TensorFlow.js is a JavaScript library for training and deploying machine learning models in the web browser and in Node.js.
This page lists some ways to get started with TensorFlow.js.
Code ML programs without dealing directly with tensors
If you want to get started with machine learning without managing optimizers or tensor manipulation, then check out the ml5.js library.
Built on top of TensorFlow.js, the ml5.js library provides access to machine learning algorithms and models in the web browser with a concise, approachable API.
Install TensorFlow.js
See how to install TensorFlow.js for implementation in the web browser or Node.js.
Convert pretrained models to TensorFlow.js
Learn how to convert pretrained models from Python to TensorFlow.js.
Learn from existing TensorFlow.js code
The tfjs-examples repository provides small example implementations for various ML tasks using TensorFlow.js.
Visualize the behavior of your TensorFlow.js model
tfjs-vis is a small library for visualization in the web browser intended for use with TensorFlow.js.
View tfjs-vis on GitHub See Demo
Prepare data for processing with TensorFlow.js
TensorFlow.js has support for processing data using ML best practices.