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