meProp

Gradient optimization method

A technique to simplify backpropagation in neural networks by selectively computing only the most relevant gradients

meProp: Sparsified Back Propagation for Accelerated Deep Learning (ICML 2017)

GitHub

110 stars
12 watching
20 forks
Language: C#
last commit: over 4 years ago
back-propagationcomputer-visiondeep-learningmepropnatural-language-processingnerual-network

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