Exercise:Convolution and Pooling
From Ufldl
(→Convolution and Pooling) |
(→Dependencies) |
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The following additional files are required for this exercise: | The following additional files are required for this exercise: | ||
| - | * STL10 | + | * [http://ufldl.stanford.edu/wiki/resources/stlSubset.zip A subset of the STL10 Dataset (stlSubset.zip)] |
| + | * [http://ufldl.stanford.edu/wiki/resources/cnn_exercise.zip Starter Code (cnn_exercise.zip)] | ||
You will also need: | You will also need: | ||
| - | * <tt> | + | * <tt>sparseAutoencoderLinear.m</tt> or your saved features from [[Exercise:Learning color features with Sparse Autoencoders]] |
* <tt>feedForwardAutoencoder.m</tt> (and related functions) from [[Exercise:Self-Taught Learning]] | * <tt>feedForwardAutoencoder.m</tt> (and related functions) from [[Exercise:Self-Taught Learning]] | ||
* <tt>softmaxTrain.m</tt> (and related functions) from [[Exercise:Softmax Regression]] | * <tt>softmaxTrain.m</tt> (and related functions) from [[Exercise:Softmax Regression]] | ||
