Transcription of TensorFlow: Large-Scale Machine Learning on …
{{id}} {{{paragraph}}}
Example: bankruptcy
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] is an interface for expressing Machine learn-ing algorithms, and an implementation for executing such al-gorithms. A computation expressed using tensorflow can beexecuted with little or no change on a wide variety of hetero-geneous systems, ranging from mobile devices such as phonesand tablets up to Large-Scale distributed systems of hundredsof machines and thousands of computational devices such asGPU cards.
research purposes and sufficiently high performance and robust for production training and deployment of ma- ... tional set of tensors to be fed into the graph in place of certain outputs of nodes. Using the arguments to Run, ... a Variable is a special kind of opera-tion that returns a handle to a persistent mutable tensor that survives ...
Loading..
Tags:
Information
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document: