Implicit Regularization of Dropout
It is important to understand how dropout, a popular regularization method, aids in achieving a good generalization solution during neural network training. In this work, we present a theoretical derivation of an implicit regularization of dropout, which is validated by a series of experiments. Addi...
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 6 vom: 01. Juni, Seite 4206-4217 |
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| Format: | Article en ligne |
| Langue: | English |
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2024
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence |
| Sujets: | Journal Article |
| Accès en ligne |
Volltext |