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...

Celý popis

Podrobná bibliografia

Vydané v:	IEEE transactions on visualization and computer graphics Ročník 24; číslo 1; s. 88 - 97
Hlavní autori:	Minsuk Kahng, Andrews, Pierre Y., Kalro, Aditya, Chau, Duen Horng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.01.2018
Predmet:	Computational modeling Data models Data visualization deep learning Facebook information visualization Machine learning Neurons Visual analytics
ISSN:	1077-2626, 1941-0506, 1941-0506
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!