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1 parent 0bacc59 commit 72707e2Copy full SHA for 72707e2
examples/3_NeuralNetworks/convolutional_network.py
@@ -46,7 +46,7 @@ def conv_net(x_dict, n_classes, dropout, reuse, is_training):
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# Max Pooling (down-sampling) with strides of 2 and kernel size of 2
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conv1 = tf.layers.max_pooling2d(conv1, 2, 2)
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- # Convolution Layer with 32 filters and a kernel size of 5
+ # Convolution Layer with 64 filters and a kernel size of 3
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conv2 = tf.layers.conv2d(conv1, 64, 3, activation=tf.nn.relu)
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conv2 = tf.layers.max_pooling2d(conv2, 2, 2)
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