Official tfjs examples repo
A curated collection of standalone examples demonstrating machine learning tasks with TensorFlow.js in browsers and Node.js.
What is Official tfjs examples repo?
TensorFlow.js Examples is a collection of code samples that demonstrate how to implement various machine learning models and tasks using TensorFlow.js. It solves the problem of learning and applying ML in JavaScript environments by providing concrete, runnable examples that cover everything from loading data and training models to inference and deployment across browsers and Node.js.
JavaScript developers, web developers, and ML practitioners who want to learn or implement machine learning directly in the browser or Node.js using TensorFlow.js.
Developers choose this project because it offers a hands-on, practical way to explore TensorFlow.js capabilities with production-ready, standalone examples that can be easily adapted, reducing the learning curve and accelerating development of ML-powered applications.
Overview
Examples built with TensorFlow.js
Use Cases
Best For
- Learning how to train neural networks directly in the browser
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