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...

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Bibliographic Details

Published in:	IEEE transactions on visualization and computer graphics Vol. 24; no. 1; pp. 88 - 97
Main Authors:	Minsuk Kahng, Andrews, Pierre Y., Kalro, Aditya, Chau, Duen Horng
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.01.2018
Subjects:	Computational modeling Data models Data visualization deep learning Facebook information visualization Machine learning Neurons Visual analytics
ISSN:	1077-2626, 1941-0506, 1941-0506
Online Access:	Get full text
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