Damped Newton Stochastic Gradient Descent Method for Neural Networks Training

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...

Deskribapen osoa

Xehetasun bibliografikoak
Egile Nagusiak:	Jingcheng Zhou, Wei Wei, Ruizhi Zhang, Zhiming Zheng
Formatua:	Artikulua
Hizkuntza:	English
Argitaratua:	MDPI AG 2021-06-01
Saila:	Mathematics
Gaiak:	stochastic gradient descent damped Newton convexity
Sarrera elektronikoa:	https://www.mdpi.com/2227-7390/9/13/1533

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