Exercise:Convolution and Pooling
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== Convolution and Pooling == | == Convolution and Pooling == | ||
| - | In this problem set, you will use the features you learned on 8x8 patches sampled from images from the STL10 dataset in [[ | + | In this problem set, you will use the features you learned on 8x8 patches sampled from images from the STL10 dataset in [[Exercise:Learning color features with Sparse Autoencoders | the earlier exercise on linear decoders]] for classifying 64x64 STL10 images by applying [[Feature extraction using convolution | convolution]] and [[Pooling | pooling]]. |
In the file <tt>[http://ufldl.stanford.edu/wiki/resources/cnn_exercise.zip cnn_exercise.zip]</tt> we have provided some starter code. You should write your code at the places indicated "YOUR CODE HERE" in the files. | In the file <tt>[http://ufldl.stanford.edu/wiki/resources/cnn_exercise.zip cnn_exercise.zip]</tt> we have provided some starter code. You should write your code at the places indicated "YOUR CODE HERE" in the files. | ||
