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unsupervised_class3/parameterize_guassian.py

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@@ -17,7 +17,7 @@ def softplus(x):
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# we're going to make a neural network
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# with the layer sizes (4, 3, 2)
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# like a toy version of a decoder
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# like a toy version of a encoder
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W1 = np.random.randn(4, 3)
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W2 = np.random.randn(3, 2*2)

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