Exercise:Vectorization
From Ufldl
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patches = first 10000 images from the MNIST dataset | patches = first 10000 images from the MNIST dataset | ||
| - | After 400 iterations of updates using minFunc, your autoencoder should have learned features that resemble pen strokes. Our implementation takes around | + | After 400 iterations of updates using minFunc, your autoencoder should have learned features that resemble pen strokes. Our implementation takes around 15-20 minutes on a fast machine. Visualized, the features should look like in the following image: |
[[File:mnistVectorizationEx.png|400px]] | [[File:mnistVectorizationEx.png|400px]] | ||
