Exercise:Vectorization

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  patches = first 10000 images from the MNIST dataset
  patches = first 10000 images from the MNIST dataset
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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:
+
After 400 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 01:57, 29 April 2011

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