This is my solution to the Unsupervised Feature Learning and Deep Learning (UFLDL) exercises.
To minimize the size of the code, I remove all the datasets from the package. Before running the code, you should download the following datasets and unpack to the corresponding directories.
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Dowload MNIST dataset by running the following command
./MNIST/get_mnist.sh
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Download A subset of the STL10 Dataset (stlSubset.zip) unpack to './cnn_exercise'
./cnn_exercise/get_stl.sh
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Sampled 8x8 patches from the STL-10 dataset (stl10_patches_100k.zip) unpack to './linear_decoder_exercise'
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All .mat file should be downloaded from the tutorial site