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Integrated Gradients for PhoenixGo

Integrated Gradients: Axiomatic Attribution for Deep Networks
Integrated Gradients in RL: RUDDER: Return Decomposition for Delayed Rewards
PhoenixGo: https://github.com/Tencent/PhoenixGo
GoGUI: https://github.com/Remi-Coulom/gogui

Usage:

1: pip install tensorflow
2: wget https://github.com/Tencent/PhoenixGo/releases/download/trained-network-20b-v1/trained-network-20b-v1.tar.gz
3: tar -xzvf trained-network-20b-v1.tar.gz && cd trained-network-20b-v1/ckpt
4: wget https://github.com/yenw/IntegratedGradients/blob/master/IG_GTP.py
5: wget https://github.com/yenw/IntegratedGradients/blob/master/IG_GTP.sh && chmod +x IG_GTP.sh
6: download and install GoGUI
7: let IG_GTP.sh be the GTP engine of GoGUI

Screenshot

Version

2018.09.17 V0.1