Deep Polynomial Neural Networks
Deep convolutional neural networks (DCNNs) are currently the method of choice both for generative, as well as for discriminative learning in computer vision and machine learning. The success of DCNNs can be attributed to the careful selection of their building blocks (e.g., residual blocks, rectifie...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 8 vom: 11. Aug., Seite 4021-4034
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| 1. Verfasser: |
Chrysos, Grigorios G
(VerfasserIn) |
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| Weitere Verfasser: |
Moschoglou, Stylianos,
Bouritsas, Giorgos,
Deng, Jiankang,
Panagakis, Yannis,
Zafeiriou, Stefanos |
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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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