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adding hints on how to use conv.py
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src/conv.py

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@@ -106,6 +106,9 @@ def dbl_conv_relu():
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SoftmaxLayer(n_in=100, n_out=10)], mini_batch_size)
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net.SGD(training_data, 60, mini_batch_size, 0.03, validation_data, test_data, lmbda=lmbda)
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#### Some subsequent functions may make use of the expanded MNIST
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#### data. That can be generated by running expand_mnist.py.
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def expanded_data():
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expanded_training_data, _, _ = network3.load_data_shared(
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"../data/mnist_expanded.pkl.gz")

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