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Large Scale Distributed Deep Networks Bibtex Bibliography

Title: TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

Authors:Martín 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 Mane, 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 Viegas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, Xiaoqiang Zheng

(Submitted on 14 Mar 2016 (v1), last revised 16 Mar 2016 (this version, v2))

Abstract: TensorFlow is an interface for expressing machine learning algorithms, and an implementation for executing such algorithms. A computation expressed using TensorFlow can be executed with little or no change on a wide variety of heterogeneous systems, ranging from mobile devices such as phones and tablets up to large-scale distributed systems of hundreds of machines and thousands of computational devices such as GPU cards. The system is flexible and can be used to express a wide variety of algorithms, including training and inference algorithms for deep neural network models, and it has been used for conducting research and for deploying machine learning systems into production across more than a dozen areas of computer science and other fields, including speech recognition, computer vision, robotics, information retrieval, natural language processing, geographic information extraction, and computational drug discovery. This paper describes the TensorFlow interface and an implementation of that interface that we have built at Google. The TensorFlow API and a reference implementation were released as an open-source package under the Apache 2.0 license in November, 2015 and are available at www.tensorflow.org.

Submission history

From: Ian Goodfellow [view email]
[v1] Mon, 14 Mar 2016 20:50:20 GMT (1364kb,D)
[v2] Wed, 16 Mar 2016 16:57:12 GMT (1364kb,D)

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Large scale distributed deep networks

Authors: Jeffrey DeanGoogle Inc., Mountain View, CA
Greg S. CorradoGoogle Inc., Mountain View, CA
Rajat MongaGoogle Inc., Mountain View, CA
Kai ChenGoogle Inc., Mountain View, CA
Matthieu DevinGoogle Inc., Mountain View, CA
Quoc V. LeGoogle Inc., Mountain View, CA
Mark Z. MaoGoogle Inc., Mountain View, CA
Marc'Aurelio RanzatoGoogle Inc., Mountain View, CA
Andrew SeniorGoogle Inc., Mountain View, CA
Paul TuckerGoogle Inc., Mountain View, CA
Ke YangGoogle Inc., Mountain View, CA
Andrew Y. NgGoogle Inc., Mountain View, CA
2012 Article
· Citation Count: 88
· Downloads (cumulative): 0
· Downloads (12 Months): 0
· Downloads (6 Weeks): 0

Published in:
· Proceeding
NIPS'12 Proceedings of the 25th International Conference on Neural Information Processing Systems - Volume 1
Pages 1223-1231

Lake Tahoe, Nevada — December 03 - 06, 2012
Curran Associates Inc., USA ©2012
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