Open AccessA Novel Visual Interpretability for Deep Neural Networks by Optimizing Activation Maps with Perturbation
Author(s) -
Qinglong Zhang,
Lu Rao,
Yu-Bin Yang
Publication year - 2021
Publication title -
proceedings of the ... aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v35i4.16450
Subject(s) - interpretability , computer science , artificial intelligence , artificial neural network , deep neural networks , perturbation (astronomy) , deep learning , machine learning , pattern recognition (psychology) , physics , quantum mechanics