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Combining learning rate decay and weight decay with complexity gradient
  descent - Part I

Combining learning rate decay and weight decay with complexity gradient descent - Part I

7 February 2019
Pierre Harvey Richemond
Yike Guo
ArXivPDFHTML

Papers citing "Combining learning rate decay and weight decay with complexity gradient descent - Part I"

2 / 2 papers shown
Title
Adaptive Regularization via Residual Smoothing in Deep Learning
  Optimization
Adaptive Regularization via Residual Smoothing in Deep Learning Optimization
Jung-Kyun Cho
Junseok Kwon
Byung-Woo Hong
26
1
0
23 Jul 2019
A disciplined approach to neural network hyper-parameters: Part 1 --
  learning rate, batch size, momentum, and weight decay
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay
L. Smith
202
1,019
0
26 Mar 2018
1