LocalDrop : A Hybrid Regularization for Deep Neural Networks
In neural networks, developing regularization algorithms to settle overfitting is one of the major study areas. We propose a new approach for the regularization of neural networks by the local Rademacher complexity called LocalDrop. A new regularization function for both fully-connected networks (FC...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 7 vom: 23. Juli, Seite 3590-3601
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| Auteur principal: |
Lu, Ziqing
(Auteur) |
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| Autres auteurs: |
Xu, Chang,
Du, Bo,
Ishida, Takashi,
Zhang, Lefei,
Sugiyama, Masashi |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2022
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article
Research Support, Non-U.S. Gov't |
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