Exercise:Vectorization

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(Natural images)
(MNIST)
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  normalizeData: linear scaling (patches = patches / 255)
  normalizeData: linear scaling (patches = patches / 255)
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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 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]]

Revision as of 05:39, 7 April 2011

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