"Building Intelligent Computer Systems With Large Scale Deep Learning"

For the past five years, the Google Brain team (g.co/brain) has conducted research on difficult problems in artificial intelligence, on building large-scale computer systems for machine learning research, and, in collaboration with many teams at Google, on
applying our research and systems to dozens of Google products. Our group has opensourced the TensorFlow system (tensorflow.org), a widely popular system designed to easily express machine learning ideas, and to quickly train, evaluate and deploy machine learning systems. In this talk, I’ll highlight some of the design decisions we made in building TensorFlow; discuss research results produced within our group in areas such as computer vision, language understanding, translation, health care and robotics; and describe ways in which these ideas have been applied to a variety of problems in Google’s products, usually in close collaboration with other teams. I will also touch on some exciting areas of research that we are currently pursuing within our group. This talk describes joint work with many people at Google.