Schedule

Back
Naotoshi Seo
Naotoshi Seo
@sonots

The author of Cumo, CUDA aware numerical library for Ruby. CRuby, Fluentd, and Chainer committer working at ZOZO Technologies, Inc.

Yusaku Hatanaka
Yusaku Hatanaka
@hatappi

The author of Red Chainer. I'm working at Mercuri Inc. Red Data Tools project member.

Red Chainer and Cumo: Practical Deep Learning in Ruby

We will introduce Red Chainer which is a deep learning framework purely written in Ruby and Cumo which is GPU aware fast numerical library for Ruby, and talk about their evolutions.

In this talk, we describe:

  • Current status about Deep Learning and Scientific Computing in Ruby.
  • Introduction about Red Chainer project.
  • Introduction of the ONNX data format, and automatic generation of Ruby codes by supporting ONNX with Red Chainer.
  • Introduction about Cumo project, and its support in Red Chainer.
  • Recent updates about supporting Fast Convolutional Neural Networks in Red Chainer.

Also, @sonots talks about ChainerX and a plan to make a further faster deep learning with its ruby bindings.

Presentation Material