Schedule
Back![Naotoshi Seo](https://www.gravatar.com/avatar/aef92c3acc29ad8543e04135687fc4f1?s=268&d=https%3A%2F%2Frubykaigi.org%2F2019%2Fimages%2Fspeakers%2Fdummy-avatar.png)
Naotoshi Seo
The author of Cumo, CUDA aware numerical library for Ruby. CRuby, Fluentd, and Chainer committer working at ZOZO Technologies, Inc.
![Yusaku Hatanaka](https://www.gravatar.com/avatar/c582b722e015633f7900083f8ea75732?s=268&d=https%3A%2F%2Frubykaigi.org%2F2019%2Fimages%2Fspeakers%2Fdummy-avatar.png)
Yusaku Hatanaka
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.