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TensorFlow.js: Machine Learning for the Web and Beyond | Linux.com

TensorFlow.js: Machine Learning for the Web and Beyond | Linux.com

TensorFlow.js: device studying for the internet and past Smilkov et al., SysML’19

If device studying and ML fashions are to pervade all of our packages and techniques, then they’d higher move to the place the packages are somewhat than the opposite direction spherical. Increasingly, that suggests JavaScript – each in the browser and on the server.

TensorFlow.js brings TensorFlow and Keras to the the JavaScript ecosystem, supporting each Node.js and browser-based packages. As smartly as programmer accessibility and ease of integration, operating on-device signifies that in lots of instances consumer information by no means has to depart the gadget.

On-device computation has a number of advantages, together with information privateness, accessibility, and low-latency interactive packages.

TensorFlow.js isn’t simply for fashion serving, you’ll run coaching with it as smartly. Since its release in March 2018, other folks have completed a variety of inventive issues with it. And because it runs in the browser, those are all obtainable to you with only one click on!

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