Develop ML models in JavaScript, and use ML directly in the browser or in Node.js. Tutorials show you how to use TensorFlow.js with complete, end-to-end examples. Pre-trained, out-of-the-box models …

TensorFlow.js is an open-source hardware-accelerated JavaScript library for training and deploying machine learning models. Use flexible and intuitive APIs to build models from scratch using the low …

There are two main ways to get TensorFlow.js in your JavaScript project: via script tags or by installing it from NPM and using a build tool like Parcel, WebPack, or Rollup.

In January 2019, Google developers released TensorFlow.js, the JavaScript Implementation of TensorFlow. Tensorflow.js was designed to provide the same features as the original TensorFlow …

Feb 9, 2023 · This tutorial shows you how to get started with TensorFlow.js by training a minimal model in the browser and using the model to make a prediction. The example code is available on GitHub.

Jul 23, 2025 · TensorFlow.js brings machine learning to the browser and Node.js. It allows developers to build and run ML models directly in JavaScript and access AI for web applications.

Oct 31, 2025 · TensorFlow.js was designed to provide the same features and functionalities as traditional TensorFlow, but for the JavaScript ecosystem. Today, we’re going to dive deeper into …

TensorFlow.js is an open-source hardware-accelerated JavaScript library for training and deploying machine learning models. Use flexible and intuitive APIs to build models from scratch using the low …

Sep 25, 2024 · TensorFlow.js is an open-source library that allows you to define, train, and run machine learning models entirely in JavaScript. It runs both in the browser and on Node.js, making it …

TensorFlow.js Examples This repository contains a set of examples implemented in TensorFlow.js. Each example directory is standalone so the directory can be copied to another project.