Transcription of TensorFlow: Large-Scale Machine Learning on …
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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]
put names that need to be computed, as well as an op-tional set of tensors to be fed into the graph in place of certain outputs of nodes. Using the arguments to Run, the TensorFlow implementation can compute the transi-tive closure of all nodes that must be executed in order to compute the outputs that were requested, and can then
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