Exercise:Vectorization
From Ufldl
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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:mnistVectorizationEx.png| | + | [[File:mnistVectorizationEx.png|400px]] |
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: |