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tutorials of XAI project
Jupyter Notebook Python
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README.md

README.md

tutorials

This repository contains a number of different tutorials by XAI Proeject.

  1. Basic-LRP : Taylor decomposition and simple LRP method for the explanation of non-linear classification decision.

  2. LRP-Time-Series Tutorial : Explaining Time Series Deep Learning Models with Layer-wise Relevance Propagation

  3. Visual-Explanation-of-Atari : Visual Interpretation of Deep Reinforcement Learning for Atari Games

License

Apache License 2.0



XAI Project

These works were supported by Institute for Information & Communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No.2017-0-01779, A machine learning and statistical inference framework for explainable artificial intelligence)

  • Project Name : A machine learning and statistical inference framework for explainable artificial intelligence(의사결정 이유를 설명할 수 있는 인간 수준의 학습·추론 프레임워크 개발)

  • Managed by Ministry of Science and ICT/XAIC

  • Participated Affiliation : UNIST, Korea Univ., Yonsei Univ., KAIST, AItrics

  • Web Site : http://openXai.org

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