September 26-27, 2016
New York, NY
Orion Wolfe

Orion Wolfe
., Preferred Networks

Orion Wolfe started his career working on aerospace guidance, controls, modeling, and simulation. He then worked as quantitative trader, developing strategies as part of a statistical arbitrage trading group. Inspired to learn more about computer science while still furthering his skills in modeling, Orion joined a research group in applied machine learning with a focus on semiconductor manufacturing tools and anomaly detection. He holds a BS with honors in electrical engineering from UCLA and an MS in management science and engineering from Stanford. While in college, Orion performed research in particle physics and support vector machines.

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.