Damped Newton Stochastic Gradient Descent Method for Neural Networks Training

First-order methods such as stochastic gradient descent (SGD) have recently become popular optimization methods to train deep neural networks (DNNs) for good generalization; however, they need a long training time. Second-order methods which can lower the training time are scarcely used on account o...

Fuld beskrivelse

Bibliografiske detaljer
Main Authors: Jingcheng Zhou, Wei Wei, Ruizhi Zhang, Zhiming Zheng
Format: Article
Sprog:English
Udgivet: MDPI AG 2021-06-01
Serier:Mathematics
Fag:
Online adgang:https://www.mdpi.com/2227-7390/9/13/1533

Lignende værker