Methods for Interpreting and Understanding Deep Neural Networks

  title={Methods for Interpreting and Understanding Deep Neural Networks},
  author={Gr{\'e}goire Montavon and Wojciech Samek and Klaus-Robert M{\"u}ller},
  journal={Digital Signal Processing},
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. As a tutorial paper, the set of methods covered here is not exhaustive, but sufficiently representative to discuss a number of questions in interpretability, technical challenges, and possible applications. The second part of the tutorial focuses on the recently proposed layer-wise relevance propagation (LRP) technique, for… CONTINUE READING
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