Exercise:Vectorization

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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:
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:mnistVectorizationEx.png]]
If your parameters are improperly tuned, or if your implementation of the autoencoder is buggy, you may get one of the following images instead:
If your parameters are improperly tuned, or if your implementation of the autoencoder is buggy, you may get one of the following images instead:

Revision as of 02:14, 29 April 2011

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