Chainer family

 

Recently several sub-libraries for Chainer are released,

ChainerRL

RL: Reinforcement Learning

Deep Reinforcement Learning library.

Atari 2600 play

cite from http://chainer.org/general/2017/02/22/ChainerRL-Deep-Reinforcement-Learning-Library.html

Recent state-of-the-art deep reinforcement algorithms are implemented, including

  • A3C (Asynchronous Advantage Actor-Critic)
  • ACER (Actor-Critic with Experience Replay) (only the discrete-action version for now)
  • Asynchronous N-step Q-learning
  • DQN (including Double DQN, Persistent Advantage Learning (PAL), Double PAL, Dynamic Policy Programming (DPP))
  • DDPG (Deep Deterministic Poilcy Gradients) (including SVG(0))
  • PGT (Policy Gradient Theorem) 

How to install

 

 

ChainerCV

CV: Computer Vision

Image processing library for deep learning training. Common data-augmentation are implemented.

How to install

ChainerMN

MN: Multi Node

Distributed deep learning framework for Chainer.

It was announced at Deep Learning Summit 2017 that training time for ImageNet classification task took 4.4 hours (ResNet-50, 100 Epochs, 128 GPUs), which is fastest among other distributed deep learning frameworks known to date.

Reference

How to install

– It is not released yet. 

Sponsored Links

Leave a Reply

Your email address will not be published.