A Deep Neural Network Regularization Measure: The Class-Based Decorrelation Method

A Deep Neural Network Regularization Measure: The Class-Based Decorrelation Method

In response to the challenge of overfitting, which may lead to a decline in network generalization performance, this paper proposes a new regularization technique, called the class-based decorrelation method (CDM). Specifically, this method views the neurons in a specific hidden layer as base learne...

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Bibliographic Details
Main Authors: Chenguang Zhang, Tian Liu, Xuejiao Du
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Entropy
Subjects:
deep neural network
generalization ability
regularization method
Online Access:https://www.mdpi.com/1099-4300/26/1/7

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