNsLBmucdhUAjnwrm9jOX/qUK/OtS9i49BMf/RjFzRZ/f965kA2ipx7EY27bA3lsA8BoP2+5+cEl17oyR7yFTVP3esNbKX58Huu4AODyeawt2ukw1p8sX+efYzcu5C1Dxx78Oldmp/GzKX7ySdZyhQG/xenUt7BObt+jWds474ZbXZ3s76+n+C3vPtuVWfg6fm4tuJc1NTPmeXPfcy64gOKPnc1j9cEVy1ydfdOsx3v92093ZX558VUU/+H2P1F86nvf6eocfMwJFP/xlnspvu1x1sQBwHs+8m8Ulwo/cGWuv4f7c/burNv6wEc+4upc+BU2335wEY/lmTse4OqcdTprGW/4/TWuzPe/yqbAH//GFyhe3OvTFT99F4+ppxawZu+sc/heBIDPfoGPe8lVd7syV32X9Zm46EeujBBCvJzRCpYQQgghhBBCjBFKciGEEEII8TzUGw30DD4ngE/FTE/XwMkmkkm/C6UCXi1P1zgLZGfO7xgog1cP01neDdDI+lXudJJ3nWRbYsxmE/xdzQHeUZIe53eYZEZ4581IzDlOiMxuilFe/e83CTgAYEInm8s2TAeP9nlT2J9fdyXF7znxWFdmoMIr9Z0tfE4jo/64DzzO2S8ntfEuq8IGv9tin6m8y6qa84kwahu4X8p5vo6h5FfC6628Y6f4xB2uzE57suHy8ALOEtq56xxXZ+hhNjnetZvHQn2yN0qe1MM7D/JFP+7KzzxAca6NdxVsE3xG0IkRJ+649wG/+2niFB7POdO/26xb5uqMTplN8aSFnMH0hGOPdHUuuZd3FRw99xBXZtn6Be6zOLSCJYQQQgghhBBjhF6whBBCCCGEEGKM2CJbBCvVBpateU6kvaF3wJXp7Ga/gI4WNtjtG/AJCYYrvPSbiUkUkDDJJ0o1LpNK+WQO1RQvgaeMMXKlhdu6sRAfp2qXzAEsH+2luCtjlpQzvi0Do7w0vf+enFygPab9a5fzcutQ1ftslJq8tWF1L4vSt91pZ1dntGzMnydyMoHjDmNhOADsZ0xhH138jCvTZvwkZk6eSPFNN//e1dl+X05KkD6UzXKX9PtEKg9vYC+RR67/nSszdy8+bmaYtzYkR/xWh7wxvB4/mU2ES+0+4cbTFT7OttO9ierAahazl4yJ6t47+uQf99/NYvyPHskmsHMXctILAHjk0YUUJ5t+HmacyQVz0By+rgvvf8jVqU3mZDHTjYfGjfexCTIAtO3Eprs7GhNkALj9WTZlXt/g7TRvOIMTNwDAV770FYqbf7yD4pNPf7ers2ANP6fuXOjNWocf5XPY91i+B+7v9UlRrl3E2xbaDmSD3fYDfMKNm//AWxQW3LHQlTnqXWyYe8/NnHjk/h6fMOTZSZzwYef92NS7ucSbK98T+N7qXdjrymy3NyfhiDbw1pJLlnLSDgC49SZO6rL7m15n/v0yV+eHf+RrcuBxJ7kyU4/l/n10Ht8jA3/0iUi2P5iTlwwu4v6+K8bUfs0Vv6T4gKNf68o8WuB74qK7H6H4yDd6P5gD3scJK66+nhNW2GRDAHDiG3kcTh/wiTD+9DCPj7O/8x2K3/BObwa9fCkntbj4Xm7/YadOdnXeft65FN/56+tdmc9fe6X7TAghtiakwRJCCCGEeB4yqYA545+bBM01fVbFtRWeeWot+IngKMOTme0RT/QVBrwmqMVoddJGf1LuWenqzAycYTid9pN29WF+QY6qXCeRanF1UOD2tkW+H7JmUrphDIwnxgjYUlWe1B0d5bZ0wbdlwTM8QVtZ4icOWrpZGzWYWM1tNRNcAHDR63iycm0/ZwY+/IzDXZ2E0Xp99Qo/YfimA7jeVy+5muKz38oTOQDw62s4W+3Zhx7qyty/5I8Uf+W4PSle+JCfyG7O4f4c6ueJ90fvZR0aABy7D0/oX3n7Da7MbjNZu7Vq0c0UT57sJ42qTZ7se12XX5AYCDxZk6jwBPMhe+/i6ixZxYsLb/8XnnS8+T4/GfWlM3lCdnjQLwC9o4vv8/9wJTa18a98LoQQQgghhBDiRaIXLCGEEEIIIYQYI7bIFsF61MS68nPLzKHDL11Xjc5pjVmWrgTf9EQ3LyEOjcZojSLWaU2ZNpPi3n6vkdhuButA+kyK0YGC1/fkulkL1TZ7uiuTqnC9NTU+x5D0KVLz2/Bxnq6yJqu97LUAA03+niy8TqultYPi9xz7JorX9vJWAsAvv77jvWdQPLmb064CwEPPsKFu6wyv7RrMcXuf7efvru23j6uzIsHfdff//YHic//9s74td3NbKiVvMt14gvU9eWOGO3kbf12nz2QT3jseYV1L6V6firUU8XaI0bV+7KYqXOaKy39Nccdk1jQBQImr4ML/vZji3vX+nPfci4+z1957ujI//g4bgW4zcRrFzcU+zeqU446geLvXsL7nyRgT4fJaPk6+4eeEsq2s/fvZdddRfOb7TnN19j+E9TAPPbGI4vQ9d7o6uxz9GorvfvQRV2bFOtbUbFvg7TPRTH7eAMC8O9msdf81fNG224l1cwCw+g9sTjy82t+frwncL6e9610UX/TZ812dZWt4S9PBr+V+GrfLbFfnjit5K0x2mk/vu98hx1Ncf4S1Uo/fxf0PAMXxrL085t18jJvv81rMGx8x424HnxJ4x/1Yx/fkw6ynuuVJv2VoylF8nxx61Nsp/vkPfuHqNLOsmXz7WV5LN30+t++XV/A9PWkX/3w8+GDeIlS8mreLzXvEP1/m7M7jY9eD/Faq6x7i837iHr5GbzzjZFdntzfylqZf/Yb1VNHdXs/29pPYfDs7w5tMX3b97e4zIYTYmtAKlhBCCCGEEEKMEUpyIYQQQgjxPIRqFYnVz604plLeEHhmglefk3Vvwps0CR/SST5Oa9onjUCJd9a0RbwLpR78LpqMMR+uVH2mzkLgxAypNNepFv2OmGads+S2t3qz2UTEK76VOseZtO+7qMrnlGxw23rTfj3g8KmcMGHKtt2uzH3z2PgWOe7fk3b3JrzpETZ/njL3IIo7E/5P57vu4UQT7znmKFcmVeMEJ986lzOC5sGr3gDw2n/nHRipqt/xNX4tt2fbKbyL5rHxnKQDAN5yLBvoXnU5Zz39wgePcXVaM7yz7Ih9/Y6MiTsbY+QN/N2FGmdVBoBCg3d+tK73Y/Wye3ml+4STT6T4R9/6satzwSc/QPEzD/LK+Mn7cPZjAFi3htu7zSQ/pjasiblHY9AKlhBCCCGEEEKMEVtIg5VAb+O52YpkzGxA3eiEyhXWJzWbfmaorY3TcYbgZ1bS7VxmfZFnSQo1r3ta3MtpUxM5nn1Jd/oZhWV97AUzO9fqyrQa36jhQZ6lamZ8WzIT2XNrZU8PxYUBngkAgF2MP9IBu3qNxDFHvJ6Pu5j348/aba6r89ZteWblZuMltHTU69kmzWKtzuIenwKzzfTn8j6eRTv19Pe4Or3LWWPw+/O+SPGtf2QdFAB05nmMbdfecGVyEfdv2vioJRPea21dP4+XsvFny8V4okUlPk6p1d8Tc3fci+LeEU5TumKlT8U6czprxNZHXGdC1qe+XdXDOpzDuye4MvnJfB2fMB46E2NSsS55mjVW03felgsErwe79w+cBvZjZ37IlRk+jHVCN83jtLBXXsuaLADIdbJec3DgSYqfecz7Su05lzU0p57ix+EVl7DGrfMB9gN701vf4ur0jvC99nOjY/nw+72/2akf4Hvvsu9835X59UU/pfiU97EG6/h3nunq3Hod9/fq9Tz+P3zu2a5O71qePZ//8JOuzNoB1i6+/0zuu95Vl7g6S5/mmcSLvv0Tit993gWuzn9dwAlz5/3+Lldmh7P4u9/x4X+l+Gtf/k9X57tf+l+KP/6ZL1B8/Dve6erc9ltOwfxv537Clfl/53+J4h4z03/bNTyWAQBFnhc95b08C/5/P/yBq/KbX3Nb3nKc9yg86pRjKb7iFzwj/Ml//bKr87GP/hvFrz2Bf39+/4ffujq1Cv9+nhDjOdef5GfxfVde48oIIcTLGa1gCSGEEEIIIcQYIQ2WEEIIIV4xhBDOBXAmgN0BXBZF0Zmb/duRAC4GsA2ABwCcGUXR8r95TETIbpbttVrx+qRMhnc41I2JMACEFO+cqJnjZGPmvRtp/lOtr8galUlZv1unERmtVMLrRjrNJpmRFNeJir5Oq8nw3N6SdmWKvbwLItHKOyV2gq+T331Xih/t40y6a4Z8ptRVQ9y/qwe9Fm3BGu6rmbtzltzrVvmMvbl2zhT92l7uqKdW+wyyu+3HOylq1bWuTKOTM6Nmy7yD6k8Fr007vJ/Hx9W33+fKvPX4/SguD3BfnXSUzxq66s57KT7r2CMoXtfHOjQAGBrH1y0T+d1b11x3C8VH7cIGwL+6+Q5X572ncdbqGy/xK99vO+xIim+7jHc0fOy0N7s6y1bwbd09lzMiD0d+B1IzzWM1n/H31s9vvc19FodWsIQQQgjxSmINgC8BoH2OIYQJAK4C8HkA3QAeBPBrV1sIIf5BtIIlhBBCiFcMURRdBQAhhP0AzNjsn94KYEEURZdv+vcLAPSGEHaKosgb8QkhxN/JFnnBilIpNLqfWyqtxyzTNTo5lWM9w0upjYavk5r4/7P35mF2XeWZ77vOPvNc86CSVBptWbLlETM5gJkhSRPoEKa+3bkhZOikM9yMnW4ugSTcG5I0T0MI8Q10CNiYyZjZgB0PeMSyLQ+aZ5VUKlWVajhVZz5nr/uHjaX3+3ZsAeo4Ft/vefw8Xkdrnb332muvU/sb3o/drzOzs6pPLWBxjHiJC+y6nE76n+2w2zkAu4vboXalFlazkEQl1IIVcwvsus6Ja1q/UsuHrrmIxSYufTG7hvc8oRPMu00+v/EhLTv56HZOxs8Lt2hvmcU1AOB//tVHqH3FS15E7dBrIZIP/SUni//un/5X1eeOb3IB0W/8wxepfeIBXcS2WuWQhPERXgvJiPkP6px47xo6vGBg4zi18yM8Dw8+qItkVkR1XxcX66Wu1+5r3sDu7V0H96s+VaEBEYhi2/EIgZblRQ7xcKkCtTMJPWZ+judhz4lp1WfHwcPULuT5Xr/8VezOB4Bb7mMZ23sfYaGAXIQoTWuahVKmD2u52UxWrLMqi4gsHdD7wNAFLP4xXOJnonVSi6987hMsJLFpoy7APNbP4h9H97LwyPKNLIULAMM1Pv90YZjad997mxoztIr3rbEhHVpydIbX9879fC65Xi2X63JiHmK8Xu55SP8NWlwtZHm3P6H6nGzw4v32wxxiUxrS55I4dZjaSYhi4g9ygWYAKI/wvLSPn1R9bruT12F5gNdCPKN/A8oZnoe7HryH2oWi3h+74rkf6BlQfe54hMN9nAi3yghRHQA4eZylnBN9LChT6tFhO6jyb8323VrEZdUGnoei2CvQ1gEvDz/BxYiTQnJ8OMdiMgDQFCJA37jtS6pPNqdDyM4RmwE8fdLe+6pz7sBTn6vF7Zx7D4D3AEA6rn/PDMMw/iXMg2UYhmEYxk8CeQAz4rNFAIWIvvDeXwfgOgDoL2T9iqHTL/D1CINcIuAXQ9/RL4qdOr/sZpP8Z1jSR2RuCANntclGpFxKG1hqNTYuxJrasJfM8WX3d/h7Gr2sugwAuThfd6lQVn3e8O+5RtGWDXz+e/azcioA3P0Y58s8dIr7rDimjSU//RusQBmMauNCpsM5VheNcO2m23azsQQAymNsyP5yk40uY0OcLwYAV9XYsPrPR7Qq7svW8Hx+/J/Y4PYb79XKtDu++nlqX/PyK1Wf5gIv6UfafK8Ha9oAFF/N1zAZsoFz2+R2NWZTZpzat972FdXnmmu5/tcNN7MC6KteqY2vd91+C7W3vPZ1qs/hGTbMXPu6N1PbJfXrzMldbJBNvuByan/ma3xcAHjTK19N7Y9cf4Pq89qfeT1/8OWHVB/AcrAMwzAMw/jJYBlAUXxWBLAU0dcwDONHxl6wDMMwDMP4SWAHgKdje51zOQDrnvrcMAzjnPGchAjGggDZ8mkj0syMdv0WHbtbM6JA8IkTekyyLuQ2cynV58CRw9RetY5zpRJalRRzTc7/ysbZjT62VhRMBTBx7Di1W3OLqs/V6zdS++gBzpHoj+vwgl9607+n9o7DPGbn7bqw5s+/7eepvTivc1I+8jcfpvYN17PrOhHX+TF3CqnKmOecg3e8/e1qTOsIu7Lf987/rPoMi1y6C8YuoPbjD2h3bF7YJIMWy6y25rSB8vINnON2aFlf48ElDodIeF533aS+R80aj3nZNa+g9qkTuhj0fY8+TO3KkpaOre/hvKC3vv6lfC5DOp8qP8zr+/4HHqT2gT171JhkifM+tj1wl+pTWeT1vO5KDjc4UtFrDCI/ozrPuYGvevlPqSHHd3KOx/U33aj6rN56NbUXDvKxww36Hq2/gIsnH53hNXZ0jw5huWgzh4ls2LxK9dl7mPOPpkSh3vycDmFZU+Lcl6l9fM2NQb13eLF1b3zBJtVn57e4uPaBI3xuw0M6tKd3iJ8B3+a1uu37Oh/smtdyuMTgWh1tNTPPz/3u3Zw/dcUGnn8AcAe5HW9xWFTcafvgyAbOB9sl9nsAOL6DU22aG3jTv/zlnEsKANvuupPauQSvqZyO0MKWl15M7Yfu1jljxUnOp1q5Yoza7QvXqzGVCt+T2cM8UT9zDe8LAHDjP7Kk8eBFunj1eJbz4C58A//WfPqLn1VjRmJ8T/JFzgfrrNTHOTHJ+aVXXaz7tEs8oXrVPTPOuTie/PsmABA459IAOgC+DOBDzrm3APgGgPcCeMwELgzDONeYB8swDMMwjPOJ/wagDuCPALzrqf//b977GQBvAfDnAOYBXA3gbc/VSRqGcf5iIheGYRiGYZw3eO/fB+B9/8K/3QpAu82eBRdzSGVOe9ZqMZnKBfgWJ+K3IpRdu569xJMh27l7+1iJFAB8jT2F7TYLKMT6tEJlscze0JNTWjlyPsHXMDjA3ufffJMWG9g/x0Vs1w/pY7d7+Bq/KpRp/+5+jrwBgIlH2LO5usVCDb0Xb1FjPvbhv6b2m3/9V1WfTStGqP0Pf85jXvPmn1Njqvs4gmRXlyOSNl7DRYUB4CO3303tn96gvc87O3zfrv6T36f2o49pR+rxy7gI75q2jg55fJIjvK68agO17/rqN9SYt//cW6n9mY9zdMjPvUMIOQB44H6OtHn5L/+R6nNiB/ubC69/J7VbS7oA874+jhpYNawjGrY19lLbN3mNffuojmp7/WaOirnuq3yP/q9f5vkHgNu/zsIXF7z2P6g+vf0r1GdRmAfLMAzDMAzDMAzjHHFWL1jOuc8450445yrOub3OuXef8W+vdM7tds7VnHO3O+dWP9N3GYZhGIZhGIZhnK+cbYjgBwH8kve+6Zy7EMAdzrlHABwBcBOAdwP4GoAPAPgcgBc+05c5HyLebjzdTntdL6B1igvHlkfYbb62n5PUAWDPHnYxrxzTRQ5XpdmtOPXYY9R+4SWXqTHlIrvRD+3mBPhWShemzFTYxdw8Nqn6dISYQ6fAhQw//y3t1h1cNU7tuRof55s363TguToncQ8UdKHhuQUOZfjQhz9J7eVaAxKf5IT93XsmqP3hv/q4GtMniqh2GlrMIR9ygnNHHHugpZVI8ossipIu8D07qW8RZkWiOvq1yEUgSp3MHuEE88su0fUwTiyzKMFtt7OwRF9Wiy4kuhwC8h9eeanqMzl7mNpTszzfe6eX1ZjKHg7FGBJiJVdu0EINxSJvC1MLuujupCiiuudxfiZ2Pa5DHZoizGVsiN3sM7pMC1wv37jJh3QB5vEhfrZesYXFY+594AE1ppvk9TK8QgjVnOIwGAA4fAcLpfQmdHHcgihknpjne5KMsfgKAPQOcljOun6uWbLzXi2OkG/wuhu84GLVZy04bGThIRbPWP8ivddt8CxwMnOU9+ElrwU3amv4nlwq5xLAvglehzP3875bjemfolW9vMdP7OCi3vOHOWQEAC68nJ+bq7ZepfrsvZPDXAqDfI8yg1r8Y8NaDrm578vfpvbLX6WFJRK9/Jz35/UmtOtb36H21ne+g9pHHT8zAHBqkgutp7q8H0639ZhNQ/xb+PAt31F9cIjFMoo9LFiRDfXv9Pe/eBO1N7/4JdROR9Smic1zGN0tX9LiGe/4LR3qZRiG8XzirF6wvPdnSpj6p/5bB+AKADu8918AAOfc+wDMOucuNFUewzAMwzDOB6rNEA8cPv0yni9pQ1k7xkaXoKjlJfti/KI6mGSjxkloS1N+nI1Rjxxjo8Zggg1GAFAAWwd/98/+TPU5KQy/o2s5AGl2hlVQAaCT5j8bK1doI8bsETZQ9W3gF/z6LX+lxowPskFoeJxzp26/l1VRAWDzJRdR+yv/dJPq40M2asXqbLA9NqVzgnbffh+1X/u+36T2nXeyqigAvHCU5266L6P6fOPme6m9NcHGtZNz2ng8tIZz6f750SOqz/oL2cCzTahwx17BeVAAcGuc72PpV/8TtR8J9PruvpaNZ9ua2uhyso/znqqn2BA87Vi9GQAaOQ6m+/h9j6o+r3oNqwX/3Te5gPGLXsTGHQD44sHD1N78whdQ+8tLOm/r2Go2Vg70azXyHc1AfRbFWedgOec+5pyrAdgN4ASAbwLYDODpmfDeVwEceOpzOf49zrltzrlt3QgLm2EYhmEYhmEYxvOds37B8t7/OoACgGvwZFhgE0AegIwZWXyqnxx/nff+Su/9lYEMzTIMwzAMwzAMwzj0YjoHAAAgAElEQVQP+KFk2r33XQB3O+feBeDXACwDkFqlRQC6qusZxMIQ+cbp4r3NVkv1acxynPayKDLZbWjXZKrGruD0opazDJp8rF5x7MkntqsxTrhK+zy78Jf367yQhOOpLUd4FA89+gi1l0QOVjmiiO0nP/q31JaeyvUrtcTrjofZtZ6P6e9dNcT5VHd+9yvU7u3VeVtDohjk4hy7rps1HR4RA7vAWxErsNvmws5dsEt/5RqdW3dyiguZjoicvUKfzquYa7Mbfd/OQ6rPSlFEulzm77n9fnb5A0C2l6+7p8C5F66jPbi9Zb4na9bpHMNVG/l7Zpb5e5a3a+nbkUSO2qUEn1vZ6ecoIwpptyLW4Uib72M+xevDq20BaNVOUbsp2tuf0LlGThQPL/TrPJaUSJ2rN3n7GVur7/1omW1Aux7n+5gt67U7WuRQjXvvukP16enl711f4PCCyQNc7BcAUhm+B+0O5wQVc/ohWZji/XHnol6HGRGKlCzwPbvntq+rMcM9HOYyWOJ94aTIswSAe+/4KrUv3bxV9Zma5j1yYJRv2iMP3KHG+Bjnoo0P8LmcmNKhMju+x4XWt1xyieqzsoe/5+g2ztFzcZ0XujjJazUris/vv59DigAgu5ZzmNrTOhTpkmF+zr/5hU/xdwzrPL/1fRxK9dgTfOyFeS0hvLGf98P5OR32Mj/B8xmKvSEW1/tWX4b3hiP7dlB7rsrFxAHgivUcIvTIrp2qzyf/9sPqM8MwjOcTP6pMexxP5mDtAPD0r6lzLnfG54ZhGIZhGIZhGD9RPKsHyzk3COBaAF/Hk9XQXwXg7U/9dx+ADznn3gLgGwDeC+AxE7gwDMMwDON8oZtMorLytIe3mdBe7kyCPbNzdR3MsxBnr59fZm9oea1Wdk3V2Jt47RpWtfztP/hdNebRHayWefj4YdVn6zoWifj2vewN3bRSCxLM51m84cb/8gHVp1pl9dGRORYTGFilBSDyIxxpUBGRQ9dcc60aMyHUXteV9J+0mX4WLbj/5P3U3nNCC3ls2swyAtf9/l9Q+6L1rFQLANNbWFn36zfqqILX/ewrqb3tmzdQ+4IXvkKNufXG66m9oltSfe6ufIvapayYh6y+jzd+lu/1T72WRSK23arP//KrLqf27kceU31WXMBr6uRRLnBdHtAe9qDDz0ChpCNgbvz27dQuxdm7v207KxkDQMlz1MbBFkcipI9wGwCWhELy9q9rD/vaC/R8RnE2HiyPJ8MBjwGYB/BXAH7be/9V7/0MgLcA+POn/u1qAG87qyMbhmEYhmEYhmGcZzyrB+upl6iXPcO/3wrgwh/moJ1mE9P7T9cwKfbqOHMn8nCqM8eonfE6L6QAjhGvzETUWMpz/HpCvDl3W1ruNJdha8v8Eut6FHL6bds5fnf10HlmmRRbwPwiW7u8PhWUxLkEWbaYLZ3SspMre3hMItD1nk7Ncb7a1nX8hj4xoXMvBkc4JyVc5vMfLGtLS7vLlrjqUkX1uVhYh+7bzhYnn9I1ucICX9P+KV4v8aoekw74/Fb26Po9tVN8rxNZzl0YWjOuxqTiPA9DBT7O7LyW4e3G+PzmluZUn+HVXENsrIfzfUb26JzDS7awLOmxea6hs9TgeQKAdIqfkVQ3r/pc0cvX1G7wvLRCnUOWy3BOSnVJ1EbSJZYQJvm+ZlI6Z+zAlKiHFPKD013WD1J9mu+Ra/PzmRnQuV4uw58tRNTv21RkK2yXjWE4VuHcKQAo9vA+sPcY1x1rlvXzumkjW7CPPLRH9VmO8YS+4GqWUz42oSc8kea9IilyyGJJvXZXj3Cu1MK0rptWi/G4nhUjooeWJ95/6Di1r1jHuV2pAq8nAHh4P9dyQhBRY7HMP3sZz3mKxZy2O+6vsKW8t4/3/Csjaop99567qZ2La6v9yCbOeTv4IMtmd+r6N2x4mPOpDub4HvWt0M/esvhdm6rp/eXSLXwNix3OaZ5a0HvFJVezPPTOfZzH5es6B8sVxBobjsirbPIzcRD6fA3DMP4t86PmYBmGYRiGYRiGYRiCH0pF0DAMwzAM4yeNwIcot09HGgRp7Vnu1tjjmKtpD2S5xJEH1RT/GdY6yt5SAOgkWC74fuElvuFGXWD3bqGOOVDQSsDfaN9B7b27WO2zNx+hBjvHOUvZgvY+p7J8jbMJ9lIuBXpeUOVrPLHM3ly3oHOl3vFWDq6aWtZe+Uf3suba5WuEGumhx9WYL8/yvW3WOMJkRjvysW3bXdQuh/rP64fuYeXo1gTnAM0ktIo1dvN1924ZU112PM6FeQcu4LyzhUnOxwOADZ7DK2p7WTrh0hUDakx1L59frqU91J3jHJnSL9Sa422dlzglClOnNujohPrDfH5rrrqG2tsjlFybwxwpcUzkIRZ79HE6IkqpmNT3sXdERyNEYR4swzAMwzAMwzCMc4S9YBmGYRiGYRiGYZwjnpMQQYcQifC0azGAdjOizS7klKgm2p/jxGQAmBKCBL3lYdXn8MRhal9y4QXUPnhcizmUcuzerjU5+TcR0y7ynBDTmDulxRyGNnCC8xMPsft4fKPWDjl4iBONx8ucYO4GdRHejpCKHRnTSdAn5thFmy3z+SfndSJymOD383SG70m1pu+rFBnpVLS7+NQECwH097MIyqlJLioMAEGbxQXySU6SzpZ0OEe9y0Ipma4WTilnOWwhENKgC15L9RaE8EjK8fcWe/Vx2nUOQTg+q0MomgHPVSbB665Y13EL+27jMJFgA4d8LAYs8gIAM8c5bGFlXssGb1jPUqxzR/h8J6GFJUoD/Nn6GEvhHpzUhUyrovhpuqSf+6oQt4mF7OKvx7SwxHyT12ZpZBO1Q/1IY98BFlDIpLQ4T8XzljovQii6PfrZ23GMhWlqoVgfCf3sfe+ee6jdntPrZd0GDo+47S5eC8sLuvr5qjKHjcw2uehxdnClGhNbFqE9c1r6dqCfpXmnj/F+2OUtFQCQH+W9bG+Fxyw19Z7qVvD6+P5OXdh5ocv71nCB96S9x1hcAwBiOX6mQ1GsfdtuLTJSD0XB7o6e7zv38poK+jhkJWgLlRQAB/fzXp1M8t538IgWu6kt8f6Siii8PrHIoUjdNt+U3kG9du/ewaFJpSSv1YGMDqW5/1GWdl4O9J8hg04/54ZhGM8nLAfLMAzDMAzjGfDtFtqTp1VYl+o7VJ9BYfhtef1SHdTZAJRusYJpt6Nfqv0gG8Z6ltgwdueXvqTG1LoiH2xI52B1HRu9+tL8vb6jjV5rxzk358TyEdVnYoa/J+v4mlNxbfCs1HlMf4ENIUtD2riTLLERYyxCCTib4M+m5jiX55pNrLQLaINhcoiNdAcntSpxvclzWU9og2fyBBvTAqFMO39Uz2VvmZVQp+Z0nlZfiQ0z2+64k9oXXaLrdjW7nMc3tYfVeMOOVg/OlIRiaYSS7vJxrkeVLLGBtjutDUDVCc63K/dH1Elbwdd4+91c+2vTkM4Zm6ocpvZgktfU/CKrKgNAOS7Ur+M6D/HmGz+nPovCQgQNwzAMwzAMwzDOEfaCZRiGYRiGYRiGcY54TkIEY0GAfM9p92Miqd/zSqPsDlyuc6HBZJ9223WWOSa/3KNdnPF5dtm3MjwFqSjp1Ri7yQvie+crEcUUA3YPLwc6qePoMXYHuxF2TU5UdNHgRJrPf0YUouy29XGaXXbr4pguBBqKXKIDh9hlW63qQskenJ+xKAolLy3p/J7hUc4ZS/amVJ99Fc4FKJc57CKW12EXDZF/1NfP+QJhR+cEpbo8xjmd6xKIQ4UxXquFuM6nqld4fl2W+7iYHiNTFXY8flj1mb7t+9S+fOM4tdeMcxsAyuOcJ3Txa7iA9H33afnW2x95iNqVjfr5vO0+Xh99SQ7DmPH63u87yc9w0fGaa1R1rtRgke/jfEWHJOw/xbkiybwoThzTBa+7QqK2uijWQkvn92wQOUG1hk4cmlnia2hlOPcoiJA99l1+tlIityjW0decyfL59xd07uVFL7qSv3cHy+c2YzrfNBXyPEy2eC7jRc4bBYAWOOcqV9B7aCPgZ3jmFO8dl0bkheZneB4mK5xjO3bRFjXGLfOaqjmd45ks8kNdPcr7bLytw3/GSxyedOwo7/mxTkQR4VUcsrJc1/maPsfzferkIWonGvpcVg9woeG5U5yTWuzTuYGDg/wMdDt67aZEgfGT05zvu7jAzzwAbBnl8J9TM/y9S129FspDvFYzOiIOeS/3Yh2OZxiG8W8Z82AZhmEYhmEYhmGcI0zkwjAMwzAM4xlwgUOydDr6IBah7pkss4c629XuuYaIbul2OAqlFugIhwUR7SJq8iLZ0aqLMpqlExG50hZqrxvXraf2zl271JhWwJ7YoKMVKXtLfIJdzx7eIKsjSkbEn6O1Xi5WvD4iWuTYTvaet1snVJ9r3ng5tY8+yB7eY157uSs93KfV4CiDC7M6QmMxztEhR7palKNTYq/81UmOKji+qIUxjmb5e+Mtfewriuw5XvmiS6hdhlZG3TPPa7UtxB1aXkd+bMmzgEVlWd+TE0VeQy0RdVJsaa/8q6+4itqPHdN9jnc5aqBvhL3nW/q0yMVClQU1plu87uZ69HNzUcBiMLuq+lwywbj4JNrDbh4swzAMwzAMwzCMc8Rz48FyDt3E6TffZEZbgppLHKPfarI15vhR/UaejLHVZM+ElmAsiLpR+w9xHoJz2uK0PMtWEnkcOB1nfnSO35yLTucNyVo7PhDvuxE1UAKwxWC+ytavdIT8qRPHnl3U8ffZPFtsEnE+diGr38U3XcC1kA7s20/tUl5LvIZdtiCECW0lGRwT9WOEfGsuwZYtACim+HzrImesWtN5LD39vBbaWX2+rSZb3nrafP7FpJ7LQym2ePSMsaUlH2GJSwjJ1DCvZVWvfcGl1G5UuR5OpcHPDACEbc5llGkUuWWdF/Ku111L7WNJnQt4bGYdtbOiPlgmrusydUJem4ka599NH9d5T1tHeW9YbOl16PNj/L09bDnMhpzTBwAtMVexNOcAnXyC890A4Nq1fI3HF/X2eazB89kuspUwiHg+Q2GRTDbEmDkt3XupWAu7Hn9M9cnV+GaPl3l9b9jMNQABYM8+vgdhhq159bie/3wozr+p9618mu9RKPIzLxjT31sp8z3JdsRantJ7qp/nPL94RN20QbF/h6PcpyfUVuTLVvN6T4r6cS6lr3n/LP+2ZFJaJruyyHllF2/YQO3Ofq6TBQAv2Mz1Eduiix/S+WzHDvBayMT0uUzMi1y69WLf0ilYuGyU8+D2tPiaw0FtVd63wL+NPdDPBCJyzwzDMJ5PmAfLMAzDMAzDMAzjHGE5WIZhGIZhGM9EFzhTODfvtXJkAPbKHz2mc4IyGY7aWF9mVcj5uvbedbPsGa87jtBY0895LwCwf5ojHFIRas2jRfbWJj17sLeuZc8zAJyM8bHTTkdBjGaHqb3YZoXKCMFejIhcqEMZjhgox7VCcrHIXm2pbAwAyZAPli9upXZfXOc0lXo5r6yxwH8qD9V1REzvEt/XTlkru7ZqfA9GQ45WcAWtAJoocaRB6LXycn+4h9rr1/GxJ49rT/7KBHuxpzzPb6IaUWjYscfdjfWpPlcUOfqmIaKuZo99R40ZLQoF0w167gbF98TAOVmpiPWxdvQyagcVjmo72tRu+WKbn+vhko5OWLOS+3zvHtXlqXM0DMMwDMMwDMMwzgn2gmUYhmEYhmEYhnGOeE5CBLudEEtnFAeNdXWycjpkt1w6ye7MrtcuWikSsVTVBYDby+yGLvSwi7MV0wnOqZC/JyO1EJLa370ccqehok729UIitRvndiGub0+ph+dh2xHOcC5EFEouFdj9GhUqsLzACc5FUazVhVqYobPECeVosnt+/ZguSrqwxCEItUCHF2ST7OpNi6Tz9oIuSLthLUuZTk1xeEQwpMU0Yhm+piCjpWOP1dglPjDM66U3pcNElkQISA28vutzWjQiLorJ1mo6TOSijRxKsjTF7u2G0yIRJ2YfpfaWi/ma5ya1AERPjiVe+3q1672R4HP59i23UjsbaCGSVpXnsr/Ec3nxRVyUFwCGMiyW0bsU8az1cTjHzpM8v/Wmnm8X4/lN9fB+s3GdDn0YFRETrqCFApYqHIrxvT3i+YxHCB3U+b6tFM/eT63Wcr/9ZZ7fRkcLtGTEfphL8bOWTOt9d+VKfmaTBQ5PueNxXZg6n+NrXpg6pPqMb2UZ3laOQzUyTj9HrodDkcZzfG7bH9+rxsSEuEqrrZ/p3g6H4RRGeP3EZ3WYkQxhOZDjucwXdNjOMbHXFYt6D0q1+HkcH2UxjV37tMBJKsfnMr6Wx+yvaYGZao2f4dKwfqYTojh4bz9fY+W4LjZfzPJazY3wNc6m9JgesVT7I37LZ7wWDzIMw3g+YR4swzAMwzAMwzCMc4SJXBiGYRiGYTwDQTJAcfS0KEG5X3u54x1RpiEiQqOnhxP4QxH5UUrqaJcgYI97uswe30SoPftre9hLGSCiBM30DI/ZsonaC06fS7rCJUUGC/oa5yocGbGyIKKA4npMLcnez6vb7O2fDLU39DFRI3hlVkcrHF3gY2Uu4uiLdcv6Go+FHG2xboijaJYqWlRkfYnLI1wFXdh5scuiIT7BayhW0cISazLsxT7V1n6RsOcl1J47wYVvT6b0n/pbNo5T+2rHXuOjde39b3euoPbqQS1GUerndbdngtfmplU/o78XfN9emYgo8VPnuao79nxX03pNhSKoZ3OBz39rd7Ma80SNS0BdVNLPVkSgWCTmwTIMwzAMwzAMwzhHPCceLBdziKdOx6yn4jr+PubZWpEU0pSLVWG6ADC8gi0TraaWSHUiJj8TsMUgHpGDlfD8Hrp+dITaUbKq7SzH1jci8sF6RO7CbJ1zmhIRBWmHRM5Y/gTn4fTltAUkFPlg8ba2DhSExOVYD7+1d9r6GrNZXj6NXj52LqOXV3WZ5zcbIYEJYYhIpXmeshmd3+PS/FlC5FMtaSVW9PbwfQwjcphWr+Lcrvocr6luSudeLFZ4rvr72GrVV9SFQPPgeWnGtGXo4HEu4rlm4+XUznl9/hddwYVLR9bw+bqOXi9LDT72/KJeL7PLnEPzsz//JmqXW/reN5bYMlQV1t1D+x9XYwZzwroY0987Pcc5eZdfdiW1OzUtxRp68Tw6nocjDz+gxpwoc67OnNPzkkrzXvHGV72U2vGWtnqHCb4nrRaf7/7Htqsxrpefz5HNL1Z9Lrqa86cOHef9JdBbHWZ2H6P24hJboq/ewgWOASA9x1bw1b06Z6wVsHXaN/nehxEW7VNdvteP7eFn75qX/LQagwZbQhfTer2kPEtIf/+JW6g9FpFbd7jF1uh9C+x1uKhPy1mvu/xiavtQ73VlsZ53799J7aWEHjPT5t/Gwye5cG9mFT/zAPD6N7+C2rW5o6rP5SIH+KjIXcwm9F6x7Pn8Okn+zeor6f1xdYnXQrym88HWrOM9/557H1R9DMMw/i1jHizDMAzDMM4bnHMp59wnnHNHnHNLzrntzrnXn/Hvr3TO7XbO1ZxztzvntCKTYRjGj4HlYBmGYRiGcT4RBzAB4GUAjgJ4A4DPO+cuxpPlgm8C8G4AXwPwAQCfA/DCZ/rCfCaNl1xy2js4o4M6kEiwl3vVihHVp93g3JFEhr3a3Yb+s2yxy17KnFDAjXk9JpFmL3cyIh8sCNgberTJHslhpy8yiPP5t+rayxqk2NuZLQivZagjkJIhey1jIpQlvsR5UQBwaYmVUCeXdHJMLiNyrkTEVL2kc42OTnNETKmHfRFjqzmXBwAeOcHe/1Q9opqyuKZWnc9l0HGUCgDEA/6edFXPd32R14dr8ry8aRNHdQDA9DJHHsyIlLFihNp0IceFkVes1td403c5UuVYlduTB7RycSLJ6yERETG12OHziTkOwYhH+YuE1/3uGT72m3+Wo4AA4DKhhLpQ1Sqn8Yji2lHYC5ZhGIZhGOcN3vsqgPed8dHXnXOHAFwBoA/ADu/9FwDAOfc+ALPOuQu997v/tc/VMIzzEwsRNAzDMAzjvMU5NwRgI4AdADYDeLpA4FMvYwee+twwDOOc8Jx4sDyA9hkZ1u2sPo3Qc+Jrp8nvgkFOu4J7yuxq33fwuOoTJPh7+gc5oTnT1Znf8S4n6naE5GXXa3dhs8Lu7JVrx1WfdMiuxyAm3OoRbshai6U0k0KUI+zqIpMrx7mAq+voIo7dFrvnGx12mzfaOhF54wUs6Torcv6PL+pzyfUMUjtb6FF9+oc4Cb3ZYvdxN8J9XBUFOyue290Ij261zUIHMR8hntFmdYyeHj7f2aYWOtgkksxrLZ5Ll9XJ4ofmWIAgq3PDUe9yaMBj995J7cu2siAHABw6zgIJPYOcarBnlsMaAOD6L99D7Te/QgsovPAKvu7pNscXdGt6XtaPiCLHce6T9lwwFQASYn10C9pdf8UQr4dGRxSxHeawHQCoNXj/CDscKlN+IRdbBoCwxN+T0csbhRwX2S0MCPGSBS12MyO0SZwo7LzqpdeqMV+75W4ec0oLeWy6lIUXdk6wSMSDd+1RY/7wF3+T2nsn91F7qaWL8F64gveX/bNzqk9xiPfMsTdwNFY2redlDLxe+ldwOI3v6n1gOS4KSLf0s1ZZ5vCZi8dfyeea1AIQiSTv5298PYfc1Kf1mOW02GeT+lyKDV53gy/iPRX5C9WYygwXhV99Ge83+2u6gPSOBS68Pp6J+P2M8SbZm+XfhC2vu0iNWZrjh6BfFP3eMKTFeiqiCHzxQv0bkI5HbIA/Is65BIDrAXzKe7/bOZcHMCO6LQJQPwDOufcAeA8AFAtRIV+GYRjRWIigYRiGYRjnHc65GIBPA2gB+I2nPl4GUBRdiwBUYpD3/joA1wHAwECfP1k/baDddv+jsjtcUigid7ThoCNsRPMLnBfiYvoFuSnytnJZNtz84jvepcbMLvCfd8mWNk71DLKibVwYi8M5VrUEgFaCXzRLPav0+dbYqPi/PvkFahfT+mV1UczDO3/69dSOJXXuUXWJjXS1k9q4c+g7fJ9WvZiNFoVxreq7Ks+Gj/oCG0cWTj6mxnzkw39HbR+h0oou31snDOR/9Qe/o4ZMH2ZbwMo1a1Wf6gIbeB7dwYbT0uataoxv83xuuJyNIQ88wYYQAOhfxfMyNadz6e667SvUDh0bYTI5bVCpzLIxKh2PqPUV8meVZT72fIXVhAGgLJR/E+KV57OfYYMoAHzwz36PP+jX665wlgYgCxE0DMMwDOO8wjnnAHwCwBCAt3jvf/DX+A4AW8/olwOw7qnPDcMwzgn2gmUYhmEYxvnG3wHYBOBnvPdnxnp/GcAW59xbnHNpAO8F8JgJXBiGcS55TkIE4/EAQ/2npRCLZe0uLvdzscpujV2pyaR20XVa7C4e36BzUuoNUQR2kPO2nI945xQ5QDGwy7C3V7s8E30i3j6p3f4JUVxzVMxDva7DC+oLfP6vfM3LqL28xPH5AIBQfk9OdQlE/P2JaXZLH5ziopMAUBDx9xMiLGB+UZ//z76U83nmD+5Xffw8u4tXruJ7tFTXBaTbovhmrsRzWSzqJCzv+Xy9yIcAgFyB82FqSc5dmJ3Vazfv+V6vLXNo/2Soc+Aay5zrlUvOqz5pkTcRX+BnoJjRz0RJFvp0fJxLf+oFaszn7uT7lsF61We0dITaoZDYbUXkx6RSHKIymOV2flTP5VyTn/uLx4ZVn0SDwyPyojD1xLR+plNDLJ+cSnJukU/o5/XwKV4v3VRJ9ekp89pMZjh3Zz4iZKiQEntdScjP9ugitv6feV1evGmL6uMC3t5H14vjPHhYjYmXOe9pVZrXT6Ohi8Kv6hGFeZO6QLoX31vvcOJZt633pITI0Vs1xqE8pX6dF3qyw+c7v29W9Vmxmvfr1gLv7/0DuiRSG7zGaou8z266VMtxz4s81sUF/XyuEpLAdcfPxNG6ljQeGOf7GCTFOqzo/MdmyM9WLKJ4+FCB5axT4hm+a+/31ZjeMb7uhAjjaZ7Sx0l6nofKSR3aU839ePlOT9W1+hUATQBTTzqzAAC/4r2/3jn3FgAfBfAZAA8AeNuPdUDDMAyB5WAZhmEYhnHe4L0/AkAnT5z+91sBaAURwzCMc4S9YBmGYRiGYTwDjVYLB46cFg84MqG9o6UEv9O1YtqD1xUKt60mewozWam/ASTi7NX2TfZ0bn/wcTVmdC2rshZKWsUy1hCFWL92C7Vf/9Y36TFV9qp++Us36fMVBWk7QtljuRohSCAigb55513UlhEcAPBL72TH46lZ/b0n9nOUTPqVXFzWZdkjDAAHHryV2pMHOBJh54QW/1gzMMDnMq2jUNodXg/NJkc0/LeP/rUa0xDROX/ynneqPuU1fK+P38yRFBPHtcqpG+WIgBv+/hvUfvBhjlIBgNGciAAb61V9tgjF2JaKmNKRB0GeI4waXf3cdDzPVbdHeMKXtNd7eZlFT5a7fGwX6kiVv/ybj1N76qhWWu7Ezi676ofKwXLObXDONZxznznjs3c4544456rOuZudc3rGDcMwDMMwDMMwfgL4YT1YfwvgwR80nHObAfw9gDcCeBhPypl+DM8Sz5zPpnH1JafrfbTrOl9jUdQOWlhga1F5iGuvAEC6wG/Kq0raEpRK8CUvL4pjd/Xbdc8wWyYadbYo5Mta5rMprA5zEblRqRy/36YzfG7pvLbYeFGPKnR8nGyffotPtdiqFkvrfKR4wLkVSw3OEwoi8ntSObZ+bdy4kdqHcFCN8cJa5yOWYDrF59cSUqzxuM55O7XM89vTx/csW9D5Ml7cozCva/wkumxtTHpRL6yhrVRBgecqBr6e+BJbwwBgY5bvdcJpC84y2Iq5YpAtb81GxHoRkr9+meuQhV0ts3pRD39WC7Ulq9VhO0rY5XnpFvT5uzyff2+Wz2XfYZ1bVwNf08GEzu0UjbwAACAASURBVAFyLc6ZSXX4njVKeo11Q34mcp73ilZdn389zeffiaghls3wOsvlOX9K5tgAAESNv1KL20uL2lK+YSXnJc5MaLlZ32T55BFhJbxsk963fIwtfrEU51m2W3r+Z4RVtlPQOYa9Sd6XxnKcu1Np6lyjeWFdfGAn7yeZiH1g/hSvocmlCC/DAF/D5AE+djfUBc5Sab5vMlc30dF1yGTdunpEfm9Q4z0oluG1247p3yMIue2MyAtFQv8GeJEbtXhqQvV5IOR9KxDz8O/efI0aU0jz+dXF8i7GdZReTehX9yMi3yqn92vDMIznE2f9guWcexuABQD3Ak9nvb8TwNe893c91ee/A9jlnCt47/VfboZhGIZhGIZhGOcxZ/WC5ZwrAng/gGsBvPuMf9qMJ1+4AADe+wPOuRaAjQAeOofnaRiGYRiG8ZxQX67h8fu2Pd1OdrV3Li7UD4Ou6oJOKCInQvYCdpe0NzdbZI+vE4V6H9n1sBpz8Ch7tRuhtnm/+dVvpbYXOWOVlr6A+x/gfK9cWud2LcyxJzwN/t5CSo8JPM9n17HHfWZZK7B++vM3Uzub0F7idXH28H76U9+idsVvgyR0HJmyaQsX4X2wrqOAVoxyRMbMKR0Rk+3nwrdFobjqWxGRTkJ18/0f+LTqc/lLuJDwBqHgvH+njrb46vUPUnvtMEcebHipVlOd2Mff25nT9ySb52iQwVGOGDh+TK/DyjxHyaxYtU71iYsInqpSrdaRNtkyR3FsLnNUxMycjp4bEBEOlWmtoL1QiaoirTnbHKwPAPiE917epTwAGe+0CKAgPoNz7j3OuW3OuW31CDlswzAMwzAMwzCM5zvP6sFyzl0K4FUALov452UAMtGpCEC9onrvr8OTOVoY7C+f3eufYRiGYRiGYRjG84izCRF8OYBxAEefKtaXBxA45y4CcAuAp32Tzrm1AFIA9j7TF4Y+RK11OoF2bGRQ9YkJz50UZij168KOCbC7damiBQhKBXZNJ7vsxItHCEAkMtwnFmc3YxBRbuOMwoYAgEIsotCtmP1UwOc/c0onaAfiUMU8iwsstrVMaWuZnYy5hD6XZVE4s5xjt/TFG8fVGDT5e4/v30ft3kALY+RE0eZ6hABBJsMezvqyKPQcVw5SlHs44f2f7/ken2pNu4JzKXF+nYj3fiFostzhcI5MQRdI3fL611J77y6Olu2ktDRox/Fnl6zRxX3roRB+OcaJ9bfeztcMAH/8wT+i9j9+8DPULuW0IMH73/tb1D42q5+jPiGmsncbS+EutvV8N2qcAT9zmF3v7/gDPi4A/Mmf/wW1P/l3n1R9BgdY7KPe4HAUH2ihACc+awvZ41hXrwUnBHA+9Mc/r/rcdx+H5czOCQGIsi6UPCaEDYJZfo6WU1pi9xVbOPTh0zseVX2mDnL4xhtexTayC1/NYS8AcGKS7/XwWg4TeWT7ATXmUMD7Y7elQ0BqYg8q5XktTx/XPxm//0e/TO2v3szyuXd/X4f2ZIRATixCTjfmeG0mAt5PXMT+0lnkAt0tx3NbSuvjdEVoEjo63Korwl7aQs7axyJKOYXcpw3eo9pdfZxSls+vldH7bqfB+2Frie/jta/Qe9K69VxK6oN/z/vL6tENakwmxde06+g+1Wf+hNlgDcN4fnM2L1jXAbjxjPbv4ckXrl8DMAjgPufcNXhSRfD9AG4ygQvDMAzDMAzDMH4SedYXLO99DcDTZm7n3DKAhvd+BsCMc+5XAVwPoA/ArQB+8X/TuRqGYRiGYfyr45xDEDvtbU4ndPRCvijKnSxoW/NAH5dYqNdEAdW4LhOQT/OxQlFFYmBACxJUPXtQOwvaK3jLd75C7XKX5fHv/A6LSADAQosPXkprmf3aAntMc0kWd4hDe1mTcfY+y5IWsa7O3Q+ronxCQf9JWxAe3lCIRmT6OIIAABbjojRMwFFWPSUdKTTWx9d4IqNLWhTK3Ccvollai1o0oivK+TRO6hIigefvCUUJmmROR5QUy3zdzTbPfw56XkZLfJxsXEcpdYWIS1NEg6TTel46SVH2wun1kQp4PYeOn61CoO/9cIEzmIoljkKptLTYigdHcxV69ffWzlJH4oetgwXv/ftE+wYAN/yw32MYhmEYhmEYhnG+8UO/YJ0LPGII46ffHO96aJfqs1QRVh1RdDKenlFjOuJNOe71W2a1yt+bEnk43a62Diwucl6Ci3nR1tNYr/H3xCLqi3Y9W0FCz2Pqy9ri9K63cw3nXY9y7kW7qw+UzXHRXT+l52XLZo6vn6tyfszqQV20OS6Ks96/5z5qD27UxaDbTc4nSUVYAffu4yKYwyOcYzN9UueBrFzDsf7VU2wFnIvII4LIk8tnde5Fu845Stkkr8OFRkWN2b+f80lSoqhtfy9bMAFg+0Mss5uu6XXY08cWpoyw8KWcztc49B1eHxtE/mAi4jjtY2zBmdq3X/UZf/VLqH3933+C2r/wS/9RjRkcFcVmi5yPNLHzMTXmiYe3Uztf1Oul0+R7IJ/GRkVfYzrN1jAn944Iud+JSc5527VHF2t9xUtfQO2dj/Le1j+kc0evv/Em7nM5r49VF6xRY+69j/P6Ll6hv3ffgw9Q+yGxCQ1fMKrGHD/J17hiNRcj/sYXP6vGvOTFL6f2pS/YpPoMDfM17XuMpZ7XXKHHTM2xhfLhxznnauP4BWpMUeREhl57A7yYh2yOi2a3mjpHMuzwPuDb8ndEF/mOifypVqjX1JLIc5LZgnMLet8KQ7YsJ4SnIhNhOZfzMlvTnpWRkijc3MfX+KkbboTkJR/5n9T+nV/nAJZ0j/7daLRYvvr/yL5J9dm7myWXf/u9f6r6GIZh/FvmbGXaDcMwDMMwDMMwjGfhOfFgGYZhGIZhPF+IOYds/PSfTPF4hFpjkj2FC13tKewI5cjlNntHe2LaGzrQy7lRLfEdU1NacXj1GHsknetRfaaPHqd2LmDvYgw6x8a12APcDbSdPiE+k1E/rbhWMi4luc9Shz3J+ZY+l06Cx4RVncPUEXlxnYDHdDx77QEgsSxyo9oHqV3O6yiUGRYaRSfQ3tt0hj+ri/mNO11ouJxjj/WBuM6nKnQ4SqMW8Py25nXR4x7wNY5ceCm1ExFe7rbIV5vacVD1WbFpI7Wnp7jP2k06sumJ73LUz8bNm1WffXu4T/8aVtKd3XtYjVl72Ri1j0xwAeyLL4mI4tjF0XH9Ka1yXulOqc+iMA+WYRiGYRiGYRjGOcJesAzDMAzDMAzDMM4Rz0mIYCwWIJU5LXLx4Padqk9TJN8nE5wgH4/pRORmi320qYiCrk4UdA09JyJ7H1Hg0HHqsaxdGUa8p2YyonhlQn9v4DgUoJhlCc9uSyc4T0+z+/KnXvYqas9GJEVPTXORz8MRIhGLVQ5T6LQ5/GH347vVmMochwoUhGBI1OIKhOBDrVZXfQoFnruykDYdGmbXMABMnJym9sICC4j09mmXfkuEOhTzWuQiWebQjLlTLP5Rb2rBkIOHudjsiy+/gs91ir8DAC4RfQpxvaYqi3yNqQSvn0Rbz/i9d3yf2iNJseYKOowhrPEz0nR67U7N8Ln8l//8f/JxNq5VY2695XZqv+baV1P7s1+5Q41pNEVh55YW8qi3+T7OTvMzkE7ppP+5WX4mvAi56S3rcBoZFvLFz96v+mz+wDXUXgCHZiRbHKIAAH/0x79H7dpRFibxRX0uo+u43VnQssG33csSzLuS/Kxd+8Y/UGNmJjlkKJ/l9f2R//E7aszGDXwyn//Gt1Sf+7/PYiWXXMDP8CUXiwsC8D8+/ilqJ+I8/9W6DpVBXBQpb2qRi0CEIp1a4L3PhToUKS3271yKQ2XmZ3WIlhPPjU/qdSgLITvx+1PIawnsep3vY6PB89Dt6D1pbo5Dp1pNLcG8UOVxQYyfvYU5LaD0sY9/mtorhjn85zt33qrG+LicSx0S9wtv0UW8DcMwnk9YDpZhGIZhGMYz4T18ePqlMyr8Jx6Pi7bulU5yn5UrOE9k/oTOCTp45DCfingx9y2pPwkcPcy5LzWvX5CTwlDg2/zyWzulDTfjF7Bi78Kc7iMN4MkkGy0WWzpXKisMzBlRbwttPZexOBvcukqHE3BCOffMewgAvqUNEklRK6tfGNz8cX3+OaHim8pqw0Eg+6T4XLoxbUCMiWvKJXT+mu9yn3jA3xNlxOh22Pg0O8tG03JE3bGZOb4n3QgD89IiGy9DMd+1ZW306gij0NLSourTV+KaVXML0lipHSqzM2xs3TDI9/HwhFZIDsV6SMe1MSqMWGdRWIigYRiGYRiGYRjGOcJesAzDMAzDMAzDMM4Rz0mIYKPVwoEjx55uNzvaLZotsTRiUuZKtXT8/UAfF8VsxXSB0UaTP4sL17WLcDNWG+zSbIrvSKW0CzEt3LgO2j3fafO4UHidewuc/wMAD97HxUPj4h15YUnLcV60dSu1N79Wy2SGTXbJVis8v/2rdbHTuw/eS+2C47ytviQX8ASAHpGnFStqCUwv1G+/+rVvUrvr9T1K5zmXSBaQlnkKgA7nWFrW+WtOuIJl6l8p4h4dF/lgN33l69Re9npdjo3yPXndNS9Sfcr9Q9Run2AXeRDhte7t43lJp/iaJ2Z0Pl62j/M+0i2dBzJXZQnXGvj5/E+/+l/VmFSKv+feeziEpX9U56i8+LJxasdCfS7yeRzKcDhES4aaAPBdPpbMhZF5LgAQE+E+nVCHxvzG73E+lZQjri7rc3n5S3dQ+x0/cyW1ZZFbALjwwgupffMXvqz6jI+PU7sucpYmjnPRbwCAyEPceZT3k+2Palnej374C9ReitjPvefv3XXfg9S+tXCXGpMp8ty96aUs/4u2lsmWz2sLOn/Ng++BE1LJ3Y62OyYT/L1VUWA8GOXfHgAQUTvwLuI3QKQ3OhFC1GzquWyKPMRWKy7aOmyn3eZrbsb0uTTFMx2KsLPVq/U1fv8R/j1KgJ+9sKvPvy0ku0+29cb1Z3/5cfWZYRjG8wnzYBmGYRiGYRiGYZwjTOTCMAzDMAzjWThTpCCd1GIDMaEcGdVHCkBI5eL5ee0Z37TlIh4jPO6zQl0YAPp7WXWzHhFFU18UxWSb7OXOJnV0TrXKET1SxOCpT6mVFKILSRmmAiCZ4D9HB7McfTFX10qdCSEYktanq84vLkQLwlDPSxjy+WVSfB+TKe0l3noJi38cOrFd9cmLKI4169nD/vgUKxADQK9QVQ47WgQl1uXz7QplXcR11E9WKJSmwfe+HKFeu1TnaIpMj/ZQd73wfI9ylNKREzo6JBDu/nBJFzkeXTFA7cYxvgdhUau/Juvcx2f52EEQET0nhWpi+hkOvIlcGIZhGIZhGIZh/KvynHiw2q0OThw/oxaQ1+95ocybEBabdMQbebUipB1T+u0UIVuLpB2l09U1fxKy8FXA0xYlVTm7PEXtdkQ+WDImc0X4e1KRtbO4/fXvfpfPNanf4h/YzpaUweEh1eflL7ma2gNlrlMzPamtR804W5iWW2x565R0flV8ZAu16zPaGnPP9zi3S6qFzi/qWkJYYItHu8PzHSLivoZsyWrV9X3sE3WwCqJdiaizk8zm+Dii7k4yrS0iE1Oct3Xn976v+rzjnVwb5sQJzhlrdvQaC0Vi1nKMrVTzEXKje2e4TtcLX/zvVJ877uCcmf/3b/4/ag+s0Hl+sYCTDF8han/d+QCvZQDoipzIVnNK9ZH5U8mA57cjrXkAusLi1+lwn05XW1gTCV4vsxHfu2p8hNqNNq8pF9Pyvnfezfd6auowtd//F3+oxjSFjO1cXederkiyhTLW5PM9cEzn361/Ae8DX/v6fdS+4Uu6rtH4CO8nCUTkvMV5b2iIR20uQoK5eoqvcaHOz72PqFeVyIgabqHOq1TK2V1eLymncwHDkOfXxeR6iZCQFnWvIn4CVG6UXGNR+YNyL5Prv9169rXb6uq16yH2JeFZaTT191ZbfOyrLl5P7amjxyA5Oi1yR/V0Y8UI53sdPKF/fwzDMP4tYx4swzAMwzAMwzCMc4TlYBmGYRiGYTwDzjnEz1R5jMg96krXbESqRizGf3ZVhDc6EejoHBndks6wd1qq5gJaCTU/olUgF2fZm1gWkUFZUdwVAJZE/omLMNO7rvTwinnp6GiRQEQRdGPsMU0FEX+uisCUIGLupMdXFvutVXS+TxBjt2pG5HqFLe1R3bWD5yUI9fd64ZGenuR75DvaSxwT5+vaeu7qonhvXuSzpQscVQMAQXCKP+iwB7tZ1+efSnPUVa2iI0r6hzl3q7eX1+r0gh7TavG9lyrcALAochNjaV7zzYhooliG7+OYiN6qRbwCTU9zVFU5q58tmWv5L2EeLMMwDMMwDMMwjHOEvWAZhmEYhmEYhmGcI56TEMFmo4H9u3c/3U54fRop4aru1NgtGktEyE5m2K2YSOnvlYUcpahFK6ZdtB1RCLEjEpNdVycip4XfPBkRKiC/NyeS0j10gVGpmppP8JhuW7supfzp1ORh1ee+77Gr+s0//VZqRxWx7TZ5TCzguZucZrEEABjewH0efXyX6nPsOLuQZRHehQXtus5m2XXt6lLMRF9AUrj94xHCBoEwQbSaLFIwvyiEVQC0hKxnIO5zLSqkQgi9HIoQFfn052+mdjbBYzIZHQaQiPO8SNd2by8npQPA17/5MLU/efP3VJ8ez672l225htqPHX5cjUmXefH2FERx67qemHg/F6vueP1MyGe6JkRn2l29VxSFBG1cJPQ36/o4oThOt6MFK1KisHB9ic+lUdFiFP1CAnhqitf/n/7ff6nGrFvFksDtOS1akBTqAe0qr4XmvA59+OsP/S/u0+X537BukxpTSHFoxmQ7Yj8s87ELAa/VA4/tUWPKZT72mnXrqJ1NscgOAByfOUztTesvUH2OHuI+q4e5z0yEoMLc3BFqj4jCwitW8bkBwN6DPKZ/cED1qVVZdEYKVqRzOkRrxw4uTJ3Ocp/RXl3gfanK67nodZhRGOP1XVnkMemClm1eOPAEtZNCllwJikALVAVdHQ7UXdLr2TAM4/mEebAMwzAMwzAMwzDOESZyYRiGYRiG8Qx4H6JzhjhDfUlHPLgh9mw2Gw3VpyCFI2LsPZ8+pkuX5PM8Jplij7Dv6giNtAh3SWSzqk9eCAV0l9gbXU7ycQAgURTlWSK88jURMdJtsbdfimAAQDLN51cQ7eVZHS2SEtfY26O9rPF59sR2hWBIrBVRsiDB558W5XHKJS0YsnXrZmqfXH5Q9ckl+YuG+9mrffKQjvrJOr5Hrq3LD9Vqwtuc5nvkajraoi3WTMLxWu3v09EtRya5EHI5Qoyi3mQxitoMH9s3tV8nLconNZd1MeL+MZ7zI0c5QiCX1+s7aPH3uA4f+/isLuOR9+KaQh0V1m7r+YzCPFiGYRiGYRiGYRjniOfEgxXEYihnT+cHNKo63yElpEA7Io0iHtdv8akcv+nPTetYeinj2RaWlFRSvwV7kaeVFLHqIfS5JFN8nExE/LpznIfgxbnF4voteakyQ+1smvMsSjl9nK4oiFqMqOzYXua8iY9+7CP8vZmCGtPfy5+lE2w12bdPFzJ9eA9/JnOaAGDVijH+QFgQUgm9bOOe70Eg5Vuj7pEY04wo0JlPsAUvSEi5VjUE+X62NmZFHlQioiDw8jJbAUOn84aOHGbL5kAPf29/UluTmotsTSrmuE8hWVZjHti1j9oHq6dUnzdeMS7Oly1F6QjbjRfznXC8fvIpvcYySZ7LFVvWqj5Tx3leqlW2wi4t6Zy9Yootn4Eo0D3Yr/NYFhZ4Ln1NW9lSLV545Txf06m4HpNs8l6X8lzMeu6wnv+h3DC1uw29h5b7+R7MzLOFMhmRWNlqiPxSYaEsF/Szt3acC4oPFzaqPoePSism/3uxqC23SbGE0gGfWzqhr3ntSj6Xob4+1ScvCrxXKzwPcaefo6TYB1pCUrpS1xLBfUN8j4op/Uz05nkvlmt37tQJPUb8zjnH59+qV9SYgpBX7s/r3wCZs5wU3o3lht6T0qKYcqnE631WJg0DCELxPV2dO+qyZvs1DOP5je1ihmEYhmGcVzjnPuOcO+Gcqzjn9jrn3n3Gv73SObfbOVdzzt3unFv9XJ6rYRjnH5aDZRiGYRjG+cYHAfyS977pnLsQwB3OuUcAHAFwE4B3A/gagA8A+ByAFz7bF54pNuoilHVlpEQ8QpVYWrWlcqSqngud85EQ0QrzC1wwGND5VX0FnU8lFVi74vybTZ1D1moINdK69sp7cdktGbURUac1FIWb5+bZExvGtDcUQjV58pj2+A7l2UPqRH5YGFH0uB/smZ2v8DU2ZEFpANu2H6T2ckvP3WiKI6ROLvJE+VDngwXCle+c7pMW6sCdrsh5a2rvcybO37N162XUfvSxY2rMihUcETAzsVf1uXDlGmpPTHDU1RUvvFSNOXD3vdTecNUW1Wf749upvW6clVv37OTIGwAYXbmK2genp6l91cWcNwcAOyb4Pgb9Osqn4c+u0LC9YBmGYRiGcV7hvT9Tz94/9d86AFcA2OG9/wIAOOfeB2DWOXeh9363+iLDMIwfAQsRNAzDMAzjvMM59zHnXA3AbgAnAHwTwGYAj/6gj/e+CuDAU58bhmGcE54TD5YD4M4QLohBuy9jolirEy7QbkRR2LyQDz1+bFr1GR1lWcxEIKdAiyF0RaHYqihC2mpHuGyz7M7uL+sEfoTshq4ssRs6EyGRGjo+30DMQz6jx9Qdu+ebEXOXEkWaR4b43bu9rMUosiJZ3LV47jJeFzIdGON7tNTSgg+1KosSZIXwSCLQ68UJydGYCN9IRMiJJgP+rO30NcZlyIdYLy7CU5wRCeVxkdRdq2lp0EAUpnZdHYIwMsBJ81JwoDOtk9tTIlm8IKYujFDpyIuCwGtzOiHeCYGBjgg3SCZZqAEAWl7OJQsSJJP6OcqDxT/G+rSAQvUkh4WE4PUdS0YI4oS87nybxwwPrVRjICRfZxP6WZOiFlURYpOAXmNyZSYSQpghQhwh38thC51pLbLQqPFnzZCPnczpe983xNc0O8d9eop6LTTbLP6Rgy6omxQxQ1KkKJ3Ue0VT7AODAzwvtboWL2mLva7W0c9EIsfPjRdy27mI9b4wz/NQzvI+1hch5lCpCgElHxWmI0K9Kiz2saJXz+XyDM93XghWDA8KkSAAlYqYh0Cvw1KJv2d6geey2KeFX3rm+TnvtMV6T+trDoSAVSKjn0+fODsZ5GfDe//rzrnfBPAiAC8H0ASQBzAjui4CUD/Szrn3AHgPAAROn6dhGMa/hIUIGoZhGIZxXuK97wK42zn3LgC/BmAZQFF0KwJQb+ze++sAXAcAqSDw/ozcC+91Ela7wUaYMKLPqVOsCtoWRkYfkd9Rr/MLfqXKxuNkQhsoZG7XiQmdn9QRyrnSlLMwp3O7XEwYKCKuUV53IPKnOk1tTAsD8QLruU8ip68xHsrzjwjK6vB8ZoRCr5OqltD5YBmhHlwoRBiaxPcq2z2AQF4j+BrDrjbUdMX5hz7CICGms5XgPrFWxD0SjoO5OTbcpNPayNGq8UW1I2qILc6zYS/t+Z5MTujcLgRsmNm7W+dTrShwHaz9E4ef8TgAcPT4UWoX+9ggtPuRRyFpNsX6jnCgRPhhIrEQQcMwDMMwznfieDIHaweArT/40D1ZL+UHnxuGYZwT7AXLMAzDMIzzBufcoHPubc65vHMucM69FsDbAdwG4MsAtjjn3uKcSwN4L4DHTODCMIxzyXMTIugcYmfEnieS+jSSKVF8ULhfO15Lg0q3bjKrXcoVUchxoJfj+rNpXfSwXmNX6XxlkdrpvB6TyXMuw8k5nQ821Mex8nkR+99t6kKaF6zlHJTFJc7nOXiEXaIAsHYDS14uzGmXp7wF6QK/e1cipFjbdZH/FYgCuzGd9xS0eP67EVK37TYfK9/Lsf+zJ7TrOl3giI+4yFXzHR12kclyblfL6fmWBYsTIlcqKauhAuqiWm0OAcnn9HqRhYbjshIrgLiIA5id5nU4kNByoqHnexB22bftI3JfGgGHKaQW9dylU+xqb8Y5uiYR03lmYYePvdzkv2cSJc4xA4BEga/p/oefUH3yWSHDm+F1uVzVcrnlMj/3CVGw+8CkLnybFflViZwOnwmELHMuz2usm9UhIPUmr/dOQhTUhT7/oMtrNfQ6nyqZ4OcxIQqMdyLkiZ3IQ8wEPLediOLKJ+Y45Cm3pK8xH/B+mMtwuMeyj9grEuLZ6vI8pFIR+7vYm3tdXvWZOsl7cT7L+7Dv6rzQqniGayKPtR3XYUbdJD83M0uLqk9S3Psgx+ulGYuQ7Bb5azWheV3t6P29mxL5phHFzsMu75lp8Rvcdvq+NsR6CBK896WzOpYmiIl8zY7OCU5EHOuHxOPJcMCP40lD8hEAv+29/yoAOOfeAuCjAD4D4AEAb/txD2gYhnEmloNlGIZhGMZ5g/d+BsDLnuHfbwVw4b/eGRmG8ZOGvWAZhmEYhmE8C+4MgYEgQs0WTqhlBjrCYWx4hNqLS+yNnjh4WI3Jpdh7Xhxk7+LU5HE1preXVVpPLmoP6pBQqZzZs4faLkJQIZthz/FcI6LQMCJCU84gmdAeyo4UxhBe4WpVR5g44W3OOD3fSeE9z4p7IpVHAaCRFMWIhdBBs6HPZWgFR9pMzus/rxuikHBReLkbGT0vTiqwRigXJ4QaaVcIkQSOI2QAIJXm6JC56iy1x9evV2Me23WE2pmI6C10+VxGR3jtPn5gUg35zd/5FWrff1hHYmWFQnauwdEJ/T0cFQEACTFX+TjPSy2jxUoWhWBMqaAjg2Lh2WVXnVUv59wdzrmGc275qf/2nPFv73DOHXHOVZ1zNzvntJarYRiGYRiGYRjGTwA/jAfrN7z3/3DmB865zQD+HsAbATyMJ+VMP4Zni2f2HrEz4sS7rYh884xZNwAAIABJREFUkwLHoiPgt/gIowNyMX7zdBGyjRmRY9UQMpPxtLa8LIm8ITlrQcTbbDrkt+1uRMGkpKid0hLXWI2Qh5yaY0tErcp5FMODo2pMTNRUSkWcS0fEwddETS7X1pYskeKBaodzUjoJPZepJL9/d0/pPJZETOStdHh+ExHWr4SwSqWFHGo31Nccipwml4rIMRBaq6WkrMemr7Eu8nBSWV4LiYrOqUmKa0Rc101bEHWYenJ8A8KG/t5OV0i8Bvy9HZlkBqDQEpbDVFb1aXu2QiWWeZ5yEXYW3+Z7LZ/PprCgAYArsBV23dpVqs/JJa7xM7PIm0NPoJ+jlhgjJYJHx1aoMQtCfrZb1c+9E7kjSXHsXExvua22yF0s8PrJRMgI50NhiYvIY62JOm8eLMPbjlqHNT6Wb3K5oM6grm+Wao1TO9bQ+3m/sD5O16b4XDv6XPpF7brKDN+zYEBbFot5Xi8zJ7TVvih+W0JRE+rkMW1h7cvxc5Nu8Dw1FrVFO1vk+xqEum5aTtQ6lNvsQk1/b6zDe05PXeSmNfRz1C3z+mi2teV5+iSv77yo59dwEXLForaXSB9EoqWvOZnj+1br6PUy1ImoG2kYhvE84scNEXwngK957+8CAOfcfwewyzlX8N7rKpCGYRiGYRiGYRjnMT/MC9YHnXP/D4A9AP7Ee38HgM0A7v1BB+/9AedcC8BGAA+dyxM1DMMwDMN4bnBwZ1QYjUUUG/UiEuTqK7aoPgdOslfYNdkT7iIUKas19sRWj3P70rVr1Zh7H2eVVqlsDAAn5tlDmhF5Za6tIxyWhOLtpot0rs79M6zCGhMKzy4qoifG+TBByMdJqiK9gBCkRD6nr3HLCOfmpJOsILvnEb4fTx5bzIMo/tzj9LnMHeICuvm2jm4pZzgCoLHAfohMJyLqJ+DIrG6EwmZbqA6PJnuovaKs85P6hbJ1s8vRT5UKRxkAwNp+zh98ZMce1WedUNt1TY48GBvT5zK7yKrDvRmtKutEDt7A0BC1D92niwYXL2Udm9osn0s3QgU6KyKFfEyr7UY9+1Gc7QvWHwLYCaCFJ8P/vuacuxRAHoCMwVgEoPz7zrn3AHjPkyd3lmdnGIZhGIZhGIbxPOKsRC689w9475e8903v/acA3APgDQCWARRF9yIAFR7ovb/Oe3+l9/5Ke8EyDMMwDMMwDON85EfNwfIAHIAdALb+4EPn3FoAKQB7n2lwLBZD+owE2jBC0TMmXv2kJGq3GyHHmRRuRae/WNZtlN8bg375c+KFUB6nFpGIXBTFT9dHSF7Wmpyc3BYTMTbGBTABYHqS3bppkYg8NqqT82tCRjWf18U3U+KaTtZZ9tXFn32pyHmp1rVrdXKSE8gzRZ00LwtGn82/t0UhUCWhGxGSECmzK4iJhSiPHXWqch4C8HECuU4BNOqcYB51jfK+dVt8zZ2IAqPxiKLGZ+K9npe4kLoNIq7RhRwK0xL3OhWPKBQa5xCQhBAQKeZ1YntJfNZsaLnZgX5+ThYW+ISbp7gQLgAMr+JQB1fgua029dotF3lMuaAFWuqiIPeAKIAduSeJ+e52RSHWCAELuSfJ9Q8AXuwNXSGaE0RIGucyLACRzHIYxqrNeh87fIBDkTwqqs9aEcK0UgjKTB/9jhrTrrEoR68oOD60UZ9LUwg+TJ44pPrkRAH6/hV8bu2mnpcnjvD3DJV4vaxeqffd/pUccrNvT8TPoggpi4lnYsMKXnMAMH2QJYxDIeBTKnJ4EABsvHgdtY9M6LXbnGFxjJVjfOx4iUOrAGDH47uo3RDrvyTXPwCAn8eoPUiub8MwjOcbz/pXs3OuDOBqAHcC6AD4BQA/BeC3ACQA3OecuwZPqgi+H8BNJnBhGIZhGIZhGMZPImfjwUoA+DM8WfW8C2A3gDd57/cCgHPuVwFcD6APwK0AfvF/z6kahmEYhmH86+O8LA+jPW/zFU7Wb9UHVZ9kgj3LVeGV9xElRRLCo9dbZM/g4gxHtgBAVmTil0q6dMbU5AlxHPaE5zI6AqItKt3WIwoAB6JAcSAiSHxMR3FAeJ8HhYjB4rK2288d4UibmtPfGxelSpKibMpwSkdONNPsxe7xPKbW0V76//gLb6T2x/7xn/S5xPh73njNi6j98U/coMZkPN+3VkQpoXhTXGPAc1k5rEs3nNrBHvUt46up3TzFaxkAOin+3tph3afQZe942OBrHuzRa+oTH/kktd/85p9TfYYGubxDOcERMU9EZDytTXOEVGnLGmov1PXave8JFu4I27qMREtE8PxLPOsLlvd+BsBVz/DvNwDQq8IwDMMwDMMwDOMnjB+3DtaPhveUYxJDRF6C/EDky0TlqMRFnlBUHkirzW/gMq+lUtGWCZmXsBxyLkMspaVB5fntP3BA9YkJOVaZgzU3p+Pka0ts7cpn2fryxBNPqDENUYA2TEbInQoLmWvxG3o2Il+j2eQ3+5TIq5D5SwAQCKnVYlHH6Mt7IGP0owoNZ8Q9kNccROhqZpKci7EUkZIl85ryebaipOIRRabTIgdLFBH2EfMv88FcREFaub6T4ilxDZ2DpfIbREFmH/EcyXy8Rkufr5Qjzoh7vxhhhZX0lXguA+gCr74jc+v091ar/ExkhYWyndZWzVaDLVfZIj9H2TSvDQAIu1JqWM9LUsyvPE5UjmdGFBxPxqVEsL5HXpxLxKOGsMtzlxbrvR1REFjm9YUB56LNzmpLebvNeTfS2g4AR49y3hDyuni1RD7nHZEXt7Soiwi3WtwnESF5Lffm2jLnP8o8IgAoi32q0+HjLC5qS26qzJZaOQYAmsL6nxd5ZidPstw1AARiDclnvNHQx5md4fOrVfXvXKPKHoI5IeO8GHUuIqcwKfaxRk2fSyLG97UO3Sf8/9s782DJzvK8P2/vffvevuvcO4ukGe0jhCVhhHGcCOGAy0a2A0GUrbAEx+VgSwVJcFwJfwiCJYiLwmVSZZagRCwBbAOJ2CkqEBaX2bUgiVk1I82MZrv72t231y9/dI+57/t+mrlietT3Ds+vakr6Tn/nnPd8W/e55zzvE/lNQAghm4l1ZREkhBBCCCGEEHJuevMEixBCCCFkk1ANzZnDq4tHAYwBmMFqpJKRCT128gddOffk44+fz+7tePefNbnzedCd4+6Z+0fD33a8XeKbT+w7d6Vz8D8e23O2j8cAzLz/C1951sd9z2fPvc8XH917zjoHZvXbTp8+air88KEz//fMbbv3/NsJAD7/l4fO+xjf/fD/PPO/5zUWPvPYY+cdCx5cV62dsY28wSKEEEIIOQshhC0AICIPhhBu7nU864XxXlg2U7ybKVZg88Vr6dkNlkS8L9Zi3ytPGA1NzPMH5r3tRsN7wwwMaK1F/4DWAjQjmYGs/4rVLkwte63UyoLWB/QPea1Rw2YiMe+vx/RJ1rtm1mQPsjodANi+dasqH5vx79KPjWqPk4x5z788HdEY9Ot36Z0mJZJpJZ3Q12jbFvAaiZTRIzWb/rhNozdBMP4yEU1Ty2jpsmmv1bF1rN9QzMPFevH0Z63vmN/HappaSa9jaRh9TNpUicXSDGfXDUlEE5Qx2sVUwutYalWtU8mmtb4npqu0+h4bS6XsPa7qDT3Xhkfyrs7CjPbVWV7S/kl9kVisrqle1TqcfNF7xVVKOv5yxceb26rHc85ko0pH3squmTGVS2kNWQaR8W7Wv0bV/zk9O6gzKNWC1vsMDXoPuuqTx1XZZstqFvxYyKT13NoxvMXVmTJ60sUF3UcxXWXDtHfLzJGFeb8meQ2W1/fUTVax06e19q8eyRolZj1pmu+WZkRftX+f1sOODfu1bmJUe7gdMT6BtXW8xZ80mqZM0q9jczO6repVnz3rxb/yy6r84EM/VOXihPdlTJi1zLZDf5/PGGbXsWREx4pz/D4ghJCNDjVYhBBCCCGEENIleINFCCGEELI+7ut1AM8Sxnth2UzxbqZYgc0Xr4I3WIQQQggh6yCEsKl+9DHeC8tminczxQpsvngtvMEihBBCCCGEkC7RsyQXa01obeIGAIAxKk0aw8jYPtYsNybOzxkTVVvHCvEBnzzAJ3Pwgty+Pp0849prrnF1Zo3wO5jjjprEEwAwk5xWZSsYHhnS5q0AMDY2psr1tG+7oUGdUKOyqPPNLtbX0S5GCN6X8wbMVZPIoFQquTpWqJ7I6HizWW8Ca416YUTzscQYzns4kpQjAX2cQp9JshARY2fMuavG9LiQ8vFnM3oqlmo+llxe79cqG0PUiGmwNXu2CUQSkaQoNuGGHWMAkEnq/cS0nTW1BYDVlu6jjJmLw8M+6UKhoMfQiePTrs6gGd/Nut5n4cQJt09fVp+rUNTHmJnTiTMAYGBQJ2+Izc8lk7xhaGhCldMRQX8wiQJsModM3q9jYvoxHenHZl0nwrAJcJaWTU5p+MQ6Q3mdIOd0ybdLNqVjGdru+/GAMVrfvnu3Ks+e0O0GAEtmbRjfott7tc8nczixrPu60OfHYTCJa4Lodrlsh0/m8NABncI4YY47Me4Te1SndCwhkqwka9biVWNMPbbdx1IyCVjqU7ofCwWfoKWU0GtFX8aPl4oxHy6a8zSDTyxVHDTnMgbY+bzvI7s2NCJrs01YRQghmw0+wSKEEEIIIYSQLsEbLEIIIYSQsyAiIyLyOREpichREXltr2Nai4i8WUQeFJGqiHzMfPYyEdkvImUR+ZaIRI1RnytEJCsi93facVlEfiIir9io8XZi+qSInBKRJRE5KCJ/tOazDRcvAIjI1SKyKiKfXLPttZ12L4nI50XE+0c8x4jItztxrnT+HVjz2YaLd73wBosQQggh5Ox8AEANwASA1wH4kIhc39uQFCcBvAvAR9ZuFJExAA8AeDuAEQAPAvj0cx6dJgXgaQC3AhgEcDeAz4jIrg0aLwD8BYBdIYQigH8B4F0i8sINHC/QHrM/PlPojNcPA3gD2uO4DOCDvQnN8eYQQn/n37XAho/3nGwIo2GnaQJgN1kjypg3YaNqtDuR4y4bbVGfMUJ0Wh4ApSW9j32XvhnRvlhd1uSkN/ftK+hz26MsRzQSVp9ktUX2c8DrnDJZb+o5v6g1EIm6eZc+omWw57ayuEbNv7OfMJKlWsQM2h63bswrY2bKdXPdVhPUaPo+soa6mZTv+6YYfUxVx5uPaI1sfFvHxlX59BGvCbLjLpH0ugRbJ9+v9Q+rJW82a9vSGg8nI0bDdksy8ncYq11s1E28wbd3y8SSNG0L8de8vKI1P7fd9muuziP7DqryzKw2VU2mvKlqKqG1gJWyHj8v+hX/u+nosdOqbA2lAWBgi57ThZweH6slH0surfsxGNPsVt3r/FJ2vCTO/beyqpkjxWGv10zO6XaZnNJG5lsv15osAMgbDVY5Yhh97bVag3rg1HFTw4+XXEbPz8U53a/NoHWuALDr0stUeXDIz+mE0U3uf0r3ayViwmvHe8oavk95baDViu7Y5ttu0Bjf71rV8Z+ajZjYl/T3QgZ6nV1a0ib3AJDfpnVxwznfdjnzvZAv6Dol8d8bS4u6rwcu2abKkSmNZFPH27Im8QCSaa/f7SUiUgBwO4DnhxBWAPyDiHwR7R9+b+tpcB1CCA8AgIjcDGCteO/VAPaEED7b+fydAGZEZHcIYf9zHiiAEEIJwDvXbPqyiDwF4IUARrHB4gWAEMKetcXOvyvRjnnDxSsidwBYAPA9AFd1Nr8OwJdCCH/fqfN2APtEZCCE4H9w9p7NFq+CT7AIIYQQQp6ZawA0Qghr/5rzKICN9ATrmbge7VgB/OPNzWFsoNhFZALtNt6DDRyviHxQRMoA9gM4BeCr2IDxikgRwD0A/tR8ZGM9jPZTWZ+F7bnnL0RkRkS+KyIv7WzbyPGeE95gEUIIIYQ8M/0Alsy2RQADkbobjX60Y13LholdRNIAPgXg450nPhs23hDCXZ04bkH7tcAqNma89wK4P4RgXxXYiLECwH8GcAWAHWibC39JRK7Exo13XfAGixBCCCHkmVkBUDTbigA2/GtK2MCxi0gCwCfQfirx5s7mDRsvAIQQmiGEf0D7Ncw7scHiFZGbALwcwPsiH2+oWM8QQvhhCGE5hFANIXwcwHcB3IYNGu966ZkGixBCCCFkE3AQQEpErg4hPNHZdiPar7RtdPYAeOOZQkdPdiV6HLu0xff3o5284LYQwhkx3oaMN0IKP4trI8X7UgC7ABzr5DfoB5AUkecB+Bra4xYAICJXAMiiPb43EgFtOfgebI54o/TkBktEkFojyg7JiGmw3RBLJGGoR8xwz4VNArDFmJYC3hC4YJJTxJJp2E2FXN7VsUarKxVtBhlL/mHPPT2pRej5vD+PFcDn+ryA2BrQNutVVbYCeQCQrI4law12I/1x6SXbVfmUueYYNmlE7LFrMCJ5mxRFxCfcaDTNNUVMgxsV3Q42SUer4Y9bX9X72DFm2xrwCSxixsjVqj5uf16L0GPjxV6RrRPbJ2uSfyR9s6BsEr9A9JiySQAAIGPmuU1iILY/AGRT+uT79hxwdaZNIgAJ1gTZX2Ojqvsta0xVD+5/ApbQ0sdNRZKitIy5b8PMAZucAgBQNePBxJtORkxhV3TimtjalzDx2QQnqYxPWtA03TY8ojPixpLoBGOOm8/ZPzgCx06fUuXLr7lWlU8d+r7bJ23aypo0b4skjXhsn/5N87zdO1ydo0ePqvLIxOWqvDjn29L268qKTu6wY4c/z5HJk6r89NGnXJ3l4rAqnzytE25ccsWVbp9TB46ocq2m14WhiNl8LW8Mu4947X3GJAiZndUJZi657kZYWiYljh2HOfHfNdLUczqWoCVhE+D0mBBCSUQeAHBPJz33TQBeCcBn3ekRIpJC+zddEu0f1DkADQCfA/BeEbkdwFcAvAPAY71MwNDhQwCuA/DyEMLaHwIbLl4RGQfwzwF8GUAF7SdE/6rz7/vYWPHeB+Dv1pT/DO0brjsBjAP4vojcAuBhtHVaD/QyYYSIDAF4MYDvoD1efx/ASwD8ewBpbLB4nw18RZAQQggh5OzcBSAPYArA3wK402SW6zV3o/3j/20AXt/5/7tDCNNoZ0B8N4B5tH/M3tGrIAGg4xP1x2jfqJ5e43/0uo0YL9p/q7wTwHG0Y/pLAP8hhPDFjRZvCKEcQjh95h/ar9mthhCmO+P1T9DWvE2hrWW6q1exdkijbS8wDWAGwFsAvCqEcHCDxrtu+IogIYQQQshZCCHMAXhVr+N4JkII74ROfb72s28A2P1cxnM2QghH4R1B1n6+0eKdRtuz65k+31DxrqUzLtaW/wbA3/QmGk+nbV90ls83VLzPBj7BIoQQQgghhJAu0ZsnWCEgnMNoOBhj2JrRtcRe0bbGsbF3uweMsWPSaEViGgNLxZiFtiLaHacbisRitThjI6OqPDXjzSvtNVrtTix+q4UaLXqdWdPUWTYag5gBczKp+211VRuvNiKxWC1DvzHLBYDlRZ0N17Zdo+GPmzJjaD396LRQTa+nEtHXnUzp8/RFNG/WlHTF6JUG+32G0akpramxGjLAmxpbTVaIjEOr2Qvh3HowS6sRmWzGSNu2S8xouGn6XoxCLJnw64A3FPfHLfZrLVq1pMePRGJJm5UvaRxR+4teR7S4rMd3bE7btczqLGPmxCnoOolw7rHcMNq/WD/aWBLWLDerzxuLd25BayQHi9qwFgByZjG2xwCAomnPxUVtGhwzD28YbZFth7k5b8I7sUWvbdu3b3d1sqbzT87qPqlE+qhQ0HM2Y7SBJ5725uHZAa0/KkbmfSGv179LzJg6ccIf1/arXSuWl73R8FJLb7t+t/9j+6XbtY4sGN3WniePuH3s+i3B6n39WGgZc/lEzs8ju1YQQshmg0+wCCGEEEIIIaRL8AaLEEIIIYQQQroEb7AIIYQQQgghpEv0RIMVENBs/uw97GY94gtkdAgNozEIEZ8dyZjLaXrtiNUJDQ5rz5ChEe1LAgDJtD7XwpzWD6Qj+oH6OryPhowuIZPV77wPFLw+aXF+QccGrauo17x/Ul9Wa1T6+vpcnQC9X8L4P52Y8nqwltFIZHJaIzQA74FSNNeUjWhdVpa0/gtmLCQj/j2ry1rnlDd1Gg3f/sFoAQS+7RJGCtA0sVQiuq0+oxW58lLts3P0wGG3j9UfiQ8Fq0Ef96odWl9yctZrL2o1fY3FrG7/ekTr0HTtENFTWX8w460mEV8mMdMkZ7QkLefaBVSMzuzWG70Xz6M/1Z5Vp5qT+rirfq1IOf8e3bZbx7a4fap17QsU07xJWmtO8kHPiZjkLZHRc1iMxjCV8do0q0cKraqrkzN6GDHxStnvUy7r9TFnvO6alYj9SEHPtb68Xw8zi/oaS+bUxbFxt8/sId2vdu1oRLS7aTPIytPzrk7dzNmlBd2vE0Pe0+pASc+t4QG9bo0Na78wADhV0ucuw88Jq8ecM7rbgYhua8VoDmdO632Ghv2a2kjp8XL4gPfkumz8UlU+eOSIKheHtrl9lgtao5e1a0fLz5GmHd91X6eVfsYEc4QQsingEyxCCCGEEEII6RK8wSKEEEIIIYSQLsEbLEIIIYQQQgjpErzBIoQQQgghhJAu0RujYUPMaNglhTBiWWs8DAAw5sR9fd4EtmmMVq0p5vS0T+aQy2kBvzVXjJnw1o3Iv1DwsUxPazF+vk8ftxlJoDAxMaHKx4wQuX/AJ7AoDmqh+v69P3V1hoZ0sg8ros/HEmNEEo2sZaVSdtuyS9oEdiWSDMGaQaeTepjORoxvbR9Y49Jm3Zu1Nl0iEn/cqkmEkTfGwrGxO2DMfY88dVSVs3nfls40uOzbrpDV5z5i+j7Z9JkxaiYRSbNpzLgjfZhN67YMEVfvtDFrDSZ+O8/a59bblktaIJ+Gn0fbxnXCgS99+euuTv+wTkgxvEXPkbnaXrdPOqnnfX9Rj/9HH/f7FIa1yH+gWHB16g2dhEYSuu1iYywk7Da9jkmk/e14tsluAKBW0wkr7BwpL+v2B4BkwowPk2ygWvfjcvmUSeqy9SpXZ6GkE7ukR3VSCDs2ACCV1OO9VNIJNorb/Tx66snjqlzI+YQVpZZul4FBbZ5cjhj15nJ6vCwbs/lq3cdv53QyZh6eM0lEqrotEzl/3IpJEtEybtyTke+wgUv1HFlNeQPgA0/opCJ2vbHm1gAwP6/NnutmfaxH4m+ZhD7JpP8ZEkt4Qwghmwk+wSKEEEIIIYSQLsEbLEIIIYQQQgjpEuu+wRKRO0Rkn4iUROSwiNzS2f4yEdkvImUR+ZaI7Lxw4RJCCCGEEELIxmVdGiwR+Q0A7wHw+wB+BGBbZ/sYgAcA/BGALwG4F8CnAfzquY651qQzpmOxHp6JhL4XjBn3Wo1Bo+F1N5aG0diMDnujYWt2umR0RDEpUtLcu66UllydoSGtQ+graO3RzMyM22d+Qb/zns9rfVijrvUFALC8pHUh1119jatTqmg9xpJxAp0seb3G6JDWQDTNe/O5vDZZBYBsVr/7LwVvpGl1cBmjp8plvH6gXNWaiHpV6wViOjlrcC0RHUvSyCbsuEvCj92K0WcUB/SYatQiWi8jVUhZV14AK4t6DOUTZrxHjJLtJWVSekMrYsCMoNuuFtFTtczcKhjtzkrwx02Ya2qYw1ZX/HxdWNDXPLH1Uldn2fTj8ZNah2M1fQAwP6PNZYeKWjuydZs/z1xd9/VsxHx7dELPx3pLry8RT3I0jKu0XQ5DpC0zRidXC37sJpL6QE2joSlkvJF5Ia/n+eGjR1R555WX+PM09Tz/3o/3uDqD4/pccxWtc1qcN+biAPpMfOWaWYPKug8BYMs2raU7MeXr5AZ0X+cLOv7Z0yfdPomknrNZo0+aX/batHGjl50vzbk6jzzyiN5nTO8zW/Xrbt2Mh1pLj59kyq9JCbNuFYp+Tpya0+O5UNBjuTDuzbf3itYqJu13QL/XHtdNvKngv0CrTWqwCCGbm/UmufhzAPeEEH7QKZ8AABF5E4A9IYTPdsrvBDAjIrtDCPu7HSwhhBBCCCGEbGTO+YqgiCQB3Axgi4gcEpHjIvJ+EckDuB7Ao2fqhhBKAA53ttvjvElEHhSRB5uRTFqEEEIIIYQQstlZzxOsCQBpAK8BcAuAOoAvALgbQD8A+57MIgD3/kEI4T4A9wFANpXkHRYhhBBCCCHkomM9SS7OvAT+1yGEUyGEGQB/BeA2ACsAiqZ+EcAyCCGEEEIIIeQXjHM+wQohzIvIcUCpV8/8/x4AbzyzUUQKAK7sbD/LQXWygEQkuUAwWS5SJpNEMnZraMT4uaw3dixXdPKGRl2XUyktkgaA8qwWSlsD4NWI6fGAMeaN5RKwZoqLy1rQX61GzHHNgWzSBWuw245Xt8vs5KSvY5T183NakJ3JeVPPujF2TpqMELFEJJVKSZVXIg1ju9YmOIkZXrp2yGrhuh1PsX1iyVZKxvDX9lkykuEkmHZJp3Us9Zrv12CMb5t1nxSlv08/GA7WRDiWbcUkwnB9EkmgYK+p6ZvFXWPejDsRbyDdrOt+s/04kPfGvdbkOxExSM2YB+JDI9o4dmaPNw2+fEAnsRgwgv7lqk9akOofU+XhSEKcalnPGxu/X+mApumDlinHxnva9FE64dc627O271uRZCuVFZ1UYWLbuCrf/MIXuH0ef/QpfdxBHwvSOqnF1SZZyfLpI26Xqb0HVbmQu1yVd19zrdsniG7hQ0+ccHWsafD1N96kyomWT+py/Ak9hlotfYyxSAKI627Shss/efwnPt6ETgJRLOq/V44N+6S8hw/q9k6YV+5zNjMPgCt27lLl+UW/vpRbej0ZKOg1/9Id290+/QUdf9Ws76sRg/eEMSmXSJKLFl9yIYRsctabpv2jAN4iIuMiMgzgrQC+DOBzAJ4vIreLSA7AOwA8xgQXhBBCCCGEkF9E1nuDdS+AHwM4CGAfgEcAvDuEMA3gdgCO4a5HAAAWa0lEQVTvBjAP4MUA7rgAcRJCCCGEEELIhmddadpDCHUAd3X+2c++AWB3l+MihBBCCCGEkE3Hen2wus5avUuIpG0XYzQYkTA56kazVKt5092sef/eanNmZ70xpdVYpc077pmIia09bj6iL5mf07oEMcdpRrQAfXn9znsyqbuwXvP7pNM63kpE21Wp6rbqL2gtQLk05fYJKX2NwWh1YpqmijE0rrb8Q1SrubJGqzHTYLvN6k2qVa+T6+vrP2edjDFytuK/mAns2PCIqWOMQNN+2lmtTiViYJxK6X6sV7XOSZL+uC1n0G0MUxN+n2AcgBMS0dSYh98ts09fzptMz5a0lmh5RY//EDFKHjCmsJPz865OYURro2wzNFt+vNshlDSmvK2IdiRAxy8RrYupgmbDrG2tmKDNjClXIWLEbo4bm2sN0XUyxqA7FTlT1mgXTy9qk/K5OV0GInOtuejq5M25a2V9bqvdAYBcVrdLvaYb98Rxb8Te36/ntNWfAsDcpF7jTz6tjanLK970uFrRmryy6eelFX/NB/c/ocohYqTdrOk5fMp8/1Rn/TXmxH5P6HZanvVz5NiJYzrecszAWMdSMu3w6EMPun1KJdNvRTOW6xG9bP3cJvCx8UwIIZuJ9b4iSAghhBBCCCHkHPAGixBCCCGEEEK6BG+wCCGEEEIIIaRL9EyDdS7sO9i2nIzoB1ot/W53zBNqxbwzPjis39Gv1vw741a7IGldtroWAGjW9XFXFrzGIF/UeoF6U7+jb/UQAFAx785bj5xUyr/Pvrik36XP9uVdnaTxF5K60RZFPK2sF1LD6AlSEX1Pta7rDIwNuDr2vX6ro7B6GQCoGW+pTF6f2+q6AN92yYjWpW60ODUTv9XAAV7HN7xlQu+TiYzLFaNtifTjvNEfjQ5onVwlou/JGN1WyvxNJWWFcwBg+jXmU5MwOpCa6LasVrz2JWGmyXbTLqu1w26f06e0j9Hw+A5XZ2VVj+/pydOqbHU5ADA7r/2qMKY1koOj3tdosqLPMzPn9ZojRT2PGmZcpiN6k2bCrHVN00cR769g+rrV9Pqeluk3u46tlr1uyOrMajV9jAMHfR/VqnqfrdvGXJ2Zae09X57X69jqqtc95XJGW7Ssj1H0kkkcndLjJV/wa+h241n11GHtK1Wu+LYcGNDjowDdlpWaX9/rU1rXmq95b7idV2mvrL1GK5XI+r63UsVg4rUaUAComnVsYXbO1Xn+Tc9T5RNPHFLlVMQLcWREn6teNz5waR+/mLUtppOLrcWEELKZ4BMsQgghhBBCCOkSvMEihBBCCCGEkC7BGyxCCCGEEEII6RK8wSKEEEIIIYSQLtG7JBdrRNric0S4pAQxM0K3j0l+EEtykUro4ziz2dWIKakR6i4vLukKsSQAJv7+/qKrY42ErSFwf783J16xprXG+DaWzGF0VIvOl1bLrk7aXOPIoG6XmSlvNGyFyClz7kbNq9CtyW4kXJfco24SS1iRNAAkzDZr7muNnwE/PhI2CwOApjGrtueJGWI2TfIMa0a8Gmn/XFYft1zybZc2bVczx4kZ9dpLShkDb2n5pC45kxgjEUniUm/pPmn1aaPkfNN3rO0DaziaSnvj3uHhYVWOmYfXa7p9d2y7RJWf3quTGABA365BVc726bk2NTnp9skNjavylq0Trk5p+klVTqd1vyYijum2ecVscGbFEWKJX4JJwLK8ohMQFAp+HuWaeh3YMq7XjkTSj8vZRW2oWxzx65ZdIoeGdPtvr25z+xza/7gq7972InMMn8xhZkonHrlsp++j2oodQzq4fJ9PvPM7//KVqvz8XZep8g+O6OQUAHDssE64kYisFXa9rjf1nEi0fJKIsTHdJ/N79ZizyUwAoGzG3cSob7uCWQ/t3Jue8etWKm2SiIg+d3+kLVsmQVU6EVnPI0msCCFkM8EnWIQQQgghhBDSJXiDRQghhBBCCCFdgjdYhBBCCCGEENIleqbBUtqViD7GYvUljYiWwepuYua49p33iTFtOrnvwEG3z/bt+l30vpw26j1x7Gm3jz11oeB1CctlbZxZq2ptwNClXpewWjH7GIPRdMvrWIpFrf+aW/amnnmj98pmtaamtqqNQQEAERNPFUvCx1I2ZpuDETNlq41aWtLXGNM9WZNpEX3umIav2TTGn00/Du1+tkrMJLMwpNvbGbzWfPtnjb5KIn/6SBudTcZUSub9GGtZTYfR5eQjuqeKmUcJRCabac5KU2tzUiGifzRt2TJm1gNDep4BwPKyNnC9ave1rs5KVXfKE0e1GW6z6ceLJG2f6Gveedkut89S5dyG18mU3tZo6LEbml7z1grG8Noct9bwuic7ppaWvXFszZid231KZWNuDaDZ0mNqblavN2Pj3mz2hhdcr8qX7rjK1Tly5Lgq731S6+Iaq34eZXJ6vMwvaqPtxuRJt8/27VtVOZf343vLoB5nc6v6OEdP+ONmoMdhX1L32exirC31uNwyPu7q5PK6T8ZNnRPT3sx6cVEbRFvtov0cADKjWovWn4jMifrZdasjQ6Nun4MnD6jyUEbP6di62zCa1FxMX93wpsyEELKZ4BMsQgghhBBCCOkSvMEihBBCCCGEkC7BGyxCCCGEEEII6RK90WAFoLnGAycl/h3slPEbahm9TMq/Qg5rA7R9wr8zvv+po6o8uTCtytaDCQCqZa0/Khk9Uiui9cqYe9eFmWlXx+pYcv36ffyTTx9xu+SNZ8iLrr1GlX96UnuvAMCTx/Q1p/L+GlvGX+hUVXueFPLaFwsArOQt3TIeURFfKRG90/KK1yM1jW5l544dqrx/3x63T8J4clltVCIyxlxs6YgfS1XHl09q/V0h46eQ1UAMGI+l2qr3clo13lkpeO1IaUX7r22Z0HqTqSWtEwGAdFprZq7YoedEIfjztGb1NQd4/5vEqvFsM/OmlPT9GqpmfJhJvGquDwDqTa0FnHvquKszFXR7lkv6OLlERA9m9FSZZb2+1DJaewQATaMzqy1GtHQ1PeYLWe0D1Ih5uCX0mKrX9XlGIjqiqtFlpSJrUCGhzx1yOt5kxmv2Mku67Sb69bzfulV7MAHA3KT2wVoa8GvFwgmtU33JL71Ylb/1nW+6fepNfU3WR+raK70e79RR48kVfCz7n9R1Lrlkpyqn694LsZDW/Vosah3X1RmvTTvR0rqsRtWPbynpPpg/ocf3Tb/8QrfPjw7pOmWjaZKIh9RWozX+7g9/6Or86rXXqfL0Ea1FGzXfNQCQC7qtUjXdR/WEb8tUxqzVtYjeKrIWE0LIZoJPsAghhBBCCCGkS/AGixBCCCGEEEK6BG+wCCGEEEIIIaRL8AaLEEIIIYQQQrpEb5JciCC5xhyx5b03UTVC43xOC71bEW9ia9x74zXXuzqTM9qscu7UlCr39Q+6fVbrRkRf06J/6fNJI0omaUE1Ytbab818a/qaWy0vEM4OaDH1VVdoU89Dcz6ZRtUk5cj2+3ibVWOIapKIxBJWVEwijP60TtJRXvRJF7Kmrerw17ja0O3dN6iF4K2IiNuaYgZjVlxveCPTnDEjrkZMgxOij2P7qF73Au2CSQyQyup26Y8YJYe6Hi/zNZ8IY6CwXZXLJb1PqMXGmI6/L63PnY2YK1++UycV+dYTPqmImGuqNrQovW4SNwBALWiRf6Kq4x9I6fkAAFt2aLPt5apv7z5jEpzM6+QO5bpv77pJDLBjTCdvWC57s9aEyaKzpeATG9RWzBw2CTgkkhTFGg0njIltiBmm2xwACW9GvCWv4x0d0okOrhzzRuYnTR6Gh/dr4/XpiDnxiUWdWGfLKZ8gZN4kEzoxr9eG2rJfByYK2hx3ZXpGlb/5zW+4fRYm9Xl+kvdjqtzSY6jy8OOq3Kz6uffPbvglVZ46NqnKh454s/nHj+l2qYjvo/6g59GcSYDzvce1kS8A7BC9vhSGdb8eOuITwTxsEh2NRUy9v/ntb+vjZvT6eGTGJ3UpLelrumrbiCqnVvyamq3qPklG/OqbiYi5OSGEbCL4BIsQQgghhBBCugRvsAghhBBCCCGkS/AGixBCCCGEEEK6RE80WCEE1Fd/pjPIJn0YSaNTaRhNSsSv09WpLPl3xq07bp/RNDUjWqnVVf2eedPoZTIRjUQq6HvXfMTcNxj9Ts7oM6aXZt0+w0VjTDmtNWTp4DU1w336GisNrwVomWtqWF1LRPeUN1quhuhjZCP6h7zRx5wue51WvamPs7CgdXPZpDdeXW7oPgjGpDRpXZ0BJIyQL5P28TaW9RgSoxvqS2kNBQDMTGsdyOyk7qNExsefNqK3wYI3gT1utBXFnK6Tt8I5AJcZbVGqqbUuM5Nzbp+tz9MGxuMRo9vyqh6bhTE9xqTqx0vSaBn7RLfdTMnrcL79/76uyqPbLnV1WiV93LkFHdvVo0W3z+SK1vPs/+4xVS70+32qRiw6d8q33Qt2aQ1n02i9apH1xXo918y6kBA/xlKmfftqfg1NJ/VxJoxZ+MKhU26f2X2HVbkxe1qVB6/WYwMAhpK6T4ayXpvW3DakysmUHruPPuW1RvmUjrdR0uvAJbu96fErb/1NVW5V/Jy2y3ViVMdyYK/WZAHA977+HVV+zHx19mf8eX7vNa/UdcYHXJ3Bul6XqmbdCkW/Dnz1s19Q5ekFrfUaiKwdf/h7d+jzjo24Oo2W1h2uTOl1rDmoNaAA8KkvfVmVT87rNWpnVuvoAKCS0OMyFfk7b6AEixCyyeETLEIIIYQQQgjpErzBIoQQQgghhJAuwRssQgghhBBCCOkSvMEihBBCCCGEkC7RkyQXAiCR/JlIu9n05qHZnE6g0DKq10guByChLyeZ9pdXMQbGrYo2y922/TK3T8kkOlhY0m6cq41I/AktTC+Z8wDAaEGLuEdGtLC+UfMJIFAzpqRGIN8S3zALdX2cbeM7XZ2MSRxx+qQWwLdS3nwzVLWBccMkwsgmvTjfirgHRryxc3NBm5lm03osRHI5AEm9MW2cWG3SCwAQk/eihYjRsLmmdEr/TaIVccke26KNP2+44QZVXlzxRqxP7tmv6yz6Ojt3aJH5QE6Pn5VTPmnBoT3aJHjHFXp85zK+jxIt3a+XDY+7Ok+XtAA+k9Ljx6c5AMQYOWeNMXUTvi1/+9aXqfIbXvPbrs6SmdOf/NTfqfLBHz0WiUV3/u+8/CWqfOst/8TtE8w8f9/HP+vqNBd08oyiMYXNR0zV63kzppI6YUJF/N/BbDqQVCTxi5jkH+lBPdcSKb9PaUXPva0FPfdecp023AWAatnMm5pPzlNK6zUzm9VG1A+XfcKQp40p/HBGz8XySW96fLyhk3Sk097wul7RnbCY1cedO+nnUbWsEwO1RvQIzzd9x4aSTm4zfdDHe2BeJ5ZYNObyzUhypMMzOr6K6bPh4Nex//1ZPVZ9OhkglzbfsSX9vVc2SUcAwOT8wdXj2ry6tRwxBk/axB7+ey4ZGc+EELKZ4BMsQgghhBBCCOkSvMEihBBCCCGEkC7BGyxCCCGEEEII6RISomKmC3xSkWkARzvFMQAzZ6lOfn7YthcOtu2Fhe174WDbXljYvt1nZwhhy7mrEULIxqAnN1gqAJEHQwg39zSIixS27YWDbXthYfteONi2Fxa2LyGEEL4iSAghhBBCCCFdgjdYhBBCCCGEENIlNsIN1n29DuAihm174WDbXljYvhcOtu2Fhe1LCCG/4PRcg0UIIYQQQgghFwsb4QkWIYQQQgghhFwU8AaLEEIIIYQQQrpEz26wRGRERD4nIiUROSoir+1VLJsZEcmKyP2dNlwWkZ+IyCvWfP4yEdkvImUR+ZaI7OxlvJsZEblaRFZF5JNrtr220/YlEfm8iIz0MsbNiIjcISL7Om14WERu6Wzn2D1PRGSXiHxVROZF5LSIvF9EUp3PbhKRhzrt+5CI3NTreDcyIvJmEXlQRKoi8jHz2TOO1c4a/RERWer0wZ8+58ETQgh5TunlE6wPAKgBmADwOgAfEpHrexjPZiUF4GkAtwIYBHA3gM90fliNAXgAwNsBjAB4EMCnexXoRcAHAPz4TKEzXj8M4A1oj+MygA/2JrTNiYj8BoD3APg3AAYAvATAkxy7XeODAKYAbANwE9rrxF0ikgHwBQCfBDAM4OMAvtDZTuKcBPAuAB9Zu3EdY/WdAK4GsBPArwP4TyLyW89BvIQQQnpET5JciEgBwDyA54cQDna2fQLAiRDC257zgC4yROQxAH8OYBTAH4QQfq2zvQBgBsALQgj7exjipkNE7gDwagB7AVwVQni9iPxXALtCCK/t1LkSwD4AoyGE5d5Fu3kQke8BuD+EcL/Z/iZw7J43IrIPwH8MIXy1U34vgCKA/wPgowAuCZ0vARE5BuBNIYSv9SrezYCIvAvtdvuDTvmsY1VETnY+/7+dz+8FcHUI4Y6eXAAhhJALTq+eYF0DoHHm5qrDowD4BOs8EZEJtNt3D9rt+eiZz0IIJQCHwXZ+VohIEcA9AOyrPbZ9D6P9VPaa5y66zYuIJAHcDGCLiBwSkeOdV9jy4NjtFv8NwB0i0iciOwC8AsDX0G7Hx4L+C9tjYPv+PDzjWBWRYbSfHj66pj6/6wgh5CKnVzdY/QCWzLZFtF8RIj8nIpIG8CkAH+/8lb8f7XZdC9v52XMv2k9ZjpvtbN/zYwJAGsBrANyC9itsL0D7NVe2bXf4e7R/zC8BOI7262ufB9u3m5ytLfvXlO1nhBBCLlJ6dYO1gvZrKmspAuBrVT8nIpIA8Am0n6C8ubOZ7XyedIT/LwfwvsjHbN/zo9L571+HEE6FEGYA/BWA28C2PW86a8LX0NYHFQCMoa23eg/Yvt3kbG25sqZsPyOEEHKR0qsbrIMAUiJy9ZptN6L9Wht5loiIALgf7ScCt4cQ6p2P9qDdrmfqFQBcCbbzs+GlAHYBOCYipwH8GYDbReRh+Pa9AkAW7fFNzkEIYR7tpyprX1M78/8cu+fPCIDLALw/hFANIcyirbu6De12vKGzdpzhBrB9fx6ecax2xviptZ+D33WEEHLR05MbrM476g8AuEdECiLyTwG8Eu0nMOTZ8yEA1wH43RBCZc32zwF4vojcLiI5AO9AW3fBJAHr5z60fyzd1Pn33wF8BcBvov065u+KyC2dH1X3AHiACS6eFR8F8BYRGe/oVd4K4Mvg2D1vOk8EnwJwp4ikRGQIwBvR1lp9G0ATwL/rpBE/89T7mz0JdhPQacMcgCSApIjkOinvzzVW/xeAu0VkWER2A/i3AD7Wg0sghBDyHNHLNO13AcijnUL4bwHcGULgX/WeJR2/lT9G+8f/aRFZ6fx7XQhhGsDtAN6NdtbGFwNg5qpnQQihHEI4feYf2q/8rIYQpjvj9U/QvtGaQltXcVcPw92M3It26vuDaGdgfATAuzl2u8arAfwWgGkAhwDUAbw1hFAD8CoA/xrAAoA/BPCqznYS5260X2t9G4DXd/7/7nWM1f+CdtKLowC+A+C9zNRICCEXNz1J004IIYQQQgghFyO9fIJFCCGEEEIIIRcVvMEihBBCCCGEkC7BGyxCCCGEEEII6RK8wSKEEEIIIYSQLsEbLEIIIYQQQgjpErzBIoQQQgghhJAuwRssQgghhBBCCOkSvMEihBBCCCGEkC7BGyxCCCGEEEII6RL/H5PR1EN6lCIKAAAAAElFTkSuQmCC\n", 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" ] }, "metadata": { "needs_background": "light" } } ], "source": [ "fig = plt.figure(figsize=(12, 8))\n", "gs = mpl.gridspec.GridSpec(nrows=1, ncols=2, width_ratios=[2, 1])\n", "\n", "ax1 = fig.add_subplot(gs[0, 0])\n", "ax1.set_title(\"Input\", fontsize=14)\n", "ax1.imshow(cropped_images[0]) # plot the 1st image\n", "ax2 = fig.add_subplot(gs[0, 1])\n", "ax2.set_title(\"Output\", fontsize=14)\n", "ax2.imshow(output[0]) # plot the output for the 1st image\n", "save_fig(\"china_max_pooling\")\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "id": "FGnX9uHg1FI0" }, "source": [ "## Average pooling" ] }, { "cell_type": "markdown", "source": [ "To create an average pooling layer, just use `AvgPool2D` instead of MaxPool2D. As you might expect, it works exactly like a max pooling layer, except it computes the mean rather than the max." ], "metadata": { "id": "Te-KAA0qAoa_" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "BGO2CN2c1FI0" }, "outputs": [], "source": [ "avg_pool = keras.layers.AvgPool2D(pool_size=2)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "kd5aRP_11FI0" }, "outputs": [], "source": [ "output_avg = avg_pool(cropped_images)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 305 }, "id": "_WCrVrDH1FI1", "outputId": "c47cbca5-d2b7-495f-e045-c50dec0fd50d" }, "outputs": [ { "output_type": "display_data", "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" } } ], "source": [ "fig = plt.figure(figsize=(12, 8))\n", "gs = mpl.gridspec.GridSpec(nrows=1, ncols=2, width_ratios=[2, 1])\n", "\n", "ax1 = fig.add_subplot(gs[0, 0])\n", "ax1.set_title(\"Input\", fontsize=14)\n", "ax1.imshow(cropped_images[0]) # plot the 1st image\n", "ax2 = fig.add_subplot(gs[0, 1])\n", "ax2.set_title(\"Output\", fontsize=14)\n", "ax2.imshow(output_avg[0]) # plot the output for the 1st image\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "id": "E4FUZHQi1FI1" }, "source": [ "## Global Average Pooling" ] }, { "cell_type": "markdown", "source": [ "One last type of pooling layer that you will often see in modern architectures is the global average pooling layer. It works very differently: all it does is compute the mean of each entire feature map (it’s like an average pooling layer using a pooling kernel with the same spatial dimensions as the inputs). **This means that it just outputs a single number per feature map and per instance.** Although this is of course extremely destructive (most of the information in the feature map is lost), it can be useful as the output layer. To create such a layer, simply use the `keras.layers.GlobalAvgPool2D` class:" ], "metadata": { "id": "hjafRatGA4_w" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "rS0P7MEu1FI1", "outputId": "bdd5d750-4438-4b1a-a475-b6d4ba0be5ea" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "" ] }, "metadata": {}, "execution_count": 28 } ], "source": [ "global_avg_pool = keras.layers.GlobalAvgPool2D()\n", "global_avg_pool(cropped_images)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "EXbqG6W21FI1", "outputId": "f5faaafa-3b7c-4ab3-89cf-9295241c825e" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "" ] }, "metadata": {}, "execution_count": 30 } ], "source": [ "# It is the same as using low level API to perform reduction\n", "output_global_avg2 = keras.layers.Lambda(lambda X: tf.reduce_mean(X, axis=[1, 2]))\n", "output_global_avg2(cropped_images)" ] }, { "cell_type": "markdown", "source": [ "Now you know all the building blocks to create a convolutional neural network. Let’s see how to assemble them." ], "metadata": { "id": "J9d6KWDFBy6e" } }, { "cell_type": "markdown", "metadata": { "id": "E1nE6NBU1FI1" }, "source": [ "# Tackling Fashion MNIST With a CNN" ] }, { "cell_type": "markdown", "source": [ "Before delving into the code, you can go through https://poloclub.github.io/cnn-explainer/ to make sure you understand every piece of CNN." ], "metadata": { "id": "1c7d6ngAqiIT" } }, { "cell_type": "markdown", "source": [ "Typical CNN architectures stack a few convolutional layers (each one generally followed by a ReLU layer), then a pooling layer, then another few convolutional layers (+ReLU), then another pooling layer, and so on. The image gets smaller and smaller as it progresses through the network, but it also typically gets deeper and deeper (i.e.,with more feature maps) thanks to the convolutional layers. At the top of the stack, a regular feedforward neural network is added, composed of a few fully connected layers (+ReLUs), and the final layer outputs the prediction (e.g., a softmax layer that outputs estimated class probabilities).\n", "\n", "

\n", "\"drawing\"\n", "

" ], "metadata": { "id": "Ffdc4bprB9PN" } }, { "cell_type": "markdown", "source": [ "Here is how you can implement a simple CNN to tackle the fashion MNIST dataset" ], "metadata": { "id": "aJts5H6rHgu6" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "VwGC_UD01FI2", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "9130dba0-0f16-4cbc-ac17-ad15ef3cb2b9" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/train-labels-idx1-ubyte.gz\n", "32768/29515 [=================================] - 0s 0us/step\n", "40960/29515 [=========================================] - 0s 0us/step\n", "Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/train-images-idx3-ubyte.gz\n", "26427392/26421880 [==============================] - 0s 0us/step\n", "26435584/26421880 [==============================] - 0s 0us/step\n", "Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/t10k-labels-idx1-ubyte.gz\n", "16384/5148 [===============================================================================================] - 0s 0us/step\n", "Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/t10k-images-idx3-ubyte.gz\n", "4423680/4422102 [==============================] - 0s 0us/step\n", "4431872/4422102 [==============================] - 0s 0us/step\n" ] }, { "output_type": "execute_result", "data": { "text/plain": [ "((55000, 28, 28, 1), (5000, 28, 28, 1), (10000, 28, 28, 1))" ] }, "metadata": {}, "execution_count": 21 } ], "source": [ "(X_train_full, y_train_full), (X_test, y_test) = keras.datasets.fashion_mnist.load_data()\n", "X_train, X_valid = X_train_full[:-5000], X_train_full[-5000:]\n", "y_train, y_valid = y_train_full[:-5000], y_train_full[-5000:]\n", "\n", "X_mean = X_train.mean(axis=0, keepdims=True)\n", "X_std = X_train.std(axis=0, keepdims=True) + 1e-7 # To avoid infinity after transformation\n", "X_train = (X_train - X_mean) / X_std\n", "X_valid = (X_valid - X_mean) / X_std\n", "X_test = (X_test - X_mean) / X_std\n", "\n", "X_train = X_train[..., np.newaxis]\n", "X_valid = X_valid[..., np.newaxis]\n", "X_test = X_test[..., np.newaxis]\n", "X_train.shape, X_valid.shape, X_test.shape" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "yZQNnNy61FI2" }, "outputs": [], "source": [ "from functools import partial\n", "\n", "DefaultConv2D = partial(keras.layers.Conv2D, kernel_size=3, activation='relu', padding=\"SAME\")\n", "\n", "model = keras.models.Sequential([\n", " DefaultConv2D(filters=32, input_shape=[28, 28, 1]),\n", " keras.layers.MaxPooling2D(pool_size=2),\n", " DefaultConv2D(filters=64),\n", " keras.layers.MaxPooling2D(pool_size=2),\n", " DefaultConv2D(filters=128),\n", " keras.layers.MaxPooling2D(pool_size=2),\n", " keras.layers.Flatten(),\n", " keras.layers.Dense(units=64, activation='relu'),\n", " keras.layers.Dropout(0.5),\n", " keras.layers.Dense(units=10, activation='softmax'),\n", "])" ] }, { "cell_type": "code", "source": [ "model.summary()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "2ezk9KC0h7dn", "outputId": "20514093-c840-4318-b2fd-df784ac709a4" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Model: \"sequential_4\"\n", "_________________________________________________________________\n", " Layer (type) Output Shape Param # \n", "=================================================================\n", " conv2d_66 (Conv2D) (None, 28, 28, 32) 320 \n", " \n", " max_pooling2d_19 (MaxPoolin (None, 14, 14, 32) 0 \n", " g2D) \n", " \n", " conv2d_67 (Conv2D) (None, 14, 14, 64) 18496 \n", " \n", " max_pooling2d_20 (MaxPoolin (None, 7, 7, 64) 0 \n", " g2D) \n", " \n", " conv2d_68 (Conv2D) (None, 7, 7, 128) 73856 \n", " \n", " max_pooling2d_21 (MaxPoolin (None, 3, 3, 128) 0 \n", " g2D) \n", " \n", " flatten_6 (Flatten) (None, 1152) 0 \n", " \n", " dense_12 (Dense) (None, 64) 73792 \n", " \n", " dropout_6 (Dropout) (None, 64) 0 \n", " \n", " dense_13 (Dense) (None, 10) 650 \n", " \n", "=================================================================\n", "Total params: 167,114\n", "Trainable params: 167,114\n", "Non-trainable params: 0\n", "_________________________________________________________________\n" ] } ] }, { "cell_type": "markdown", "source": [ "In this code, we start by using the `partial()` function to define a thin wrapper around the `Conv2D` class, called `DefaultConv2D`: it simply avoids having to repeat the same hyperparameter values over and over again.\n", "\n", "* The first layer sets `input_shape=[28, 28, 1]`, which means the images are 28 × 28 pixels, with a single color channel (i.e., grayscale).\n", "* Next, we have a max pooling layer, which divides each spatial dimension by a factor of two (since `pool_size=2`).\n", "* Then we repeat the same structure twice: convolutional layers followed by a max pooling layer. For larger images, we could repeat this structure several times (the number of repetitions is a hyperparameter you can tune).\n", "* Note that the number of filters grows as we climb up the CNN towards the output layer (it is initially 32, then 64, then 128): it makes sense for it to grow in the image setting, since the number of low level features is often fairly low (e.g., small circles, horizontal lines, etc.), but there are many different ways to combine them into higher level features. **It is a common practice to double the number of filters after each pooling layer: since a pooling layer divides each spatial dimension by a factor of 2**, we can afford doubling the number of feature maps in the next layer, without fear of exploding the number of parameters, memory usage, or computational load.\n", "* Next is the fully connected network, composed of 1 hidden dense layers and a dense output layer. **Note that we must flatten its inputs, since a dense network expects a 1D array of features for each instance**. We also add two dropout layers, with a dropout rate of 50% each, to reduce overfitting." ], "metadata": { "id": "j9PcwvTMHaw9" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "-6yQEZDz1FI2", "outputId": "27f7775a-5887-463f-f86e-289c0cf2128d" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Epoch 1/10\n", "1719/1719 [==============================] - 19s 10ms/step - loss: 0.6003 - accuracy: 0.7875 - val_loss: 0.3394 - val_accuracy: 0.8748\n", "Epoch 2/10\n", "1719/1719 [==============================] - 17s 10ms/step - loss: 0.3836 - accuracy: 0.8668 - val_loss: 0.2886 - val_accuracy: 0.8900\n", "Epoch 3/10\n", "1719/1719 [==============================] - 17s 10ms/step - loss: 0.3224 - accuracy: 0.8872 - val_loss: 0.2704 - val_accuracy: 0.9006\n", "Epoch 4/10\n", "1719/1719 [==============================] - 16s 9ms/step - loss: 0.2874 - accuracy: 0.8984 - val_loss: 0.2468 - val_accuracy: 0.9094\n", "Epoch 5/10\n", "1719/1719 [==============================] - 16s 10ms/step - loss: 0.2592 - accuracy: 0.9084 - val_loss: 0.2448 - val_accuracy: 0.9110\n", "Epoch 6/10\n", "1719/1719 [==============================] - 16s 10ms/step - loss: 0.2363 - accuracy: 0.9159 - val_loss: 0.2439 - val_accuracy: 0.9132\n", "Epoch 7/10\n", "1719/1719 [==============================] - 16s 10ms/step - loss: 0.2205 - accuracy: 0.9221 - val_loss: 0.2453 - val_accuracy: 0.9164\n", "Epoch 8/10\n", "1719/1719 [==============================] - 16s 10ms/step - loss: 0.2056 - accuracy: 0.9245 - val_loss: 0.2514 - val_accuracy: 0.9200\n", "Epoch 9/10\n", "1719/1719 [==============================] - 17s 10ms/step - loss: 0.1934 - accuracy: 0.9282 - val_loss: 0.2471 - val_accuracy: 0.9214\n", "Epoch 10/10\n", "1719/1719 [==============================] - 16s 10ms/step - loss: 0.1810 - accuracy: 0.9332 - val_loss: 0.2488 - val_accuracy: 0.9208\n", "313/313 [==============================] - 1s 5ms/step - loss: 0.2695 - accuracy: 0.9140\n" ] } ], "source": [ "model.compile(loss=\"sparse_categorical_crossentropy\", optimizer=\"nadam\", metrics=[\"accuracy\"])\n", "history = model.fit(X_train, y_train, epochs=10, validation_data=(X_valid, y_valid))\n", "score = model.evaluate(X_test, y_test)\n", "X_new = X_test[:10] # pretend we have new images\n", "y_pred = model.predict(X_new)" ] }, { "cell_type": "markdown", "source": [ "This CNN reaches over 91% accuracy on the test set. It’s not the state of the art, but it is pretty good, and better than what we achieved with dense networks with smaller number of parameters!" ], "metadata": { "id": "kdXagjaSI6Dd" } }, { "cell_type": "markdown", "source": [ "# Training a convnet from scratch on a small dataset\n", "\n", "Having to train an image-classification model using **very little data is a common situation, which you’ll likely encounter in practice** if you ever do computer vision in a professional context. A “few” samples can mean anywhere from a few hundred to a few tens of thousands of images. As a practical example, we’ll focus on classifying images as dogs or cats in a dataset containing 5,000 pictures of cats and dogs (2,500 cats, 2,500 dogs). We’ll use 2,000 pictures for training, 1,000 for validation, and 2,000 for testing.\n", "\n", "In this section, we’ll review one basic strategy to tackle this problem: training a new model from scratch using what little data you have. We’ll start by naively training a small convnet on the 2,000 training samples, without any regularization, to set a baseline for what can be achieved. This will get us to a classification accuracy of about 70%. At that point, the main issue will be overfitting. Then we’ll introduce data augmentation, a powerful technique for mitigating overfitting in computer vision. By using data augmentation, we’ll improve the model to reach an accuracy of 80–85%. " ], "metadata": { "id": "2fcatJ3nO7F-" } }, { "cell_type": "markdown", "source": [ "## The relevance of deep learning for small-data problems\n", "What qualifies as “enough samples” to train a model is relative— relative to the size and depth of the model you’re trying to train, for starters. It isn’t possible to train a convnet to solve a complex problem with just a few tens of samples, **but a few hundred can potentially suffice if the model is small and well regularized and the task is simple.**\n", "\n", "Because convnets learn local, translation-invariant features, they’re highly data-efficient on perceptual problems. Training a convnet from scratch on a very small image dataset will yield reasonable results despite a relative lack of data, without the need for any custom feature engineering. You’ll see this in action in this section." ], "metadata": { "id": "s6TyqiIIPh4G" } }, { "cell_type": "markdown", "source": [ "## Downloading the data\n", "\n", "The Dogs vs. Cats dataset that we will use isn’t packaged with Keras. It was made available by Kaggle as part of a computer vision competition in late 2013, back when convnets weren’t mainstream. You can download the original dataset from www.kaggle.com/c/dogs-vs-cats/data.\n", "\n", "But you can also use Kaggle API. First, you need to create a Kaggle API key and download it to your local machine. Just navigate to the Kaggle website in a web browser, log in, and go to the My Account page. In your account settings, you’ll find an API section. Clicking the Create New API Token button will generate a kaggle.json key file and will download it to your machine.\n", "\n", "

\n", "\"drawing\"\n", "

" ], "metadata": { "id": "dnFEHWflQNt-" } }, { "cell_type": "code", "source": [ "# Upload the API’s key JSON file to your Colab\n", "# session by running the following code in a notebook cell:\n", "from google.colab import files\n", "files.upload()" ], "metadata": { "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": "" } }, "base_uri": "https://localhost:8080/", "height": 93 }, "id": "HCmvieoXQMmt", "outputId": "446f3b0a-f281-4f20-ef66-0610b335a4d0" }, "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/html": [ "\n", " \n", " \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", " \n", " " ], "text/plain": [ "" ] }, "metadata": {} }, { "output_type": "stream", "name": "stdout", "text": [ "Saving kaggle.json to kaggle.json\n" ] }, { "output_type": "execute_result", "data": { "text/plain": [ "{'kaggle.json': b'{\"username\":\"phonchi\",\"key\":\"883eb6649ccc78f8395a3efb112b9670\"}'}" ] }, "metadata": {}, "execution_count": 42 } ] }, { "cell_type": "markdown", "source": [ "Finally, create a `~/.kaggle` folder, and copy the key file to it. As a security best practice, you should also make sure that the file is only readable by the current user, yourself:" ], "metadata": { "id": "zArXzoEhRy2V" } }, { "cell_type": "code", "source": [ "!mkdir ~/.kaggle\n", "!cp kaggle.json ~/.kaggle/\n", "!chmod 600 ~/.kaggle/kaggle.json" ], "metadata": { "id": "3p_FvdDcSC5I" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "# You can now download the data we’re about to use:\n", "!kaggle competitions download -c dogs-vs-cats" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "Ncja_yEuSTBd", "outputId": "f814dd78-4e2f-443d-d441-ca399f7969ed" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Warning: Looks like you're using an outdated API Version, please consider updating (server 1.5.12 / client 1.5.4)\n", "Downloading sampleSubmission.csv to /content\n", " 0% 0.00/86.8k [00:00" ] }, "metadata": { "needs_background": "light" } }, { "output_type": "display_data", "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" } } ] }, { "cell_type": "markdown", "source": [ "These plots **are characteristic of overfitting**. The training accuracy increases linearly over time, until it reaches nearly 100%, whereas the validation accuracy peaks at 74%. The validation loss reaches its minimum after only ten epochs and then stalls, whereas the training loss keeps decreasing linearly as training proceeds.\n", "\n", "Let’s check the test accuracy. We’ll reload the model from its saved file to evaluate it as it was before it started overfitting." ], "metadata": { "id": "doYdqcRnokiH" } }, { "cell_type": "code", "source": [ "test_model = keras.models.load_model(\"convnet_from_scratch.keras\")\n", "test_loss, test_acc = test_model.evaluate(test_dataset)\n", "print(f\"Test accuracy: {test_acc:.3f}\")" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "nUNQqctGnxaJ", "outputId": "ef37f511-867d-4c43-9774-61fefde61ea9" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "63/63 [==============================] - 4s 55ms/step - loss: 0.6284 - accuracy: 0.6775\n", "Test accuracy: 0.678\n" ] } ] }, { "cell_type": "markdown", "source": [ "We get a test accuracy of about 68%. Because we have relatively few training samples (2,000), overfitting will be our number one concern. You already know about a number of techniques that can help mitigate overfitting, such as dropout and weight decay (L2 regularization). We’re now\n", "going to work with a new one, specific to computer vision and used almost universally when processing images with deep learning models: data augmentation." ], "metadata": { "id": "pFdK1_42o4k2" } }, { "cell_type": "markdown", "source": [ "## Using data augmentation" ], "metadata": { "id": "r3HJ3GYenkjH" } }, { "cell_type": "markdown", "source": [ "Overfitting is caused by having too few samples to learn from, rendering you unable to train a model that can generalize to new data. Given infinite data, your model\n", "would be exposed to every possible aspect of the data distribution at hand: you would never overfit. Data augmentation takes the approach of generating more training data from existing training samples by augmenting the samples via a number of random transformations that yield believable-looking images. \n", "\n", "The goal is that, at training time, your model will never see the exact same picture twice. This helps expose the model\n", "to more aspects of the data so it can generalize better.\n", "In Keras, **this can be done by adding a number of data augmentation layers at the start of your model**. Let’s get started with an example: the following Sequential model\n", "chains several random image transformations. In our model, we’d include it right before the Rescaling layer." ], "metadata": { "id": "mhjSy21zpJT7" } }, { "cell_type": "code", "source": [ "data_augmentation = keras.Sequential(\n", " [\n", " keras.layers.RandomFlip(\"horizontal\"),\n", " keras.layers.RandomRotation(0.1),\n", " keras.layers.RandomZoom(0.2),\n", " ]\n", ")" ], "metadata": { "id": "80I07zjkn1TC" }, "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "source": [ "Let’s quickly go over this code:\n", "* `RandomFlip(\"horizontal\")`—Applies horizontal flipping to a random 50% of the images that go through it\n", "* `RandomRotation(0.1)`—Rotates the input images by a random value in the range `[–10%, +10%]` (these are fractions of a full circle—in degrees, the range would be `[–36 degrees, +36 degrees]`)\n", "* `RandomZoom(0.2)`—Zooms in or out of the image by a random factor in the range `[-20%, +20%]`\n", "\n", "https://www.tensorflow.org/guide/keras/preprocessing_layers#image_data_augmentation" ], "metadata": { "id": "XulQ9PYYpfWi" } }, { "cell_type": "code", "source": [ "plt.figure(figsize=(10, 10))\n", "for images, _ in train_dataset.take(1): #Sample 1 batch from the dataset\n", " for i in range(9):\n", " # During inference time, the output will be identical to input. \n", " # Call the layer with training=True to flip the input.\n", " augmented_images = data_augmentation(images, training=True)\n", " ax = plt.subplot(3, 3, i + 1)\n", " plt.imshow(augmented_images[0].numpy().astype(\"uint8\"))\n", " plt.axis(\"off\")" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 575 }, "id": "y8Od4qkSn324", "outputId": "ee41512f-80e8-4319-a57a-1807187c99c3" }, "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" } } ] }, { "cell_type": "markdown", "source": [ "If we train a new model using this data-augmentation configuration, the model will never see the same input twice. But the inputs it sees are still heavily intercorrelated because they come from a small number of original images—we can’t produce new information; we can only remix existing information. As such, this may not be enough to completely get rid of overfitting. To further fight overfitting, we’ll also add a Dropout layer to our model right before the densely connected classifier.\n", "\n", "One last thing you should know about random image augmentation layers: just like Dropout, they’re inactive during inference (when we call `predict()` or `evaluate()`).\n", "During evaluation, our model will behave just the same as when it did not include data augmentation and dropout." ], "metadata": { "id": "nw7C16MBss-v" } }, { "cell_type": "code", "source": [ "inputs = keras.Input(shape=(180, 180, 3))\n", "x = data_augmentation(inputs)\n", "x = keras.layers.Rescaling(1./255)(x)\n", "x = keras.layers.Conv2D(filters=32, kernel_size=3, activation=\"relu\")(x)\n", "x = keras.layers.MaxPooling2D(pool_size=2)(x)\n", "x = keras.layers.Conv2D(filters=64, kernel_size=3, activation=\"relu\")(x)\n", "x = keras.layers.MaxPooling2D(pool_size=2)(x)\n", "x = keras.layers.Conv2D(filters=128, kernel_size=3, activation=\"relu\")(x)\n", "x = keras.layers.MaxPooling2D(pool_size=2)(x)\n", "x = keras.layers.Conv2D(filters=256, kernel_size=3, activation=\"relu\")(x)\n", "x = keras.layers.MaxPooling2D(pool_size=2)(x)\n", "x = keras.layers.Conv2D(filters=256, kernel_size=3, activation=\"relu\")(x)\n", "x = keras.layers.Flatten()(x)\n", "x = keras.layers.Dropout(0.5)(x)\n", "outputs = keras.layers.Dense(1, activation=\"sigmoid\")(x)\n", "model = keras.Model(inputs=inputs, outputs=outputs)\n", "\n", "model.compile(loss=\"binary_crossentropy\",\n", " optimizer=\"nadam\",\n", " metrics=[\"accuracy\"])" ], "metadata": { "id": "Y1kC5dIZn6mG" }, "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "source": [ "Let’s train the model using data augmentation and dropout. **Because we expect overfitting to occur much later during training**, we will train for three times as many\n", "epochs—one hundred." ], "metadata": { "id": "rIXHvKaus8Ot" } }, { "cell_type": "code", "source": [ "callbacks = [\n", " keras.callbacks.ModelCheckpoint(\n", " filepath=\"convnet_from_scratch_with_augmentation.keras\",\n", " save_best_only=True,\n", " monitor=\"val_loss\")\n", "]\n", "history = model.fit(\n", " train_dataset,\n", " epochs=100,\n", " validation_data=validation_dataset,\n", " callbacks=callbacks)" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "_vE0vKmXoCDr", "outputId": "acbbeeb3-67e6-41ee-d617-e80fb4a9aad4" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Epoch 1/100\n", "63/63 [==============================] - 14s 160ms/step - loss: 0.6970 - accuracy: 0.5035 - val_loss: 0.6914 - val_accuracy: 0.5100\n", "Epoch 2/100\n", "63/63 [==============================] - 10s 149ms/step - loss: 0.6937 - accuracy: 0.4760 - val_loss: 0.6922 - val_accuracy: 0.5000\n", "Epoch 3/100\n", "63/63 [==============================] - 8s 120ms/step - loss: 0.6982 - accuracy: 0.5125 - val_loss: 0.6927 - val_accuracy: 0.5440\n", "Epoch 4/100\n", "63/63 [==============================] - 8s 120ms/step - loss: 0.6930 - accuracy: 0.5195 - val_loss: 0.6917 - val_accuracy: 0.5370\n", "Epoch 5/100\n", "63/63 [==============================] - 8s 121ms/step - loss: 0.6970 - accuracy: 0.5400 - val_loss: 0.6954 - val_accuracy: 0.5000\n", "Epoch 6/100\n", "63/63 [==============================] - 8s 121ms/step - loss: 0.6909 - accuracy: 0.5170 - val_loss: 0.6827 - val_accuracy: 0.5700\n", "Epoch 7/100\n", "63/63 [==============================] - 10s 152ms/step - loss: 0.6906 - accuracy: 0.5330 - val_loss: 0.6858 - val_accuracy: 0.5410\n", "Epoch 8/100\n", "63/63 [==============================] - 10s 156ms/step - loss: 0.6837 - accuracy: 0.5595 - val_loss: 0.6903 - val_accuracy: 0.5140\n", "Epoch 9/100\n", "63/63 [==============================] - 8s 123ms/step - loss: 0.6867 - accuracy: 0.5715 - val_loss: 0.7237 - val_accuracy: 0.5350\n", "Epoch 10/100\n", "63/63 [==============================] - 8s 120ms/step - loss: 0.6697 - accuracy: 0.5940 - val_loss: 0.6613 - val_accuracy: 0.5660\n", "Epoch 11/100\n", "63/63 [==============================] - 8s 126ms/step - loss: 0.6589 - accuracy: 0.5995 - val_loss: 0.6342 - val_accuracy: 0.6640\n", "Epoch 12/100\n", "63/63 [==============================] - 8s 121ms/step - loss: 0.6400 - accuracy: 0.6460 - val_loss: 0.6292 - val_accuracy: 0.6620\n", "Epoch 13/100\n", "63/63 [==============================] - 8s 123ms/step - loss: 0.6385 - accuracy: 0.6395 - val_loss: 0.6704 - val_accuracy: 0.6250\n", "Epoch 14/100\n", "63/63 [==============================] - 8s 119ms/step - loss: 0.6231 - accuracy: 0.6590 - val_loss: 0.6809 - val_accuracy: 0.6440\n", "Epoch 15/100\n", "63/63 [==============================] - 8s 120ms/step - loss: 0.6168 - accuracy: 0.6680 - val_loss: 0.5840 - val_accuracy: 0.6940\n", "Epoch 16/100\n", "63/63 [==============================] - 8s 119ms/step - loss: 0.5984 - accuracy: 0.6835 - val_loss: 0.6438 - val_accuracy: 0.6520\n", "Epoch 17/100\n", "63/63 [==============================] - 9s 133ms/step - loss: 0.5956 - accuracy: 0.6795 - val_loss: 0.6117 - val_accuracy: 0.6730\n", "Epoch 18/100\n", "63/63 [==============================] - 8s 119ms/step - loss: 0.6240 - accuracy: 0.6685 - val_loss: 0.6052 - val_accuracy: 0.6790\n", "Epoch 19/100\n", "63/63 [==============================] - 8s 120ms/step - loss: 0.5915 - accuracy: 0.6900 - val_loss: 0.5870 - val_accuracy: 0.6900\n", "Epoch 20/100\n", "63/63 [==============================] - 8s 120ms/step - loss: 0.5808 - accuracy: 0.6925 - val_loss: 0.5778 - val_accuracy: 0.6950\n", "Epoch 21/100\n", "63/63 [==============================] - 8s 121ms/step - loss: 0.5626 - accuracy: 0.7105 - val_loss: 0.5486 - val_accuracy: 0.7300\n", "Epoch 22/100\n", "63/63 [==============================] - 8s 121ms/step - loss: 0.5615 - accuracy: 0.7260 - val_loss: 0.5213 - val_accuracy: 0.7450\n", "Epoch 23/100\n", "63/63 [==============================] - 8s 125ms/step - loss: 0.5533 - accuracy: 0.7140 - val_loss: 0.5771 - val_accuracy: 0.7120\n", "Epoch 24/100\n", "63/63 [==============================] - 8s 120ms/step - loss: 0.5221 - accuracy: 0.7495 - val_loss: 0.6495 - val_accuracy: 0.6850\n", "Epoch 25/100\n", "63/63 [==============================] - 8s 121ms/step - loss: 0.5078 - accuracy: 0.7490 - val_loss: 0.5040 - val_accuracy: 0.7600\n", "Epoch 26/100\n", "63/63 [==============================] - 8s 121ms/step - loss: 0.4995 - accuracy: 0.7555 - val_loss: 0.4820 - val_accuracy: 0.7610\n", "Epoch 27/100\n", "63/63 [==============================] - 8s 122ms/step - loss: 0.4710 - accuracy: 0.7775 - val_loss: 0.4794 - val_accuracy: 0.7670\n", "Epoch 28/100\n", "63/63 [==============================] - 8s 121ms/step - loss: 0.4733 - accuracy: 0.7730 - val_loss: 0.4611 - val_accuracy: 0.7790\n", "Epoch 29/100\n", "63/63 [==============================] - 8s 123ms/step - loss: 0.4472 - accuracy: 0.7825 - val_loss: 0.6814 - val_accuracy: 0.6950\n", "Epoch 30/100\n", "63/63 [==============================] - 8s 120ms/step - loss: 0.5390 - accuracy: 0.7535 - val_loss: 0.5075 - val_accuracy: 0.7490\n", "Epoch 31/100\n", "63/63 [==============================] - 8s 119ms/step - loss: 0.4649 - accuracy: 0.7855 - val_loss: 0.4755 - val_accuracy: 0.7860\n", "Epoch 32/100\n", "63/63 [==============================] - 8s 120ms/step - loss: 0.4547 - accuracy: 0.7900 - val_loss: 0.4706 - val_accuracy: 0.7830\n", "Epoch 33/100\n", "63/63 [==============================] - 8s 120ms/step - loss: 0.4269 - accuracy: 0.7980 - val_loss: 0.5419 - val_accuracy: 0.7470\n", "Epoch 34/100\n", "63/63 [==============================] - 8s 121ms/step - loss: 0.4329 - accuracy: 0.8060 - val_loss: 0.5023 - val_accuracy: 0.7790\n", "Epoch 35/100\n", "63/63 [==============================] - 8s 126ms/step - loss: 0.4229 - accuracy: 0.8015 - val_loss: 0.4922 - val_accuracy: 0.7860\n", "Epoch 36/100\n", "63/63 [==============================] - 8s 120ms/step - loss: 0.3957 - accuracy: 0.8205 - val_loss: 0.5407 - val_accuracy: 0.7560\n", "Epoch 37/100\n", "63/63 [==============================] - 8s 120ms/step - loss: 0.3853 - accuracy: 0.8280 - val_loss: 0.4625 - val_accuracy: 0.8040\n", "Epoch 38/100\n", "63/63 [==============================] - 8s 121ms/step - loss: 0.3839 - accuracy: 0.8255 - val_loss: 0.4669 - val_accuracy: 0.8070\n", "Epoch 39/100\n", "63/63 [==============================] - 8s 122ms/step - loss: 0.3792 - accuracy: 0.8300 - val_loss: 0.4287 - val_accuracy: 0.8130\n", "Epoch 40/100\n", "63/63 [==============================] - 8s 120ms/step - loss: 0.3655 - accuracy: 0.8400 - val_loss: 0.4525 - val_accuracy: 0.8020\n", "Epoch 41/100\n", "63/63 [==============================] - 8s 121ms/step - loss: 0.3658 - accuracy: 0.8465 - val_loss: 0.6059 - val_accuracy: 0.7420\n", "Epoch 42/100\n", "63/63 [==============================] - 8s 120ms/step - loss: 0.3542 - accuracy: 0.8485 - val_loss: 0.4451 - val_accuracy: 0.8110\n", "Epoch 43/100\n", "63/63 [==============================] - 8s 120ms/step - loss: 0.3312 - accuracy: 0.8605 - val_loss: 0.4723 - val_accuracy: 0.8000\n", "Epoch 44/100\n", "63/63 [==============================] - 8s 120ms/step - loss: 0.3238 - accuracy: 0.8635 - val_loss: 0.4316 - val_accuracy: 0.8220\n", "Epoch 45/100\n", "63/63 [==============================] - 8s 120ms/step - loss: 0.3206 - accuracy: 0.8585 - val_loss: 0.5575 - val_accuracy: 0.7720\n", "Epoch 46/100\n", "63/63 [==============================] - 8s 120ms/step - loss: 0.3231 - accuracy: 0.8590 - val_loss: 0.4805 - val_accuracy: 0.7920\n", "Epoch 47/100\n", "63/63 [==============================] - 8s 120ms/step - loss: 0.3231 - accuracy: 0.8570 - val_loss: 0.4713 - val_accuracy: 0.8090\n", "Epoch 48/100\n", "63/63 [==============================] - 8s 122ms/step - loss: 0.3265 - accuracy: 0.8540 - val_loss: 0.4185 - val_accuracy: 0.8440\n", "Epoch 49/100\n", "63/63 [==============================] - 8s 120ms/step - loss: 0.2924 - accuracy: 0.8760 - val_loss: 0.4675 - val_accuracy: 0.8050\n", "Epoch 50/100\n", "63/63 [==============================] - 8s 119ms/step - loss: 0.2903 - accuracy: 0.8755 - val_loss: 0.4761 - val_accuracy: 0.8260\n", "Epoch 51/100\n", "63/63 [==============================] - 8s 120ms/step - loss: 0.2839 - accuracy: 0.8725 - val_loss: 0.4208 - val_accuracy: 0.8370\n", "Epoch 52/100\n", "63/63 [==============================] - 8s 120ms/step - loss: 0.3001 - accuracy: 0.8720 - val_loss: 0.4432 - val_accuracy: 0.8190\n", "Epoch 53/100\n", "63/63 [==============================] - 8s 122ms/step - loss: 0.2747 - accuracy: 0.8820 - val_loss: 0.4864 - val_accuracy: 0.8040\n", "Epoch 54/100\n", "63/63 [==============================] - 8s 120ms/step - loss: 0.2847 - accuracy: 0.8885 - val_loss: 0.4743 - val_accuracy: 0.8020\n", "Epoch 55/100\n", "63/63 [==============================] - 8s 120ms/step - loss: 0.2631 - accuracy: 0.8840 - val_loss: 0.4608 - val_accuracy: 0.8160\n", "Epoch 56/100\n", "63/63 [==============================] - 8s 120ms/step - loss: 0.2519 - accuracy: 0.9020 - val_loss: 0.4252 - val_accuracy: 0.8370\n", "Epoch 57/100\n", "63/63 [==============================] - 8s 121ms/step - loss: 0.2659 - accuracy: 0.8905 - val_loss: 0.4815 - val_accuracy: 0.8190\n", "Epoch 58/100\n", "63/63 [==============================] - 8s 123ms/step - loss: 0.2640 - accuracy: 0.8955 - val_loss: 0.4530 - val_accuracy: 0.8370\n", "Epoch 59/100\n", "63/63 [==============================] - 8s 120ms/step - loss: 0.2593 - accuracy: 0.8890 - val_loss: 0.4463 - val_accuracy: 0.8410\n", "Epoch 60/100\n", "63/63 [==============================] - 8s 120ms/step - loss: 0.2483 - accuracy: 0.8965 - val_loss: 0.4373 - val_accuracy: 0.8470\n", "Epoch 61/100\n", "63/63 [==============================] - 8s 121ms/step - loss: 0.2381 - accuracy: 0.9020 - val_loss: 0.4880 - val_accuracy: 0.8300\n", "Epoch 62/100\n", "63/63 [==============================] - 8s 122ms/step - loss: 0.2411 - accuracy: 0.9060 - val_loss: 0.4227 - val_accuracy: 0.8380\n", "Epoch 63/100\n", "63/63 [==============================] - 8s 123ms/step - loss: 0.2355 - accuracy: 0.8990 - val_loss: 0.4169 - val_accuracy: 0.8470\n", "Epoch 64/100\n", "63/63 [==============================] - 8s 121ms/step - loss: 0.2274 - accuracy: 0.9075 - val_loss: 0.4898 - val_accuracy: 0.8220\n", "Epoch 65/100\n", "63/63 [==============================] - 8s 121ms/step - loss: 0.2157 - accuracy: 0.9180 - val_loss: 0.4329 - val_accuracy: 0.8310\n", "Epoch 66/100\n", "63/63 [==============================] - 8s 120ms/step - loss: 0.2295 - accuracy: 0.9025 - val_loss: 0.4679 - val_accuracy: 0.8240\n", "Epoch 67/100\n", "63/63 [==============================] - 8s 120ms/step - loss: 0.2274 - accuracy: 0.9095 - val_loss: 0.5019 - val_accuracy: 0.8250\n", "Epoch 68/100\n", "63/63 [==============================] - 8s 121ms/step - loss: 0.2118 - accuracy: 0.9075 - val_loss: 0.4187 - val_accuracy: 0.8410\n", "Epoch 69/100\n", "63/63 [==============================] - 8s 120ms/step - loss: 0.2050 - accuracy: 0.9190 - val_loss: 0.4977 - val_accuracy: 0.8220\n", "Epoch 70/100\n", "63/63 [==============================] - 8s 122ms/step - loss: 0.1993 - accuracy: 0.9200 - val_loss: 0.4321 - val_accuracy: 0.8340\n", "Epoch 71/100\n", "63/63 [==============================] - 8s 121ms/step - loss: 0.1852 - accuracy: 0.9265 - val_loss: 0.4865 - val_accuracy: 0.8520\n", "Epoch 72/100\n", "63/63 [==============================] - 8s 120ms/step - loss: 0.1992 - accuracy: 0.9200 - val_loss: 0.4815 - val_accuracy: 0.8390\n", "Epoch 73/100\n", "63/63 [==============================] - 8s 120ms/step - loss: 0.1903 - accuracy: 0.9195 - val_loss: 0.5276 - val_accuracy: 0.8300\n", "Epoch 74/100\n", "63/63 [==============================] - 8s 120ms/step - loss: 0.1942 - accuracy: 0.9235 - val_loss: 0.4900 - val_accuracy: 0.8450\n", "Epoch 75/100\n", "63/63 [==============================] - 8s 122ms/step - loss: 0.1835 - accuracy: 0.9250 - val_loss: 0.5083 - val_accuracy: 0.8500\n", "Epoch 76/100\n", "63/63 [==============================] - 8s 120ms/step - loss: 0.1947 - accuracy: 0.9225 - val_loss: 0.4472 - val_accuracy: 0.8380\n", "Epoch 77/100\n", "63/63 [==============================] - 8s 121ms/step - loss: 0.1481 - accuracy: 0.9425 - val_loss: 0.4831 - val_accuracy: 0.8470\n", "Epoch 78/100\n", "63/63 [==============================] - 8s 121ms/step - loss: 0.1787 - accuracy: 0.9245 - val_loss: 0.5322 - val_accuracy: 0.8410\n", "Epoch 79/100\n", "63/63 [==============================] - 8s 121ms/step - loss: 0.1701 - accuracy: 0.9320 - val_loss: 0.5384 - val_accuracy: 0.8280\n", "Epoch 80/100\n", "63/63 [==============================] - 8s 121ms/step - loss: 0.1772 - accuracy: 0.9255 - val_loss: 0.5508 - val_accuracy: 0.8310\n", "Epoch 81/100\n", "63/63 [==============================] - 8s 121ms/step - loss: 0.1680 - accuracy: 0.9360 - val_loss: 0.5560 - val_accuracy: 0.8250\n", "Epoch 82/100\n", "63/63 [==============================] - 8s 120ms/step - loss: 0.1760 - accuracy: 0.9295 - val_loss: 0.5094 - val_accuracy: 0.8380\n", "Epoch 83/100\n", "63/63 [==============================] - 8s 120ms/step - loss: 0.1506 - accuracy: 0.9405 - val_loss: 0.5055 - val_accuracy: 0.8410\n", "Epoch 84/100\n", "63/63 [==============================] - 8s 121ms/step - loss: 0.1497 - accuracy: 0.9390 - val_loss: 0.6404 - val_accuracy: 0.8300\n", "Epoch 85/100\n", "63/63 [==============================] - 8s 123ms/step - loss: 0.1443 - accuracy: 0.9405 - val_loss: 0.5444 - val_accuracy: 0.8420\n", "Epoch 86/100\n", "63/63 [==============================] - 8s 121ms/step - loss: 0.1455 - accuracy: 0.9470 - val_loss: 0.6004 - val_accuracy: 0.8240\n", "Epoch 87/100\n", "63/63 [==============================] - 8s 120ms/step - loss: 0.1412 - accuracy: 0.9450 - val_loss: 0.5404 - val_accuracy: 0.8480\n", "Epoch 88/100\n", "63/63 [==============================] - 8s 120ms/step - loss: 0.1655 - accuracy: 0.9360 - val_loss: 0.5619 - val_accuracy: 0.8410\n", "Epoch 89/100\n", "63/63 [==============================] - 8s 120ms/step - loss: 0.1554 - accuracy: 0.9390 - val_loss: 0.6476 - val_accuracy: 0.8230\n", "Epoch 90/100\n", "63/63 [==============================] - 8s 121ms/step - loss: 0.1418 - accuracy: 0.9440 - val_loss: 0.5235 - val_accuracy: 0.8530\n", "Epoch 91/100\n", "63/63 [==============================] - 8s 121ms/step - loss: 0.1314 - accuracy: 0.9490 - val_loss: 0.5243 - val_accuracy: 0.8560\n", "Epoch 92/100\n", "63/63 [==============================] - 8s 121ms/step - loss: 0.1415 - accuracy: 0.9435 - val_loss: 0.6822 - val_accuracy: 0.8070\n", "Epoch 93/100\n", "63/63 [==============================] - 8s 121ms/step - loss: 0.1883 - accuracy: 0.9300 - val_loss: 0.5662 - val_accuracy: 0.8540\n", "Epoch 94/100\n", "63/63 [==============================] - 8s 121ms/step - loss: 0.1595 - accuracy: 0.9365 - val_loss: 0.5009 - val_accuracy: 0.8530\n", "Epoch 95/100\n", "63/63 [==============================] - 8s 121ms/step - loss: 0.1130 - accuracy: 0.9560 - val_loss: 0.6317 - val_accuracy: 0.8430\n", "Epoch 96/100\n", "63/63 [==============================] - 8s 120ms/step - loss: 0.1363 - accuracy: 0.9450 - val_loss: 0.6609 - val_accuracy: 0.8390\n", "Epoch 97/100\n", "63/63 [==============================] - 8s 122ms/step - loss: 0.1362 - accuracy: 0.9435 - val_loss: 0.5259 - val_accuracy: 0.8670\n", "Epoch 98/100\n", "63/63 [==============================] - 8s 121ms/step - loss: 0.1313 - accuracy: 0.9510 - val_loss: 0.5774 - val_accuracy: 0.8540\n", "Epoch 99/100\n", "63/63 [==============================] - 9s 132ms/step - loss: 0.1408 - accuracy: 0.9455 - val_loss: 0.6508 - val_accuracy: 0.8180\n", "Epoch 100/100\n", "63/63 [==============================] - 10s 154ms/step - loss: 0.1411 - accuracy: 0.9460 - val_loss: 0.5723 - val_accuracy: 0.8530\n" ] } ] }, { "cell_type": "markdown", "source": [ "Let’s plot the results again: Thanks to data augmentation and dropout, we start overfitting much later, around epochs 60–70 (compared to epoch 10 for the original model). The validation accuracy ends up consistently in the 80–85% range—a big improvement over our first try." ], "metadata": { "id": "QTj0ohWRtJOQ" } }, { "cell_type": "code", "source": [ "accuracy = history.history[\"accuracy\"]\n", "val_accuracy = history.history[\"val_accuracy\"]\n", "loss = history.history[\"loss\"]\n", "val_loss = history.history[\"val_loss\"]\n", "epochs = range(1, len(accuracy) + 1)\n", "plt.plot(epochs, accuracy, \"bo\", label=\"Training accuracy\")\n", "plt.plot(epochs, val_accuracy, \"b\", label=\"Validation accuracy\")\n", "plt.title(\"Training and validation accuracy\")\n", "plt.legend()\n", "plt.figure()\n", "plt.plot(epochs, loss, \"bo\", label=\"Training loss\")\n", "plt.plot(epochs, val_loss, \"b\", label=\"Validation loss\")\n", "plt.title(\"Training and validation loss\")\n", "plt.legend()\n", "plt.show()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 551 }, "id": "rf0LozJ2wlRo", "outputId": "9ddc84e3-bf6b-4546-ec3a-44b43e55d22b" }, "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "image/png": 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Dtm3bAAANGzbE0KFDMX78+EqXlhL9eHuitrKAvVn6wVjHwcx5i4sDZsywNhYNedzlM+/31u706daDsEA16Sw7Z3xNvkIRChmtFBQUMDNzRUUFz5gxg5988skwSxQ45eXlnJKSwjt37qxyW/q7iBzswgtnzLAu9zbQGBMT+MCkecAzkGMM2Y2B4IQEedkdR+Q5cDxjhvVAcqgHmOFlQDXsip1VuXvlySef5JSUFD7//PN58uTJlZEvkcLWrVv5nHPO4bvuuisk7envomYIlRKyasdO4QaqwP2NbAk0isZdfl83nlBF5QWDKnclatDfRfUT6IQe4xhfNwN/LGlfIYUxMa7WtPtnq3Nb9cc4j68bV1VuDDWBKnclatDfRfXj77wRb3He7sozkJhybwqeKLg+Bfsk4k2W6o7b9wdvyj0q4twVRQkcc9x4587AVVcBq1d7n1XZurV8zs+XwUBm2TbeDYxtI6KkcWP/o12YJbLEEfTlQrChgkZMeqB07mx9PRITAUcQW60lKqJlFEUJLPGVVdjhCy/4jv82x5S7K3Q7iov9j0M3KC8PT3izO+EKsw4FqtwVJQoINL9SKOPGq4JdZKwRGljT4c3uhCvMOhSocrdh6NCh+M9//uNStmDBAsyYMcP2mCFDhiArKwsAcNVVV+H48eMedebOnVsZb27HqlWrKmPEAeD+++/HmjVrAhFfqWMEOhu0OlJzeCMhwdoCtor9NizjjAxxfVRUyHu4FGptkSNQVLnbMGnSJLz++usuZa+//jomTZrk1/GrV69GixYtgjq3u3J/4IEHMHz48KDaChflVg5TpdrwNhvUyl3jr+86kDlnxoQc98lDcXHA009bW8DPPx+5lnGtx26ktSZftTFaJj8/n9u0acOnT59mZuY9e/Zwp06duKKigm+99VZOS0vjnj178v333195zKWXXsobN25kZsmkmJeXx8zMDz30EHfr1o0HDx7MEydOrMwNv2jRIk5PT+fk5GQeO3YsFxUV8RdffMEtW7bkpKQkTklJ4ezsbJ46dSq/9dZbzMy8Zs0a7tOnD/fq1YtvvPFGPnXqVOX57r//fk5NTeVevXrxjz/+6NGnPXv28EUXXcSpqamcmprKX3zxReW+Rx99lHv16sXJycl8zz33MDPzTz/9xMOGDePk5GROTU3l7Oxsn9kjZ82axampqbx8+XLL/jEzHzp0iK+99lpOTk7m5ORk/uKLL/i+++6rzCjJzPyXv/yFFyxY4NGHcP8uahu+wgsTEuzDAH2FHdpNOPIVUliTmSDrOoj0UMg77mC+9NLQvu64w/eFGzVqFK9atYqZmR955BH+4x//yMzO1LllZWV86aWX8pYtW5jZWrlnZWVxr169uKioiE+cOMHnnntupXK3S51rVubmbSMF8I4dO5iZecqUKZUKMTExsfL4hQsX8s033+zRn2hIDVxXlbuVwvQVXhgX531mpbty9mdWpa+YcqVm8abcNRTSC4ZrZvTo0Xj99dfx0ksvAQDefPNNLFq0CGVlZTh48CC2bduG5ORkyzbWr1+PMWPGVKbdveaaayr32aXOtWPHjh0455xz0L17dwDA1KlTsXDhQtx5550AgLFjxwIA0tLSsGLFCo/jNTVwzeMebmj4kgM5NifHNezQn/BC49L5ilJh9h3WF2wYoRJe/FLuRNQKwEsArgBwBMCfmfk1i3otADwN4EpH0fPMPLeqQpoW8qlRRo8ejT/84Q/45ptvUFxcjLS0NOzZswfz58/Hxo0b0bJlS0ybNs1nyls7pk2bhlWrViElJQVLlizBunXrqiSvkTbYLmWwOTVwRUWF3wrbTKCpgQPpn5Ea+NChQ1GRGrgq+czdj3UPOywu9h7tUlLifzRMTQ+uKjWDvwOqCwGcAdAOQAaAF4joAot6TwGIA5AEoD+AKUR0YwjkDAvx8fEYOnQobrrppsqB1JMnT6JJkyZo3rw5Dh8+jA8++MBrG5dccglWrVqFkpISFBQU4L333qvcZ5c6t2nTpigoKPBo67zzzsPevXuRnZ0NQLI7XnrppX73R1MD1yzB5DP3dqy/xMQEdmx1rHughB+fyp2ImgAYB+A+Zi5k5s8BvAtgikX1XwH4OzMXM/NeiLUf0SbYpEmTsGXLlkrlnpKSgtTUVPTo0QOTJ0/G4MGDvR7ft29fTJgwASkpKbjyyivRr1+/yn12qXMnTpyIxx9/HKmpqdi1a1dleWxsLBYvXozrr78evXv3Rr169XDrrbf63RdNDVyzBBrBAjjLg13ZJy7OemangVUkSyRMyFGCwM4Zb7wApAIodiu7G8B7FnWPAOhv2p4N4JhNu9MBZAHI6ty5s8dAQV0dOKvL+JMaOJJ+F3ZRLFYRLP5Epvh6+cq6aN6vA6LRAbwMqPrjlokHcNKt7ASAphZ1PwRwLxE1JaKuEKvdMo09My9i5nRmTm/Tpo0fYijRzLZt29C1a1cMGzYM3bp1C7c4IcFq6jqRDHJauWsWLfLuTvG2+ASRc4KNtynzkTohRwkcf5R7IYBmbmXNAHg6hYHbAZQA+AnAOwCWA8itioBK3aBnz57YvXs3nnjiiXCLEjB2Lhbz1HXANeLFCm/ulMREYOlSZ1vumP3mkTxlXgkd/kTL7ARQn4i6MfNPjrIUAFvdKzLzUciAKwCAiB4G8HWwwjEzKJi1spSohL1pxjDhKyLGeFXFj+4eqmg+H2DtN9fwRcWn5c7MRQBWAHiAiJoQ0WAAowEsda9LROcSUQIRxRDRlRC/+kPBCBYbG4v8/Pxa+YdWah5mRn5+flDhm9WJXUTMDTe4WvHBhhu6K261yhV/8XcS00wALwP4BUA+gBnMvJWILgbwATPHO+qlAVgAoAXE4s9gZg8L3x86duyI3Nxc5OXlBXO4EoXExsaiY8eO4RYDgOsEIzvMVrxdXnBvJCZaT3pSq1zxB6oNlnF6ejob2RQVpbbj7orxhaGkrdwpjRtbzyKNhMUglPBDRJuYOd1qn2aFVBS4Doq2bi0vu0UvAp1gtG+fvTvl6acjdzEIpXajuWWUOo+7JW62pK1SBgTqPzciWby5U4LNP6ModqhbRqnz+BvJ4isZV0KCZ06XuDgd8FSqD3XLKIoX/LXEzeuHuuNtQQpV7Eo4ULeMUucJJpLFjHtUiypzpTaglrsSNdjNFPWF1XR9fzFP+1eU2oQqdyUqMAZFc3Jkir8xEOqPgnePZElIcPrXfaHpchUr8vKAIUOALVvCJ4MqdyWiMaz1G26wnynqK7QRcE2odeSIvJYt827Ra8iiYsf77wOffgrMnOk9n1B1ospdiVjM1ro3jIFQw6KfMkUsdF+uGzuLXgdLFV+sWSO/kw0bgNdfD48MGgqpRCxVScZlYGRqtJvqryiBUlEBnHUWcNllwI4d4qLZsSP4cR1vaCikEpWEYu1P90Wn/R2EVaKTXbvkVRV++AH45RdgxAhZ/zk3F3j88dDIFwiq3JWIJdSDmf6ub6pEF2fOAG++CQwbBnTtKkrZndxcYP58cbF8/TVw0n35IhNr1sj78OHAJZcA110HPPaYtOHO3r3e8/hXBVXuSq3HLu9LYSHQsKFr3bg4YMaM4B+BQ/E0EA2cPg3ceSfgWIs9qvnNb4AJE4Ddu4GLLhLLvajItc4zzwB/+hMwaRIwYADQoQOwebN1ex9/DPToARgJTB99VGYuv/GGa73ycqB3b+Cuu0LfJ0CVu1LLcQ9xNA+OGu/ug5zPP28f2uhr7RcNbRTefFNm3N56q3/RHvv2AddfLxZqbcKX7OXlwKpVwOTJciP7/e+l/KefXOv9+CPQsyfw/ffAypVAs2bA+PFAgdt6dKdPA599Jla7wbnnyu9q40bXutu3i4GSlhZc33xit7hqTb7S0tJCtV6sEmXYLfbsvvCzv5gXkCbyXKQ63AtGnz7N/NhjzJs2ea/3/vvM775bfXIMGMDcoIFcl1Wr7OtVVDC/+CJz06ZSt149T9nfe4954ULm8vLqk9eK8nLm9HTmKVPkulqxaZPInZkp25s3y/brr7vWO/dc5vHjndvr1klfJ0+Wa2AuB5jfecf1+HHjmM85x7XspZek7o8/Btc/Zu8LZIddsbMqd8UCsxL29SIK/hxnneW8QYRbsR88yDx4sMjTv7+r0jDz0UfMMTHMbdowl5WFXo6sLJFh/nzm888XxXbqlGe9igpReADz0KHM337L3L69KFRDrk8/dd4kxoxhPnky9PLa8b//OX8jV17JXFTkWeeJJ2R/bq5sFxXJ9t/+5qxTUiKK/P77XY998EGp++KLzrLZs+W7OX7cte6jj0rdvDxn2W9/y9y8edVueqrclYhi2TKxov1R7IFa7u4kJTFfc03IRA+ar75i7tCBuXFj5uuvl35t2OBZb/t2UQiGpWxVxx+OHbPfd/PNcv2PHWP+8EM5z9//7lnv449l31/+4lRQy5dL2bPPMu/ezdy6NXP37swPPyxKr2dP5p9+Ck5mZuYjRzzLysqYn3rKqaAN7r1Xzvn3v4sBcPHFnkr3V79i7tbNtaxzZ7HIDb77Tvq0fLnneYcPZ27USG4GBQXyxDNwoKeM//2vtPHBB86yPn3k+Kqgyl2JKPy12KvqSjlwQNo4++yQih8QP/8sFlxMjNxoNm8WJdGihSh5M0ePiqJs00as5JgYUayBsmyZWNNbt3ruO3pUbjDTpzvLRo2Sm8mhQ86yigrmiy6SG5LZqq+oYL7iCqnfs6f0Y8cO2bdmDXNCgjwtBWLBnzzJ/M9/MvftK9/Xa6+57l+4UMpvucW1vEcP5mHD5PPrrzPXr++qtMvKRD734y6/nNmskt54Q9rfvNlTtl9+kScSgLltW2sLn1luKkTMDzwg20VF8v3Nnu3fNbBDlbsSUbj7ws2vhAR5EVXdlbJypbPdw4ft6+3YIYopGE6fFsVUUuJaXlEh1l5cnCid3/3O1SqdNUsUxd69sn3qFPNll4lSXr9eyi69lDk5OTB5ysuZzztP+nzHHZ77n3pK9n37rbNs+3Y57xVXMJeWSplhiT73nGcb2dnMsbGivD76yHXfl1/Kcffe65+8X37J3KyZHNO7N3OvXqKQDxyQ/QcOyP6YGLkpGU8k27fLMc8842zrD3+Qa33woGx/843Ucf8N3XYbc3y80y02d6783oqL7eX83//k+yBi/vpr6zo9esiTArN8h0DVx01UuSsRgS8/e1XcL1b8+c/Otj/80LrO8ePMHTsyN2woVlqgvPyyp5JhlpuF4Ye2clPs2ycK6+67RaEa1uGrrzrrPP64lBk3AH8wbmhnn83cqpXrTae8XFwUgwZ5Hvfii3Lc7beL0rv4YmnD/aZl8P77MpBqxZQpcj137fIua3m5WNAdOoj7qaJCbrSNGzNfdZXT59+okdO6XrBAjn3sMdnOyXG2t3OnlD34oGw/+aRs79/vet5nn5Vy4wYycaLnYKgVFRWuPnWrfrdvL/UMX7/5aSgYVLkrtQpDiZutb19+9uqIZLnsMhksBJgfecS6zrRpYkEDMigWKMOGybE9ergOkI4dK08gdsqRmXnCBPGvZ2RIG08/7brfsE4XLnQttxuIragQn/A554jv193FYfjL7a7znXfK/ptusr5h+UturnyfY8d6r2fcGN3leeYZKf/1r+XdcHVceKG4rcrL5QbVt69nm1dcITfr0lLm0aPl+3fno4+k3U8+ke2UFLmZVBVD7v375aYUCmNFlbtSa7BS4t7cMNUVyVJWJn7hGTPE120OczN45x05/+zZEg2SlBRYdMqBA9K3nj1dlcX+/WKVz5rl/XhztMfcuZ77KyqYu3ZlHjnSuT1zpigsq/A6I0zv+edFASYlyQ2OWdwZ7dq5Rrq4U1rKPGKEtHHWWd5vTL4wIk1Wr2ZeskQGITt2lG1m8bO3by8K2/1mVV4u3wcgLibD5//qq86bAZFrxIvBqlVS5+23mVu2lMFjd3JypM4LL8i5YmOZ77or+L4aGN/nihXym3YfUwkGVe5KrSGQwVJD8VcHW7dK+0uWiMvDPWLiyBFRdsnJ4jd/6y2pb+dqsMJ49N68WVwg110n5ffdJ/3y5ZZgFit5zhx7a/wPfxAXR0GB83yNGkmUinu8+ciRMuhn+I4NBZudzXzrrUnfk3cAACAASURBVNYx6u4cOyZhhW++6Vt2bxQXu/4WundnvuACuS6PPMJ8zz1S/tVX1sfv3cs8ZIhrtFBJifTb8NFv2eJ5XGkpc6dOcmMDmJcu9axTXi6unzvvlIgfwDXcMVhKSsTnbzz5zJ9f9TZVuSthJ5C49er0sxsYj/zbtsljPeAawXHLLTKIaERInDkj1uqVV/p/jr59xRJmFt95TAzznj1ikYbiMZ/ZObA5Y4Yo53HjxF3TubMoubfeYv6//3P2cd4857G5uXLMyJGiVO+8MzQy+cvatXKd166Vm1dRkfi3je9+ypTA2zRuCuecY39DfOgh5zn27bOuk5Ii3/W//y31Pv88cFmsSE2VJwHAOTBeFVS5K2El0Lj1qvjZs7JEEfvi1ltF+ZWXizVu/rMVFjI3aeL5yD5njijB7Gzf7f/4o7T51FOynZ0tx6alSfn77wfULVvOnHFaqqmpIjuzuBa6d3e9nr16Saijmauvln0dO9bsBCM7KiokLj0lxTNu3R9275Ybljc3ysGDcuPu0sW+zvjxst94GrKKrw+G6dOlvZgY60lVgaLKXQkrwVrsgSp2Yyq5OaLEjtRUZwx0bi67DBC+9ppsr1vnekxurvwp//Qn3+3/9a+iZIywO2axBIHAffe+uPlmeapwt0KPHpVQu2++8Zy8Y2AMrK5cGTp5ws3GjcwnTniv8/jjzP/6l/3+++6T72/KFJlXECqMqKM+fULTnip3Jax4GzANZX6Xu++WNnwNVBoTSIwJQBUV8ge+8UbZHjVK/LJW08LHjRP/uTcrt6JCrL7LL3ctN54Qgom68cbp01Ub3PQW419XWbZMvqvWrZkvuSR07Rq5a8yTxKqCN+WuWSGVascu02JiIrB0qTN7Y1WWrmOWTIYAsHOn97rffivZAAcMkG0iIDVVyo8cAf7zH0ntWs/i3/GnPwFHj0rmSTs+/1zSx7r3Y9Qo4J13JJVuKGnYEIiNDf74tm1DJ0u0cN558n7kiKTvDRUXXCDphadMCV2bdqhyV6qdefM886sbi0ubF6beu1duBI8/Lso6EL78UtLOxsb6Vu5ffSXv/fs7y1JTga1bZVHssjL7G8yAAcDIkSJjYaHnfmZgzhygTRtg3DjXfUTANdcAjRr53y8lPHTv7vx8/vmha7d+fVnw46KLQtemHarclZBiXljDWIDafaFpKwudWRZEGDoUmDULePFF+3McOABce63rwhpvvCEW7NSpkpfb2+o2X38tN5H27Z1lqalAaSnwyCNAr15AcrL98XPmSC55K+v944+BtWuBv/4ViI+3b0Op3TRrJuugAqFV7jWKnb+mJl/qc48OrKJi/PGhFxczT50q9UePlok1TZrYx4EbA56XXSZ+8fJymQo/erQMkgH2x5aXS2SIEXNusGOHU2a72apmrrhC/LEFBa5t9+0rA6ZWKXKVyGLIEPk9BJLeoaZBVX3uRNSKiFYSURER5RDRZJt6jYjoH0R0mIiOEtF7RNQhpHcjpdYye7asQ2qmuBi44QanFW8mOxu45x6x5F95BZg7F1ixAli8GIiJAW66Sdw17hhrUX7yiVjPX3wB/Pyz+DKNx2k718zq1XK8u8uka1enpT1pku++zpkj/tgXXnCWvf028M03wAMPqOslGujdG2jRAujUKdySBImd1je/ACwH8AaAeAAXATgB4AKLerMAbAHQDkAsgFcBrPDVvlrukY2/E5TMVvyCBVwZ7ztmjGfYoTHJyEgEZeaOOyRr35VXSpujRsmMwoICScQEeOZhMbjsMrHcrWLhR4zwjHDxxuWXixw33SRPE926SSx5dSygodQ8+fnM338fbim8g6qEQgJoAuAMgO6msqUAHrWo+wKAv5u2RwHY4escqtwjl2AX1hg8WKb2G5n33KmokAk2htI2M26crBCUmyvpXwGnm6WiQpJt/e53nm1u2cJeQxGLigKbWJKdLbK0bOnsXyDpCRSlqnhT7v64ZboDKGNm84PuFgAXWNR9CcBgIjqbiOIAZAD4wKpRIppORFlElJWXl+eHGEptxMoV4w1jEHT7dmDgQODss63rEUm4WEkJsGeP677cXFlZvkMH4NlnpcwYnCUS14yVW2bBAonS+c1vrM8ZF+cZ1eONc88VV0xengzSrlol4Y6KUhvwR7nHAzjpVnYCQFOLuj8B2A/ggOOY8wE8YNUoMy9i5nRmTm/Tpo3/Eiu1CnPEij907iy+6vx83/HDSUnyvneva3lurih2QPz5P/0EjB7t3N+9O7Bjh+sxv/wiPv+pU4FWrQKT2RcxMUC/fiIDUWjbVpRg8Ue5FwJo5lbWDECBRd2FABoBSIC4c1bAxnJXIhsj5JFt4tETEuxj27dvl+1glHtZGXDokFjuBl27uirV7t3lplNS4iz7xz+AM2eAO+7wfk5FiRb8Ue47AdQnom6mshQAWy3q9gGwhJmPMvNpAM8C6E9ErasuqhJuDIVuuExycqzrxcUBTz9tH9vur3Jv0wZo3NhVuR8+LDHsZuXujjG7MDtb3ktLJarmqquc+xQl2qnvqwIzFxHRCgAPENEtEAU+GsAgi+obAfyaiNYBKAYwE8DPzHwkdCIr4SAzE5g+3elft7PYExOdM08B65me27fLTFK7tAQGRHIzMSt3Iwyyg5cAW3M4ZO/ewAcfyE3h1lu9n09Rogl/Z6jOBNAYwC+QsMgZzLyViC4mIvMk7LsBnIL43vMAXAVgTAjlVWoAq1mm/gycEokiNiv0tWuB7793rbdjhyhgq9wt7iQluT4hHDgg794s927dnOcBgCVLgHbtJG2AotQVfFruAMDMRwFca1G+HjLgamznQyJklAjF3ULPyXHd9oa7Jf7cc8Dvfy/5WL780lm+fTvQt69/8iQmSiSKgWG5e1Pu8fEShbNzpwzevv++yNGggX/nVJRoQHPL1FGsrHPAfpZpTIz39ozBUkBcNvPmiUJt0QLIygIKHMPvp09LxkR/M+0lJUlkjXF8bq7M/kxI8H6cEQ65fLn43KdO9e98ihItqHKvgxjWeU6OKOKcHIn9HjvWfpC0vFwy2lnhnghszhxJnDVlCvDaa3Lshg2yLztbUgoEotwBp1xGGKSvkMPzzhPlvmSJJAXzlghMUaIRv9wySnRhZZ2XlAArV4olb5XPJTFRsi7u2ychhZ07S86Nn36SSUaGsj1zRtLhXnedKNaSErkprFsHjBjhjJTxN2rFHA7Zq5f43L25ZAy6dxeLPz9fIncUpa6hlnsdxNvEIyvFHhcnybByc4EZM5y51ydMkCgUww8OSOKsU6eAiRPlRtGkiUzwWbdO9hvK3Zwv2xvuse7mCUzeMNqvX9+/RGCKEm2ocq+D+ApBBMTHbo5PT00VKzw93VmnXz9537jRWfb55/I+eLCzbMgQ8bsXFkoES6dO/uc6b9tWwiYNF5KResAXhnK/+mqJl1eUuoYq9zqI1cpI7lRUOC30jAxRzoCrck9JEcvYXbl37eq6EMaQITKzdMMGsdwDWbbMuMHs3SuRL2fO+Kfczz0XuPFGcUEpSl1ElXsdxFgZqV07+zru1n1WFtC0qTOGHBCLOjnZqdyZJbe6+xJigwbJk8C6dYErd8A5kcmIcffHLRMTA7z8suvNSFHqEqrc6yiFhbLQc/v2MsXfjDms0WDTJolNd5941K+fKP6KCmdcudklA4gLpl8/WTuyoCDwFACGcvcnxl1RFEGVex2iokIU5G9/K1Pxhw8HfvxR1itNTJQ6jRp5rm9aWgps3gykpXm22a8fcOKEhDga/narxX+HDHGm7g3Gcj9yxDnjVJW7ovhGlXsdYPVqWeQ3NlYGMxctkgWAJ02SSUYZGWIZjx0rvmr3fDBbt8rkIysXh3lQ9fPPZXKRlWU+ZIjzczDKHRCXT7163t1JiqIIqtzrACtXitVsTvZ18qRY7+Z1Tdu1k9BGM5mZwLBh8vnuuz3XQe3ZU9w6Gzc6/e1WE4wMv7uRGiAQDOX++eeyIr3dZCpFUZyoco9CzKkFWreWxadPn5aIFTPFxa7RJO3ayaSf0lJnO9Oni28ekEWop093VfD164u75t//lglN7v52g6ZNJcdMr16BL2hhKPe8PHXJKIq/qHKPMtxTC5iVtRXmCU2Gu+OII0GzXZ4Z9/DCfv2cudOt/O0Gy5d7Wv7+0LatjAUA/kXKKIqiyj3qCHRNU3PIY9u28m64ZuxmsrqXG3732Fjv2R47dwa6dPFfNoN69ZwDvmq5K4p/qHKPMgJZ09Q95NGw3A3lbjeT1b3cUO79+zst7FBjuGZUuSuKf6hyj3D+7/8kGsbAn9QCgGcmR8BTuc+bJ8nCzFjFwJ97rkTAXHNNYLIHgqHc1S2jKP6hyj2C+eUX4Ne/BmbNcpb5Si0QFwcsW+a5YhLgqdwzMiQ80sDqhgDIAOmPPwJ//GPQXfGJWu6KEhgaVBbBzJ8v/vWtW4Hjx50x64D43vftk9BDY6EL9/VN3YmPF7/5L784y5o2lYibvLzq7Ysv+vUT2XSBa0XxD7XcI5S8PGDhQmeuF/MydsakpIoKya0OyMxUK2vdDJFnrPuuXZIILNwMHy43MJ3ApCj+oco9Qpk/X1LwLl8uk4OMlY7c+flnp9L2B3flnp0tPvXaQHUN1ipKNKLKPQIxrPaJE2UCUUqKvXI/eFBCHP2d1WlW7qdPA/v31w7LXVGUwFDlHoE88YT42vv0kYHGb74BPvkEePVVz7o//yxT9v2lbVunz33vXpkIVVssd0VR/EcHVCMMZkknkJYG/O1vzglLzJLtMSbG1a9+8GBguVzatRPlXlHhnHWqyl1RIg+13COM/fuBQ4dkoNN9JuqpU56pAQK13Nu1A8rLJZ/Mrl1Spm4ZRYk8VLlHGF99Je/HjlnvN89QLSsTKzwQy92cgmDXLgmP1DVIFSXyUOUeYXz9tcwa9Sc1gOFeCdRyB0S5Z2eL1R5oFkdFUcKPKvcI46uvgNRU4OGHrWei5uTIIGtmpvjbgcB97oDcGHbtUn+7okQqqtwjiLIysdy3bQOmTJFFMhISPOvl5Eja3+XLZTsYy/3gQWD3bvW3K0qkoso9gvj73yX2vKDAmau9pMRawRcXA4sXy+dALPeWLSXiZtMmyQOvlruiRCYaChlBPPGEZ1lxsX3+9qNHA5udCkju9LZtZck8QJW7okQqarlHEMZyd/5iRLo0aBDYce3ayQQmQN0yihKpqOUeQTRoYL1kXkKCuGfMFnxcnCQVq6gI/DyGpd+woeZPV5RIxS/LnYhaEdFKIioiohwimmxT7wMiKjS9zhDR96EVuW5SUCADqu45YuLigKefljzrRhhkfLxs16sXmL/dwIh179JF/O+KokQe/rplFgI4A6AdgAwALxDRBe6VmPlKZo43XgA2AHgrZNLWYTZtkkHUO++UvOxErotnZGRIlMy114olP3myRLwEEiljYFju6m9XlMjFp3InoiYAxgG4j5kLmflzAO8CmOLjuCQAFwOwSGelBIoxM/Wee5y52q3ys48YIUp++3ZJUxCM5W4od/W3K0rk4o/l3h1AGTPvNJVtAeBhubvxawDrmXmv1U4imk5EWUSUlRfuZX5qOZmZkiQMANLTZduOESPkfenSwGenGqjlriiRjz/KPR7ASbeyEwCa+jju1wCW2O1k5kXMnM7M6W3qQPKSggJR0KdP+1c/M1NmmhIBN9wgA6aAc4KSnYI/5xyxuI30v8FY7sYNwVjlSVGUyMMf5V4IoJlbWTMABXYHENFFANoDeDt40aKLd98F5s4F/vtf33UzM0WB5+RY7y8u9sz+aGbECODAAfkcjOU+dKhY/pdfHvixiqLUDvxR7jsB1Ccisx2XAmCrl2OmAljBzIVVES6a2Olwan3/vdMqr1fPmQfGzOzZ9hOTDMzZH90xXDNAcJZ7TIw8LWikjKJELj7j3Jm5iIhWAHiAiG4B0AfAaACDrOoTUWMA4wGMCaWgkY6h3N99F9i82am8DTcL4Bwc9aa4DeyyQgJieRsx8bqgtKLUTfwNhZwJoDGAXwAsBzCDmbcS0cVE5G6dXwvgOIC1oRMz8jGU+8aNnlZ5cbFYyoYV37q197bi4oB58+z3x8cDgwZJOw0bVklsRVEiFGLmcMuA9PR0zsrKCrcY1QYz0KwZUOiHk6pxY6l/+rS8GxDJdmKiKHb3EEh3vvpKQiUnTKiS6Iqi1GKIaBMzp1vt09wyNcDBg6LYBw/2XbekRJbLe/hh18lKS5eKcreKbbdiwABV7IpSl1HlXgMYLplx4+TdH1fJvfd6n6ykKIriDVXuNYCh3H/1KxnovOIKscbt8DZYqiiK4g+q3GuAVavEvWJMCtq/X6zxZcvEx26GSKJlrEIkFUVR/EWVezWTmQn85z/OwdHSUuC776Q8IwMYYwoYNQZNAd8zURVFUbyh0TLVTFKS9UzTjh3Fgk9Lk8lMeXnW9RITnQtnKIqimNFomWqgqEgWqva1GIZdCoHcXMnc+M03YsHbTVzyZ0KToiiKO6rcg2TOHOCCC2RhiwkTgJUrXfcbKQbsaNVK6tSrJ8fbDaLq4KqiKMGgyj1IcnJkav+oUcCnnwLXXSeZHwHfib8AICUFeO014LLLJLnXvHky89SMr5moiqIodqhyD5IjR4Du3YFXXgFeekncM5s3yz5vib8SE4EePaTu7t3O+PWMDFlVyWqVJUVRlEBR5R4k+fmynB0gg6IAYIwJ2/nJiWRwdPhw4NgxIDYWGDvWuT8jQycuKYoSGlS5B8mRI84EX+3bAx06OJW7L/95crK8/+pXknNGURQl1KhyDwJmp+VuDJweOAC8+aZs+/KfX3ihWPE33VTjoiuKUkdQ5R4EhYXAmTPifjEPnJaVAb/5jXxetAjo1Ek+t2jh6j/v3VsWrx45suZlVxSlbuBzsQ7FkyNH5P2jjzwHTktKZEB1716gZ0+gb1/gX/9yJg0zaNu2RkRVFKWOoso9CPLzXd/dyckRV41hmXfvXiNiKYqiVKJumSAwLHdvS9jl5AAvvih++Z49a0YuRVEUA1XuQWBY7Hff7TlwaqaiQvzwutC0oig1jSr3IDAs9xtvdE48suPEiZqRSVEUxYwq9yDIz5ecMC1aOCce2Sl4b4pfURSlulDlHgRHjgAtW7q6W+bN81x4o2FDzQ2jKEp40GiZIMjPd85ONTBi2KdOBcrLxbLX3DCKooQLtdyD4MgRZ14ZMxkZwLXXyudZs0TRK4qihANV7kFgZbkbDBokVrumFlAUJZyocg8CO8sdAGbOlDVSjcWwFUVRwoEq9wAxJw2zIjZWVmhSFEUJJ6rcA6S4GDh1yt4toyiKUhtQ5R4gxuxUO8tdURSlNqDKPUCM2alquSuKUptR5R4garkrihIJqHIPELXcFUWJBPxS7kTUiohWElEREeUQ0WQvdfsS0WdEVEhEh4nojtCJG34My/2KKySePSlJltZTFEWpTfibfmAhgDMA2gHoA+DfRLSFmbeaKxFRawAfAvgDgLcBNATQMXTihp9PPpH33Fx5z8mRpfYATTWgKErtwaflTkRNAIwDcB8zFzLz5wDeBTDFovpdAP7DzJnMfJqZC5j5x9CKHB6MhbBXrvTcV1wsS+spiqLUFvxxy3QHUMbMO01lWwBYTdW5EMBRItpARL8Q0XtE1NmqUSKaTkRZRJSVl5cXuOQ1SGam60LYVuzbV3PyKIqi+MIf5R4P4KRb2QkATS3qdgQwFcAdADoD2ANguVWjzLyImdOZOb1Nmzb+SxwGZs/2XAjbnc6WtzBFUZTw4I/PvRBAM7eyZgAKLOqWAFjJzBsBgIj+BuAIETVn5ohdk8iXVR4Xp3nbFUWpXfhjue8EUJ+IzKmwUgBstaj7HQA2bbNFnYjDm1WemKh52xVFqX34VO7MXARgBYAHiKgJEQ0GMBrAUovqiwGMIaI+RNQAwH0APo9kqx0Qq9x9Iey4OGDZMlliTxW7oii1DX8nMc0E0BjALxAf+gxm3kpEFxNRoVGJmT8B8BcA/3bU7QrANiY+UsjIEOu8UyfZbtFCrXVFUWo3xBx+z0l6ejpnZWWFWwyf5OaKgv/nP52x7YqiKOGCiDYxc7rVPk0/EACaV0ZRlEhBlXsAaF4ZRVEiBVXuXjBmpRo5ZFatknK13BVFqe34m1umzmHMSjUmL+XkiK8dUMtdUZTaT5223N94A8jOtt5nNSu1tFTeW7WqXrkURVGqSp1V7mVlEso4d671fm+zUhs2rBaRFEVRQkadVe6HDwPl5cDatYBVNKjdrNT66shSFCUCqLPK3cjH/vPPwE5TvktjEDUnByByPYYI6NWrxkRUFEUJmjqr3A8ccH42FuBwT+3L7FTwHTvK9qRJNSunoihKMNR55d68uVO5Ww2iMktysAULZPuSS2pORkVRlGCp08q9QQNg9Gjxu1dU2A+i7tsHfPYZ0Lgx0LdvzcqpKIoSDHVWuefmAmefDQwbJmkFvv/efhC1c2dg/Xpg4ECNlFEUJTKos8r9wAHxow8dKtuffGKf2nf2bGDzZnXJKIoSOdRp5d6hg2R57NZNlLuR2jcxUQZSjYU4OnQQ3/vFF4dbakVRFP+ok8qdWdwyHTrI9mWXAZ9+6pzYtHev+OCNhTjWr5f49gsvDKfUiqIo/hOVyv3ECeDaa4E1a1zLzYnASkpkIhMgyr2gANi0ybq9zz4D+vXzdNkoiqLUVqJSua9fD7zzDjBqFLBypZS5x7ADwNtvS/mQIbL93/96tlVSAmzcqC4ZRVEii6hU7lsdS3cnJwPXXQe88op1DPuZM1L+8ccSFjl7tlj2mZnOOl99JQnDdDBVUZRIIiozpfzwg/jT164FxowBpk2zr5uTIxa9kfHR2AbE3/7ZZzK4OnhwtYutKIoSMqLWcu/VC4iPB957D2jUCGjWzLpuTIynRV9cLFY8IK6a5GRZFFtRFCVSiDrlXl4O/PgjcMEFsh0bC/TpI5a8VQx7ebl1O/v2SUTN+vVi/SuKokQSUafcd+8GTp1yzd6YliaK+h//kNh1QGaaGjHtVnTuDCxfLmGTGRnVL7eiKEooiTrlbgymGpY7AKSnS6hj//4Su56SAlxxhShtq1mpsbFSnpkpx3TtWmPiK4qihISoU+4//CDvPXvKe2am038+eLBsG7NTAddZqQaTJ4srZ8sWtdoVRYlMoi5aZutWCWeMj/dc5Do/H/jNbyR2PT9f6u3bJy6YefNEqXfuDBw/LsfGxAATJoSzN4qiKMERdcr9hx+c/nar2PaSEnl/912Jcwdcwx9HjJDJTZs2AcOHA+3a1YzciqIooSSq3DKlpcCOHfLZWCrPDkOxGxjhjyNGSPqCnBx1ySiKErlEleWenS0K/qOPPJW3P+zbJ/nd69WT2Phrrw29jIqiKDVBxCv30lJJHQA4B1O9KXYiCW+0onNnoFUrWZ2pQwegadPQyqooilJTRLRb5sMPJRe74X4xwiDtMBR7o0ayZJ6ZuDgZVAWAFSuAZ58NvbyKoig1RcQq98xM4OabRbF37y7JwX74QfKuW5GYCAwa5Pz84ouei3Koj11RlGjBL+VORK2IaCURFRFRDhFNtqk3l4hKiajQ9OoSWpGdIY4//yzbZ84At9wC/O9/Ep9ulWZg3jyZzATI8npWi3IoiqJEC/5a7gsBnAHQDkAGgBeI6AKbum8wc7zptTsUgpqxCnEsKxNlP3Kk9VJ5GRlO5W5MYFIURYlWfA6oElETAOMA9GLmQgCfE9G7AKYAuLea5bNk3z77fb16ycQjK0s8LU3eVbkrihLt+GO5dwdQxsw7TWVbANhZ7r8ioqNEtJWIZtg1SkTTiSiLiLLy8vICEFmiWqxo3FiWzLPjvPPEfaNZHhVFiXb8Ue7xAE66lZ0AYBUo+CaA8wG0AfAbAPcT0SSrRpl5ETOnM3N6mzZtAhDZOtlXXJwMknprql49qdO/f0CnUxRFiTj8Ue6FANyXumgGoMC9IjNvY+afmbmcmTcAeBrAdVUX0xVzsi+NdlEURfHEn0lMOwHUJ6JuzPyToywFgI+ocgAAA6BghfNGRoYqc0VRFDt8Wu7MXARgBYAHiKgJEQ0GMBrAUve6RDSaiFqS0B/A7QDeCbXQiqIoinf8DYWcCaAxgF8ALAcwg5m3EtHFRFRoqjcRQDbEZfMqgMeY+ZVQCqwoiqL4xq/cMsx8FIBHGi1mXg8ZcDW2LQdPFUVRlJolYtMPmMnMlBS/9erJe2ZmuCVSFEUJLxGfFdJ9tSXzwhs64KooSl0l4i13q1QExsIbiqIodZWIV+52qQi8pShQFEWJdiJeudulIrArVxRFqQtEvHK3S0VgLLyhKIpSF4l45a6pCBRFUTyJ+GgZQFMRKIqiuBPxlruiKIriiSp3RVGUKESVu6IoShSiyl1RFCUKUeWuKIoShRAzh1sGEFEegJwADmkN4Eg1iVObqYv9rot9Bupmv+tin4Gq9TuRmS0XF60Vyj1QiCiLmdPDLUdNUxf7XRf7DNTNftfFPgPV1291yyiKokQhqtwVRVGikEhV7ovCLUCYqIv9rot9Bupmv+tin4Fq6ndE+twVRVEU70Sq5a4oiqJ4QZW7oihKFKLKXVEUJQqJKOVORK2IaCURFRFRDhFNDrdMoYaIGhHRS47+FRDRZiK60rR/GBFtJ6JiIlpLRInhlDfUEFE3IjpFRMtMZZMd16OIiFYRUatwyhhqiGgiEf3o6N8uIrrYUR613zURJRHRaiI6RkSHiOg5Iqrv2NeHiDY5+r2JiPqEW95gIKLbiCiLiE4T0RK3fbbfrUMHvExEJx3X5q5gzh9Ryh3AQgBnALQDkAHgBSK6ILwihZz6APYDuBRAcwB/BfCm48/QGsAKAPcBaAUgC8Ab4RK0mlgIYKOx4fh+/wlgCuR7LwbwfHhECz1EdDmAxwDcCKApgEsA7K4D3/XzAH4BcBaAPpDf+0wiagjgHQDLALQE8AqAoMEwKwAAA5dJREFUdxzlkcbPAB4C8LK50I/vdi6AbgASAQwFMIuIRgZ8dmaOiBeAJhDF3t1UthTAo+GWrQb6/h2AcQCmA9jgdk1KAPQIt4wh6udEAG86ftzLHGUPA3jNVOdcx++gabjlDVGfNwC42aI82r/rHwFcZdp+HHITvwLAATgi+Rz79gEYGW6Zq9DXhwAs8fe7hdwUrjDtfxDA64GeN5Is9+4Ayph5p6lsC4Bos9xdIKJ2kL5vhfR1i7GPmYsA7EIUXAMiagbgAQDuj6Dufd4Fx02+5qSrHogoBkA6gDZElE1EuQ73RGNE8XftYAGAiUQUR0QdAFwJ4ENI/75jh1Zz8B2ip9+Al++WiFpCnma2mOoHpeciSbnHAzjpVnYC8igblRBRAwCZAF5h5u2Qa3DCrVq0XIMHAbzEzLlu5dHc53YAGgC4DsDFEPdEKsQVF839BoDPIArrJIBciGtiFaK/34D3Psabtt33BUQkKfdCAM3cypoBKAiDLNUOEdWDuJ3OALjNURyV18AxYDYcwFMWu6Oyzw5KHO/PMvNBZj4C4EkAVyGK++34bX8I8Ts3gWRFbAkZe4jafpvw1sdC07b7voCIJOW+E0B9IupmKkuBuCuiCiIiAC9BLLtxzFzq2LUV0mejXhOIDzrSr8EQAEkA9hHRIQB3AxhHRN/As89dADSC/B4iGmY+BrFazS4I43O0fteADCJ2BvAcM59m5nwAiyE3ta0Akh3/AYNkREe/DWy/W8dv4qB5P4LVc+EebAhwYOJ1AMshd/vBkMeVC8ItVzX08x8AvgQQ71bextHncQBiIZbOl+GWNwT9jQPQ3vSaD+BtR3+NR/eLHd/7MgQxuFRbX5Bxho0A2kKs1/UQF1VUftemfu8GcC8kOqwFgJUAXgPQELK2wx2Qm/htju2G4ZY5iD7Wd3x3j0CewmMdZV6/WwCPAvjU8XvoAVH2AQ8oh/0CBHixWkH8ckWQEfTJ4ZapGvqYCLHeTkEe0YxXhmP/cADbIY/06wAkhVvmargGc+GIlnFsT3Z830WQMLlW4ZYxhH1tAAkLPA7gEIBnAMRG+3cNGV9YB+AYZKGKNwG0c+xLBbDJ0e9vAKSGW94g+zjX8V82v+b6+m4dN7WXIUbNYQB3BXN+TRymKIoShUSSz11RFEXxE1XuiqIoUYgqd0VRlChElbuiKEoUospdURQlClHlriiKEoWoclcURYlCVLkriqJEIf8PaXgIHb/O1YAAAAAASUVORK5CYII=\n", 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" ] }, "metadata": { "needs_background": "light" } } ] }, { "cell_type": "markdown", "source": [ "Let’s check the test accuracy." ], "metadata": { "id": "IzyBYFqKwmwG" } }, { "cell_type": "code", "source": [ "test_model = keras.models.load_model(\n", " \"convnet_from_scratch_with_augmentation.keras\")\n", "test_loss, test_acc = test_model.evaluate(test_dataset)\n", "print(f\"Test accuracy: {test_acc:.3f}\")" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "ERhnCWOKoD0v", "outputId": "54c351a2-87ee-4ac2-e100-2cbba898394e" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "63/63 [==============================] - 4s 51ms/step - loss: 0.4555 - accuracy: 0.8310\n", "Test accuracy: 0.831\n" ] } ] }, { "cell_type": "markdown", "source": [ "We get a test accuracy of 83.1%. It’s starting to look good! \n", "By further tuning the model’s configuration (such as the number of filters per convolution layer, or the number of layers in the model), we might be able to get an\n", "even better accuracy, likely up to 90%. But it would prove difficult to go any higher just by training our own convnet from scratch, because we have so little data to work\n", "with. As a next step to improve our accuracy on this problem, we’ll have to use a pretrained model as we will see in Lecture 5." ], "metadata": { "id": "iCoc8y_GtY3I" } }, { "cell_type": "markdown", "metadata": { "id": "Llg8KV0z1FI2" }, "source": [ "# Implementing ResNet-34 using Keras" ] }, { "cell_type": "markdown", "source": [ "Most CNN architectures described so far are fairly straightforward to implement\n", "(although generally you would load a pretrained network instead, as we will see in Lecture 5). To illustrate the process, let’s implement a ResNet-34 from scratch using Keras. First, let’s create a `ResidualUnit` layer:" ], "metadata": { "id": "CRzmcbqlJKn9" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "6qhnbHYF1FI2" }, "outputs": [], "source": [ "DefaultConv2D = partial(keras.layers.Conv2D, kernel_size=3, strides=1,\n", " padding=\"SAME\", use_bias=False)\n", "\n", "class ResidualUnit(keras.layers.Layer):\n", " def __init__(self, filters, strides=1, activation=\"relu\", **kwargs):\n", " super().__init__(**kwargs)\n", " self.activation = keras.activations.get(activation)\n", " self.main_layers = [\n", " DefaultConv2D(filters, strides=strides),\n", " keras.layers.BatchNormalization(),\n", " self.activation,\n", " DefaultConv2D(filters),\n", " keras.layers.BatchNormalization()]\n", " self.skip_layers = []\n", " if strides > 1:\n", " self.skip_layers = [\n", " DefaultConv2D(filters, kernel_size=1, strides=strides),\n", " keras.layers.BatchNormalization()]\n", "\n", " def call(self, inputs):\n", " Z = inputs\n", " for layer in self.main_layers:\n", " Z = layer(Z)\n", " skip_Z = inputs\n", " for layer in self.skip_layers:\n", " skip_Z = layer(skip_Z)\n", " return self.activation(Z + skip_Z)" ] }, { "cell_type": "markdown", "source": [ "As you can see, this code matches the resnet architecture pretty closely. In the constructor, we create all the layers we will need: the main layers are the ones on the right side of the diagram, and the skip layers are the ones on the left (only needed if the stride is greater than 1). Then in the `call()` method, we simply make the inputs go through the main layers, and the skip layers (if any), then we add both outputs and we apply the activation function.\n", "\n", "

\n", "\"drawing\"\n", "

" ], "metadata": { "id": "Q39xNZLDJZzv" } }, { "cell_type": "markdown", "source": [ "Next, we can build the ResNet-34 simply using a Sequential model, since it is really just a long sequence of layers (we can treat each residual unit as a single layer now that we have the ResidualUnit class):\n", "\n", "

\n", "\"drawing\"\n", "

\n" ], "metadata": { "id": "tD-hmOPHLiKI" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "f3Ob9EvC1FI3" }, "outputs": [], "source": [ "model = keras.models.Sequential()\n", "model.add(DefaultConv2D(64, kernel_size=7, strides=2,\n", " input_shape=[224, 224, 3])) # the size of images in imagenet\n", "model.add(keras.layers.BatchNormalization())\n", "model.add(keras.layers.Activation(\"relu\"))\n", "model.add(keras.layers.MaxPool2D(pool_size=3, strides=2, padding=\"SAME\"))\n", "prev_filters = 64\n", "for filters in [64] * 3 + [128] * 4 + [256] * 6 + [512] * 3:\n", " strides = 1 if filters == prev_filters else 2\n", " model.add(ResidualUnit(filters, strides=strides))\n", " prev_filters = filters\n", "model.add(keras.layers.GlobalAvgPool2D())\n", "model.add(keras.layers.Flatten())\n", "model.add(keras.layers.Dense(10, activation=\"softmax\"))" ] }, { "cell_type": "markdown", "source": [ "The only slightly tricky part in this code is the loop that adds the `ResidualUnit` layers to the model: as in the original architecture, the first 3 RUs have 64 filters, then the next 4 RUs have 128 filters, and so on. We then set the strides to 1 when the number of filters is the same as in the previous RU, or else we set it to 2. Then we add the `ResidualUnit`, and finally we update `prev_filters`." ], "metadata": { "id": "8aSGDQOtLy4A" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "DqteGSC81FI3", "outputId": "69a5440d-5f89-49fa-db4d-ff33eae0abd5" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Model: \"sequential_2\"\n", "_________________________________________________________________\n", " Layer (type) Output Shape Param # \n", "=================================================================\n", " conv2d_15 (Conv2D) (None, 112, 112, 64) 9408 \n", " \n", " batch_normalization (BatchN (None, 112, 112, 64) 256 \n", " ormalization) \n", " \n", " activation (Activation) (None, 112, 112, 64) 0 \n", " \n", " max_pooling2d_7 (MaxPooling (None, 56, 56, 64) 0 \n", " 2D) \n", " \n", " residual_unit (ResidualUnit (None, 56, 56, 64) 74240 \n", " ) \n", " \n", " residual_unit_1 (ResidualUn (None, 56, 56, 64) 74240 \n", " it) \n", " \n", " residual_unit_2 (ResidualUn (None, 56, 56, 64) 74240 \n", " it) \n", " \n", " residual_unit_3 (ResidualUn (None, 28, 28, 128) 230912 \n", " it) \n", " \n", " residual_unit_4 (ResidualUn (None, 28, 28, 128) 295936 \n", " it) \n", " \n", " residual_unit_5 (ResidualUn (None, 28, 28, 128) 295936 \n", " it) \n", " \n", " residual_unit_6 (ResidualUn (None, 28, 28, 128) 295936 \n", " it) \n", " \n", " residual_unit_7 (ResidualUn (None, 14, 14, 256) 920576 \n", " it) \n", " \n", " residual_unit_8 (ResidualUn (None, 14, 14, 256) 1181696 \n", " it) \n", " \n", " residual_unit_9 (ResidualUn (None, 14, 14, 256) 1181696 \n", " it) \n", " \n", " residual_unit_10 (ResidualU (None, 14, 14, 256) 1181696 \n", " nit) \n", " \n", " residual_unit_11 (ResidualU (None, 14, 14, 256) 1181696 \n", " nit) \n", " \n", " residual_unit_12 (ResidualU (None, 14, 14, 256) 1181696 \n", " nit) \n", " \n", " residual_unit_13 (ResidualU (None, 7, 7, 512) 3676160 \n", " nit) \n", " \n", " residual_unit_14 (ResidualU (None, 7, 7, 512) 4722688 \n", " nit) \n", " \n", " residual_unit_15 (ResidualU (None, 7, 7, 512) 4722688 \n", " nit) \n", " \n", " global_average_pooling2d_1 (None, 512) 0 \n", " (GlobalAveragePooling2D) \n", " \n", " flatten_2 (Flatten) (None, 512) 0 \n", " \n", " dense_6 (Dense) (None, 10) 5130 \n", " \n", "=================================================================\n", "Total params: 21,306,826\n", "Trainable params: 21,289,802\n", "Non-trainable params: 17,024\n", "_________________________________________________________________\n" ] } ], "source": [ "model.summary()" ] }, { "cell_type": "markdown", "source": [ "It is quite amazing that in less than 40 lines of code, we can build the model that won the ILSVRC 2015 challenge! It demonstrates both the elegance of the ResNet model, and the expressiveness of the Keras API" ], "metadata": { "id": "QQeEQLtzMTlk" } } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.10" }, "nav_menu": {}, "toc": { "navigate_menu": true, "number_sections": true, "sideBar": true, "threshold": 6, "toc_cell": false, "toc_section_display": "block", "toc_window_display": false }, "colab": { "name": "03_Convolutional Neural Networks.ipynb", "provenance": [], "collapsed_sections": [], "toc_visible": true }, "accelerator": "GPU" }, "nbformat": 4, "nbformat_minor": 0 }