AI research has seen many shifts in the last few years, from using static datasets such as Imagenet to being more
dynamic and online in self-driving cars, robots, and game playing. Many dynamic environments such as Universe and Starcraft are being used in AI research to solve problems pertaining to reinforcement learning and online learning. Soumith Chintala discusses these shifts in research and explores tools built to cope up with the paradigm shift, such as PyTorch, DyNet, and Chainer.
Soumith Chintala is a research engineer at Facebook AI Research, where he works on generative models and high-performance computing.
©2017, O'Reilly Media, Inc. • (800) 889-8969 or (707) 827-7019 • Monday-Friday 7:30am-5pm PT • All trademarks and registered trademarks appearing on oreilly.com are the property of their respective owners. • email@example.com