TensorFlow.js: Machine Learning for the Web and Beyond

Nikhil Thorat
Nikhil Thorat
Yannick Assogba
Yannick Assogba
Ann Yuan
Ann Yuan
Nick Kreeger
Nick Kreeger
Ping Yu
Ping Yu
Kangyi Zhang
Kangyi Zhang
Eric Nielsen
Eric Nielsen
David Soergel
David Soergel
Stan Bileschi
Stan Bileschi
Michael Terry
Michael Terry

arXiv: Learning, Volume abs/1901.05350, 2019.

Cited by: 1|Bibtex|Views180
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

TensorFlow.js is a library for building and executing machine learning algorithms in JavaScript. TensorFlow.js models run in a web browser and in the Node.js environment. The library is part of the TensorFlow ecosystem, providing a set of APIs that are compatible with those in Python, allowing models to be ported between the Python and Ja...More

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