TensorFlow

Contents

TensorFlow is an open source machine learning software library for numerical computation. It uses nodes to represent mathematical operations and graph edges represent the multidimensional data arrays or tensors communicated between them in the data graph.

Its architecture is flexible, it allows users to extend computation to one or more CPUs or GPUs in a desktop, server or mobile device with a single API.

TensorFlow was developed by researchers and engineers of Google Brain team within Google's Machine Intelligence research organization. Its original purpose was for conducting machine learning and deep neural networks research. It was applicable in a wide variety of other domains. Google initially released it on November 9, 2015 and was solidly released on December 8, 2017.

TensorFlow is the foundation of automated software, such as DeepDream and RankBrain. RankBrain now handles a significant number of search queries for Google, replacing and supplementing traditional static algorithm-based search results.

TensorFlow is written in C++ and currently has API available in Python, C++, Java and Go. It would build an computation graph and execute symbolic differentiation.

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Further Resources

Title

Author

Link

Type

Date

Machine Learning with TensorFlow

Nishant Shukla

https://www.manning.com/books/machine-learning-with-tensorflow

Web

TensorFlow Agents: Efficient Batched Reinforcement Learning in TensorFlow

Danijar Hafner, James Davidson, Vincent Vanhoucke

http://arxiv.org/abs/1709.02878v1

Academic paper

TensorFlow Distributions

Joshua V. Dillon, Ian Langmore, Dustin Tran, Eugene Brevdo, Srinivas Vasudevan, Dave Moore, Brian Patton, Alex Alemi, Matt Hoffman, Rif A. Saurous

http://arxiv.org/abs/1711.10604v1

Academic paper

TensorFlow: A system for large-scale machine learning

Martín Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, Manjunath Kudlur, Josh Levenberg, Rajat Monga, Sherry Moore, Derek G. Murray, Benoit Steiner, Paul Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, Xiaoqiang Zheng

http://arxiv.org/abs/1605.08695v2

Academic paper

TensorFlow: A System for Large-Scale Machine Learning

Martín Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean,Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, Manjunath Kudlur,Josh Levenberg, Rajat Monga, Sherry Moore, Derek G. Murray, Benoit Steiner, Paul Tucker,Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng and Google Brain

https://www.usenix.org/system/files/conference/osdi16/osdi16-abadi.pdf

Academic paper