The project codes up a three hidden layer deep auto encoder, trained in a greedy layerwise fashion for initializing a corresponding deep neural network. Also, it consider training criteria such as dropout and sparsity for improving feature learning.
☆11Mar 19, 2017Updated 9 years ago
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