Exercise:Learning color features with Sparse Autoencoders
From Ufldl
(→Dependencies) |
(→Step 2: Learn features on small patches) |
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If your parameters are improperly tuned (the default parameters should work), or if your implementation of the autoencoder is buggy, you might get one of the following images instead: | If your parameters are improperly tuned (the default parameters should work), or if your implementation of the autoencoder is buggy, you might get one of the following images instead: | ||
| - | <table> | + | <table cellpadding=5px> |
<tr><td>[[File:cnn_Features_Bad1.png|240px]]</td><td>[[File:cnn_Features_Bad2.png|240px]]</td></tr> | <tr><td>[[File:cnn_Features_Bad1.png|240px]]</td><td>[[File:cnn_Features_Bad2.png|240px]]</td></tr> | ||
</table> | </table> | ||
The learned features will be saved to <tt>STL10Features.mat</tt>, which will be used in the later [[Exercise:Convolution and Pooling | exercise on convolution and pooling]]. | The learned features will be saved to <tt>STL10Features.mat</tt>, which will be used in the later [[Exercise:Convolution and Pooling | exercise on convolution and pooling]]. | ||
