Exercise:Vectorization
From Ufldl
(→Natural images) |
(→MNIST) |
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normalizeData: linear scaling (patches = patches / 255) | normalizeData: linear scaling (patches = patches / 255) | ||
- | The autoencoder should learn pen strokes as features. These features should start to become obvious after 400 iterations of minFunc, which takes around 20 - 25 minutes on the Corn cluster. Visualised, the features look | + | The autoencoder should learn pen strokes as features. These features should start to become obvious after 400 iterations of minFunc, which takes around 20 - 25 minutes on the Corn cluster. Visualised, 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]] |