Chainer Blog

ChainerRL - Deep Reinforcement Learning Library

By Shohei Hido
Feb 22, 2017
In General

Chainer-based deep reinforcement learning library, ChainerRL has been released. https://github.com/pfnet/chainerrl

Performance of Distributed Deep Learning using ChainerMN

By Takuya Akiba
Feb 8, 2017
In General

At Deep Learning Summit 2017 in San Francisco on this January, PFN announced advancements on distributed deep learning using Chainer in multi-node environment. In this post, I would like to explain the detail of the announcement.

Research projects using Chainer

By Shunta Saito
Dec 1, 2016
In General

Recently we found some great research projects that are using Chainer for their algorithm implementations and experiments. We searched for such publicly available projects on arXiv and summarized them here as a table that lists papers along with their URL links: Research projects using Chainer.

Plan of v2

By Seiya Tokui
Nov 15, 2016
In Announcement

We are planning the first major update of Chainer! It is currently scheduled for next March or April.

New release cycle

By Kenta Oono
Nov 10, 2016
In Announcement

Starting from the release of v1.18.0, we will have one release every four weeks instead of the current cycle of one release every two weeks.

About Chainer Blog

By Brian Vogel
Nov 1, 2016
In General

This is the official blog of Chainer, a framework for neural networks. In this blog, we will provide information about Chainer and its development, including:

About Chainer

Chainer is a Python-based, standalone open source framework for deep learning models. Chainer provides a flexible, intuitive, and high performance means of implementing a full range of deep learning models, including state-of-the-art models such as recurrent neural networks and variational autoencoders.

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