https://github.com/hwalsuklee/numpy-neuralnet-exercise
Implementation of key concepts of neuralnetwork via numpy
https://github.com/hwalsuklee/numpy-neuralnet-exercise
cnn cross-entropy-loss deeplearning dropout mnist neural-network numpy numpy-neuralnet-exercise regularization relu sgd xavier-initializer
Last synced: 6 months ago
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Implementation of key concepts of neuralnetwork via numpy
- Host: GitHub
- URL: https://github.com/hwalsuklee/numpy-neuralnet-exercise
- Owner: hwalsuklee
- Created: 2017-11-19T11:49:20.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2018-02-06T04:25:45.000Z (over 7 years ago)
- Last Synced: 2025-03-27T01:23:03.103Z (7 months ago)
- Topics: cnn, cross-entropy-loss, deeplearning, dropout, mnist, neural-network, numpy, numpy-neuralnet-exercise, regularization, relu, sgd, xavier-initializer
- Language: Python
- Homepage:
- Size: 26.4 MB
- Stars: 48
- Watchers: 4
- Forks: 13
- Open Issues: 0