EleAtt-RNN : Adding Attentiveness to Neurons in Recurrent Neural Networks
Recurrent neural networks (RNNs) are capable of modeling temporal dependencies of complex sequential data. In general, current available structures of RNNs tend to concentrate on controlling the contributions of current and previous information. However, the exploration of different importance level...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - (2019) vom: 02. Sept.
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| 1. Verfasser: |
Zhang, Pengfei
(VerfasserIn) |
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| Weitere Verfasser: |
Xue, Jianru,
Lan, Cuiling,
Zeng, Wenjun,
Gao, Zhanning,
Zheng, Nanning |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2019
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article |
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