TFjs

TFjs, also known as TensorFlow.js, is an open-source JavaScript library for training and deploying machine learning models in the browser and on Node.js. It allows developers to build and run machine learning models directly within web applications, eliminating the need for server-side computation for many tasks. TFjs supports a wide range of machine learning tasks, including image recognition, natural language processing, and regression.

The library provides tools for both training models from scratch and converting existing models from other frameworks like TensorFlow and Keras. This conversion capability is particularly useful for leveraging pre-trained models without extensive re-engineering. TFjs offers different backends for execution, including the WebGL backend for accelerated GPU computation in browsers and the CPU backend for environments where WebGL is not available.

For Node.js users, TFjs provides a backend that can utilize TensorFlow's C++ libraries, enabling high-performance machine learning on the server. The library's API is designed to be intuitive for JavaScript developers, making machine learning more accessible. It supports various data manipulation techniques and provides pre-built layers and optimizers for model construction. TFjs is actively developed and maintained by Google, with a growing community contributing to its ecosystem.