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Hands-On Transfer Learning with Python
book

Hands-On Transfer Learning with Python

by Dipanjan Sarkar, Raghav Bali, Tamoghna Ghosh
August 2018
Intermediate to advanced
438 pages
12h 3m
English
Packt Publishing
Content preview from Hands-On Transfer Learning with Python

RMSprop

RMSprop modifies the AdaGrad algorithm by taking the EWMA of previous squared gradients. It has the moving average parameter, ρ, which controls the length and scale of the moving average. This is one of the most successful algorithms for deep neural network training.

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Publisher Resources

ISBN: 9781788831307Supplemental Content