Network Analysis for Explanation

7 Dec 2017  ·  Hiroshi Kuwajima, Masayuki Tanaka ·

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.

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