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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| Autores principales: | , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
MDPI AG
2023-12-01
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| Colección: | Entropy |
| Materias: | |
| Acceso en línea: | https://www.mdpi.com/1099-4300/26/1/7 |
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