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.