A total of 10000 small patches pictures with size 8*8 are extracted from a lot of natural pictures. Now we need to use sparse autoencoder to train a hidden layer network to learn the characteristics. The network has 3 layers, the input layer is 64 nodes, the hidden layer is 25 nodes, and the output layer is, of course, 64 nodes. Here's only part of the training code, followed by

Filename	Size	Update
encode-xunlian(1)r.docx	14849	2017-12-15

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