keuntaekim / tutorials

tutorials of XAI project

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 Atrai 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