Convolutional neural networks with dynamic regularization

Convolutional neural networks with dynamic regularization

Regularization is commonly used for alleviating overfitting in machine learning. For convolutional neural networks (CNNs), regularization methods, such as DropBlock and Shake-Shake, have illustrated the improvement in the generalization performance. However, these methods lack a self-adaptive abilit...

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Bibliographic Details
Main Authors:	Wang, Yi, Bian, Zhen-Peng, Hou, Junhui, Chau, Lap-Pui
Other Authors:	School of Electrical and Electronic Engineering
Format:	Journal Article
Language:	English
Published:	2022
Subjects:	Engineering::Electrical and electronic engineering Convolutional Neural Network Generalization
Online Access:	https://hdl.handle.net/10356/159626

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