- Category:
- Other systems
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- File Size:
- 11kb
- Update:
- 2017-12-15
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- Uploaded by:
- 戚河平
Description: 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
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| Filename | Size | Date |
|---|
| encode-xunlian(1)r.docx | 14849 | 2017-12-15 |
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