In this video presentation from the Spark Summit 2016 conference in San Francisco, Google’s Jeff Dean examines large scale deep learning with the TensorFlow framework. Jeff joined Google in 1999 and is currently a Google Senior Fellow. He currently works in Google’s Research division, where he co-founded and leads the Google Brain team, Google’s deep learning research team in Mountain View. He is a co-designer and co-implementor of Google’s distributed computing infrastructure, including the MapReduce, BigTable, Spanner, DistBelief and TensorFlow systems, protocol buffers, LevelDB, and a variety of internal and external libraries and developer tools. He received a Ph.D. in Computer Science from the University of Washington in 1996.
The slides for Dean’s talk are provided below:
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