Methods for interpreting and understanding deep neural networks
Abstract
This paper provides an entry point to the problem of interpreting a deep neural network model and explaining its predictions. It is based on a tutorial given at ICASSP 2017. It introduces some recently proposed techniques of interpretation, along with theory, tricks and recommendations, to make most efficient use of these techniques on real data. It also discusses a number of practical...
Paper Details
Title
Methods for interpreting and understanding deep neural networks
Published Date
Feb 1, 2018
Journal
Volume
73
Pages
1 - 15
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