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 | + | 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]] |