Distributed TensorFlow (TensorFlow Dev Summit 2017)

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Published Feb 15, 2017

TensorFlow gives you the flexibility to scale up to hundreds of GPUs, train models with a huge number of parameters, and customize every last detail of the training process. In this talk, Derek Murray gives you a bottom-up introduction to Distributed TensorFlow, showing all the tools available for harnessing this power.
Further reading:
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Check out the TensorFlow website for the livestream and all session recordings after the event:
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Category: Tutorials

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Distributed TensorFlow (TensorFlow Dev Summit 2017)

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