Introduction to machine learning in JavaScript using TensorFlow.js

Introduction to machine learning in JavaScript using TensorFlow.js

TensorFlow js is a JavaScript library for training and deploying models in the browser and on Node.js.Whether you’re an expert or a beginner, TensorFlow is an end-to-end platform that makes it easy for you to build and deploy ML models.

TensorFlow has always provided a direct path to production. Whether it’s on servers, edge devices, or the web, TensorFlow lets you train and deploy your model easily, no matter what language or platform you use.

javascript TensorFlow

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TensorFlow for JavaScript

TensorFlow for JavaScript. TensorFlow.js is the recently-released JavaScript version of TensorFlow that runs in the browser and Node.js

TensorFlow for JavaScript

<strong>TensorFlow.js is the recently-released JavaScript version of TensorFlow that runs in the browser and Node.js. In this talk, the team introduced the TensorFlow.js ML framework, and showed with demo on how to perform the complete machine-learning workflow, including the training, client-side deployment, and transfer learning.</strong>

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Machine Learning in JavaScript with TensorFlow.js

TensorFlow.js is a library for Machine Learning in JavaScript. Develop ML models in JavaScript, and use ML directly in the browser or in Node.js. Interested in using Machine Learning in JavaScript applications and websites? If you’re a Javascript developer who’s new to ML, TensorFlow.js is a great way to begin learning. Or, if you’re a ML developer who’s new to Javascript, read on to learn more about new opportunities for in-browser ML.

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