It was developed by the Google Brain team for Google's internal use in research and production.[7][8][9] The initial version was released under the Apache License 2.0 in 2015.[1][10] Google released an updated version, TensorFlow 2.0, in September 2019.[11]
TensorFlow can be used in a wide variety of programming languages, including Python, JavaScript, C++, and Java,[12] facilitating its use in a range of applications in many sectors.
^ ab"Credits". TensorFlow.org. Archived from the original on November 17, 2015. Retrieved November 10, 2015.
^Abadi, Martín; Barham, Paul; Chen, Jianmin; Chen, Zhifeng; Davis, Andy; Dean, Jeffrey; Devin, Matthieu; Ghemawat, Sanjay; Irving, Geoffrey; Isard, Michael; Kudlur, Manjunath; Levenberg, Josh; Monga, Rajat; Moore, Sherry; Murray, Derek G.; Steiner, Benoit; Tucker, Paul; Vasudevan, Vijay; Warden, Pete; Wicke, Martin; Yu, Yuan; Zheng, Xiaoqiang (2016). TensorFlow: A System for Large-Scale Machine Learning(PDF). Proceedings of the 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI ’16). arXiv:1605.08695. Archived(PDF) from the original on December 12, 2020. Retrieved October 26, 2020.
^TensorFlow: Open source machine learning. Google. 2015. Archived from the original on November 11, 2021. "It is machine learning software being used for various kinds of perceptual and language understanding tasks" – Jeffrey Dean, minute 0:47 / 2:17 from YouTube clip