Exercise:Convolution and Pooling
From Ufldl
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This problem set is divided into two parts. In the first part, you will implement a [[Linear Decoders | linear decoder]] to learn features on color images from the STL10 dataset. In the second part, you will use these learned features in convolution and pooling for classifying STL10 images. | This problem set is divided into two parts. In the first part, you will implement a [[Linear Decoders | linear decoder]] to learn features on color images from the STL10 dataset. In the second part, you will use these learned features in convolution and pooling for classifying STL10 images. | ||
| - | In the file <tt> | + | 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. |
For this exercise, you will need to modify '''<tt>sparseAutoencoderCost.m</tt>''' from your earlier exercise, as well as '''<tt>cnnConvolve.m</tt>''' and '''<tt>cnnPool.m</tt>''' from this exercise. | For this exercise, you will need to modify '''<tt>sparseAutoencoderCost.m</tt>''' from your earlier exercise, as well as '''<tt>cnnConvolve.m</tt>''' and '''<tt>cnnPool.m</tt>''' from this exercise. | ||
