Exercise:Vectorization
From Ufldl
| Line 27: | Line 27: | ||
lambda = 3e-3 | lambda = 3e-3 | ||
beta = 3 | beta = 3 | ||
| + | patches = first 10000 images from the MNIST dataset | ||
After 200 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 200 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: | ||
