Visualizing a Trained Autoencoder
From Ufldl
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When we do this for a sparse autoencoder (trained with 100 hidden units on | When we do this for a sparse autoencoder (trained with 100 hidden units on | ||
- | 10x10 pixel inputs we get the following result: | + | 10x10 pixel inputs<sup>1</sup> we get the following result: |
[[Image:ExampleSparseAutoencoderWeights.png|thumb|400px|center]] | [[Image:ExampleSparseAutoencoderWeights.png|thumb|400px|center]] | ||
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domains too. | domains too. | ||
- | ''The learned features were obtained by training on '''whitened''' natural images. Whitening is a preprocessing step which removes redundancy in the input, by causing adjacent pixels to become less correlated.'' | + | ---- |
+ | |||
+ | <sup>1</sup> ''The learned features were obtained by training on '''whitened''' natural images. Whitening is a preprocessing step which removes redundancy in the input, by causing adjacent pixels to become less correlated.'' |