Exercise:Vectorization

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(MNIST)
Line 9: Line 9:
Use the following parameters for the MNIST dataset:
Use the following parameters for the MNIST dataset:
 +
patchSize: 28x28 patches
  sparsityParam = 0.1
  sparsityParam = 0.1
  lambda = 3e-3
  lambda = 3e-3
  beta = 3
  beta = 3
-
  normalizeData = linear
+
  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 as follows:
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 as follows:

Revision as of 05:38, 7 April 2011

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