Exercise:Learning color features with Sparse Autoencoders
From Ufldl
(→Learning color features with Sparse Autoencoders) |
(→Learning color features with Sparse Autoencoders) |
||
| Line 3: | Line 3: | ||
In this exercise, you will implement a [[Linear Decoders | linear decoder]] (with the sparse autoencoder) to learn features on color images from the STL10 dataset. These features will be used in an later [[Exercise:Convolution and Pooling | exercise on convolution and pooling]] for classifying STL10 images. | In this exercise, you will implement a [[Linear Decoders | linear decoder]] (with the sparse autoencoder) to learn features on color images from the STL10 dataset. These features will be used in an later [[Exercise:Convolution and Pooling | exercise on convolution and pooling]] for classifying STL10 images. | ||
| - | For this exercise, you will need to copy and modify '''<tt>sparseAutoencoderCost.m</tt>''' from | + | In the file <tt>[http://ufldl.stanford.edu/wiki/resources/linear_decoder_exercise.zip linear_decoder_exercise.zip]</tt> we have provided some starter code. You should write your code at the places indicated "YOUR CODE HERE" in the files. |
| + | |||
| + | For this exercise, you will need to copy and modify '''<tt>sparseAutoencoderCost.m</tt>''' from the [[Exercise:Sparse Autoencoder | sparse autoencoder exercise]]. | ||
=== Dependencies === | === Dependencies === | ||
