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Fix parameters description (aymericdamien#185)
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notebooks/3_NeuralNetworks/convolutional_network.ipynb

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@@ -103,7 +103,7 @@
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" # Max Pooling (down-sampling) with strides of 2 and kernel size of 2\n",
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" conv1 = tf.layers.max_pooling2d(conv1, 2, 2)\n",
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"\n",
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" # Convolution Layer with 32 filters and a kernel size of 5\n",
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" # Convolution Layer with 64 filters and a kernel size of 3\n",
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" conv2 = tf.layers.conv2d(conv1, 64, 3, activation=tf.nn.relu)\n",
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" # Max Pooling (down-sampling) with strides of 2 and kernel size of 2\n",
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" conv2 = tf.layers.max_pooling2d(conv2, 2, 2)\n",

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