pith. sign in

arxiv: 1712.02890 · v1 · pith:UCLQN7KMnew · submitted 2017-12-07 · 💻 cs.CV

Network Analysis for Explanation

classification 💻 cs.CV
keywords analysisinferencenetworkanalyzedartificialaspectscontributecritical
0
0 comments X
read the original 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.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.