English

Network Analysis for Explanation

Computer Vision and Pattern Recognition 2017-12-11 v1

Abstract

Safety critical systems strongly require the quality aspects of artificial intelligence including explainability. In this paper, we analyzed a trained network to extract features which mainly contribute the inference. Based on the analysis, we developed a simple solution to generate explanations of the inference processes.

Keywords

Cite

@article{arxiv.1712.02890,
  title  = {Network Analysis for Explanation},
  author = {Hiroshi Kuwajima and Masayuki Tanaka},
  journal= {arXiv preprint arXiv:1712.02890},
  year   = {2017}
}