September 26-27, 2016
New York, NY
Shohei Hido

Shohei Hido
Researcher, Preferred Networks

Shohei Hido is the chief research officer of Preferred Networks, a spin-off company of Preferred Infrastructure, Inc., where he is currently responsible for Deep Intelligence in Motion, a software platform for using deep learning in IoT applications. Previously, Shohei was the leader of Preferred Infrastructure’s Jubatus project, an open source software framework for real-time, streaming machine learning and worked at IBM Research in Tokyo for six years as a staff researcher in machine learning and its applications to industries. Shohei holds an MS in informatics from Kyoto University.

Sessions

3:45pm–4:25pm Tuesday, 09/27/2016
Location: River Pavilion B
Orion Wolfe (Preferred Networks), Shohei Hido (Preferred Networks)
Average rating: ****.
(4.00, 1 rating)
Open source software frameworks are the key for applying deep learning technologies. Orion Wolfe and Shohei Hido introduce Chainer, a Python-based standalone framework that enables users to intuitively implement many kinds of other models, including recurrent neural networks, with a lot of flexibility and comparable performance to GPUs. Read more.