https://github.com/parasdahal/deepnet

Educational deep learning library in plain Numpy with no autograd!
https://github.com/parasdahal/deepnet

adagrad adam-optimizer batch-normalization cnn dropout nesterov-accelerated-sgd

Last synced: 2 months ago
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Educational deep learning library in plain Numpy with no autograd!

• Host: GitHub
• URL: https://github.com/parasdahal/deepnet
• Owner: parasdahal
• License: mit
• Created: 2017-06-03T10:25:02.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2022-06-21T21:13:01.000Z (about 2 years ago)
• Last Synced: 2023-11-07T15:20:48.521Z (8 months ago)
• Topics: adagrad, adam-optimizer, batch-normalization, cnn, dropout, nesterov-accelerated-sgd
• Language: Python
• Homepage: https://deepnotes.io/implementing-cnn
• Size: 40 KB
• Stars: 318
• Watchers: 18
• Forks: 83
• Open Issues: 6
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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• my-awesome-stars - parasdahal/deepnet - Implementation of CNNs, RNNs, and many deep learning techniques in plain Numpy. (Python)