ACTIVIS : Visual Exploration of Industry-Scale Deep Neural Network Models
While deep learning models have achieved state-of-the-art accuracies for many prediction tasks, understanding these models remains a challenge. Despite the recent interest in developing visual tools to help users interpret deep learning models, the complexity and wide variety of models deployed in i...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on visualization and computer graphics. - 1996. - 24(2018), 1 vom: 30. Jan., Seite 88-97
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| 1. Verfasser: |
Kahng, Minsuk
(VerfasserIn) |
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| Weitere Verfasser: |
Andrews, Pierre Y,
Kalro, Aditya,
Polo Chau, Duen Horng |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2018
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on visualization and computer graphics
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| Schlagworte: | Journal Article
Research Support, U.S. Gov't, Non-P.H.S. |
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