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TensorFlow: Large-Scale Machine Learning on …

tensorflow : Large-Scale Machine Learning on Heterogeneous Distributed Systems(Preliminary White Paper, November 9, 2015)Mart n Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro,Greg S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow,Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Jozefowicz, Lukasz Kaiser,Manjunath Kudlur, Josh Levenberg, Dan Man e, Rajat Monga, Sherry Moore, Derek Murray,Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar,Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Vi egas, Oriol Vinyals,Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, and Xiaoqiang ZhengGoogle Research AbstractTensorFlow [1]

chines with thousands of GPUs. Having a single system that can span such a broad range of platforms signifi-cantly simplifies the real-world use of machine learning system, as we have found that having separate systems for large-scale training and small-scale deployment leads to significant maintenance burdens and leaky abstrac-tions.

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