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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Bibliographic Details

Published in:	Journal of computational and applied mathematics Vol. 451; p. 116083
Main Authors:	Franchini, Giorgia, Porta, Federica, Ruggiero, Valeria, Trombini, Ilaria, Zanni, Luca
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.12.2024
Subjects:	Deep learning Hyperparameters tuning Line search Stochastic gradient method Line search Deep learning Stochastic gradient method Hyperparameters tuning
ISSN:	0377-0427
Online Access:	Get full text
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