Towards Efficient Visual Simplification of Computational Graphs in Deep Neural Networks
A computational graph in a deep neural network (DNN) denotes a specific data flow diagram (DFD) composed of many tensors and operators. Existing toolkits for visualizing computational graphs are not applicable when the structure is highly complicated and large-scale (e.g., BERT (Devlin et al. 2019))...
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Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on visualization and computer graphics. - 1996. - 30(2024), 7 vom: 01. Juni, Seite 3359-3373
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| 1. Verfasser: |
Pan, Rusheng
(VerfasserIn) |
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| Weitere Verfasser: |
Wang, Zhiyong,
Wei, Yating,
Gao, Han,
Ou, Gongchang,
Cao, Caleb Chen,
Xu, Jingli,
Xu, Tong,
Chen, Wei |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2024
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on visualization and computer graphics
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| Schlagworte: | Journal Article |
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