TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

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Abadi, Martín; Agarwal, Ashish; Barham, Paul; Brevdo, Eugene; Chen, Zhifeng; Citro, Craig; Corrado, Greg S.; Davis, Andy; Dean, Jeffrey; Devin, Matthieu; Ghemawat, Sanjay; Goodfellow, Ian; Harp, Andrew; Irving, Geoffrey; Isard, Michael; Jia, Yangqing; Jozefowicz, Rafal; Kaiser, Lukasz; Kudlur, Manjunath; Levenberg, Josh; Mane, Dan; Monga, Rajat; Moore, Sherry; Murray, Derek; Olah, Chris; Schuster, Mike; Shlens, Jonathon; Steiner, Benoit; Sutskever, Ilya; Talwar, Kunal; ... view all 40 authors
  • Subject: Computer Science - Distributed, Parallel, and Cluster Computing | Computer Science - Learning

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 ... View more
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