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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書目詳細資料
Main Authors:	Wang, Yi, Bian, Zhen-Peng, Hou, Junhui, Chau, Lap-Pui
其他作者:	School of Electrical and Electronic Engineering
格式:	Article
語言:	English
出版:	2022
主題:	Engineering::Electrical and electronic engineering Convolutional Neural Network Generalization
在線閱讀:	https://hdl.handle.net/10356/159626
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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