Exercise:Vectorization

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  beta = 3
  beta = 3
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After 500 iterations of updates using minFunc, your autoencoder should have learned features that resemble pen strokes. Our implementation takes around 20-25 minutes on a fast machine. Visualized, the features should look like in the following image:
+
After 200 iterations of updates using minFunc, your autoencoder should have learned features that resemble pen strokes. Our implementation takes around 25-30 minutes on a fast machine. Visualized, the features should look like in the following image:
[[File:MNIST-false-0.1-3e-3-3-linear.png]]
[[File:MNIST-false-0.1-3e-3-3-linear.png]]

Revision as of 06:44, 28 April 2011

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