Advanced Dropout : A Model-Free Methodology for Bayesian Dropout Optimization
Due to lack of data, overfitting ubiquitously exists in real-world applications of deep neural networks (DNNs). We propose advanced dropout, a model-free methodology, to mitigate overfitting and improve the performance of DNNs. The advanced dropout technique applies a model-free and easily implement...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 9 vom: 24. Sept., Seite 4605-4625
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| 1. Verfasser: |
Xie, Jiyang
(VerfasserIn) |
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| Weitere Verfasser: |
Ma, Zhanyu,
Lei, Jianjun,
Zhang, Guoqiang,
Xue, Jing-Hao,
Tan, Zheng-Hua,
Guo, Jun |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2022
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't |
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