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XLA: TensorFlow, Compiled! (TensorFlow Dev Summit 2017)

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Speed is everything for effective machine learning, and XLA was developed to reduce training and inference time. In this talk, Chris Leary and Todd Wang describe how TensorFlow can make use of XLA, JIT, AOT, and other compilation techniques to minimize execution time and maximize computing resources.
Check out the TensorFlow website for the livestream and all session recordings after the event:
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Tutorials
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