A stochastic gradient method with variance control and variable learning rate for Deep Learning

In this paper we study a stochastic gradient algorithm which rules the increase of the mini-batch size in a predefined fashion and automatically adjusts the learning rate by means of a monotone or non-monotone line search procedure. The mini-batch size is incremented at a suitable a priori rate thro...

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Vydané v:	Journal of computational and applied mathematics Ročník 451; s. 116083
Hlavní autori:	Franchini, Giorgia, Porta, Federica, Ruggiero, Valeria, Trombini, Ilaria, Zanni, Luca
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.12.2024
Predmet:	Deep learning Hyperparameters tuning Line search Stochastic gradient method Line search Deep learning Stochastic gradient method Hyperparameters tuning
ISSN:	0377-0427
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