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VISCNN: A tool for Visualizing Interpretable Subgraphs in CNNs
Author(s) -
Christopher J. Hamblin,
George A. Alvarez
Publication year - 2021
Publication title -
journal of vision
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.126
H-Index - 113
ISSN - 1534-7362
DOI - 10.1167/jov.21.9.2674
Subject(s) - interpretability , convolutional neural network , computer science , feature (linguistics) , pruning , artificial intelligence , graph , pattern recognition (psychology) , computation , benchmark (surveying) , deep learning , machine learning , theoretical computer science , algorithm , philosophy , linguistics , geodesy , agronomy , biology , geography

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