Large Scale Deep Learning with TensorFlow

author: Jeffrey Dean, Google, Inc.
published: Aug. 23, 2016,   recorded: August 2016,   views: 21626


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The last few years have seen deep learning make significant advances in fields as diverse as speech recognition, image understanding, natural language understanding, translation, robotics, and healthcare. In this talk I'll describe some of the machine learning research done by the Google Brain team (often in collaboration with others at Google). As part of our research, we have built two systems, DistBelief, and TensorFlow, for training large-scale deep learning models on large datasets. I'll describe some of the distributed system techniques we use to scale training of such modelsbeyond single devices, as well describe some of the design decisions and implementation of TensorFlow system, which was open sourced in November, 2015.

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Reviews and comments:

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Comment2 Noritz, May 22, 2022 at 5:15 p.m.:

Thanks for talking about it. In fact, this is a very interesting topic to study. I am glad that I live in an age of such high technology and that we are moving towards progress. This makes me happy. I hope that someday we will achieve that such scientific works really give us a different point of view about this world. It will be just wonderful.

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