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: 2 months ago
JSON representation

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 (about 7 years ago)
• Default Branch: master
• Last Pushed: 2018-02-06T04:25:45.000Z (almost 7 years ago)
• Last Synced: 2023-03-05T05:27:55.053Z (almost 2 years 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

Awesome Lists containing this project