Yes, TensorFlow.js can be used with Node.js. TensorFlow.js is a JavaScript library that allows developers to run machine learning models directly in the browser or on the server using Node.js.

  To use TensorFlow.js with Node.js, you can install it as a package using npm (Node Package Manager) or Yarn. Once installed, you can import TensorFlow.js in your Node.js script and utilize its APIs to load pre-trained models, train new models, or perform inference on data.

  TensorFlow.js provides APIs for both high-level and low-level operations. The high-level API allows you to quickly load and execute pre-trained models with minimal code. It also provides utility functions for common tasks such as image classification and text generation.

  On the other hand, the low-level API allows you to build and train custom machine learning models using TensorFlow.js layers. You can define layers, connect them to form a network, and train the network using data sets. The low-level API gives you more control and flexibility but requires a deeper understanding of machine learning concepts.

  In summary, TensorFlow.js is compatible with Node.js and provides a powerful toolset for implementing machine learning models and algorithms in JavaScript. It allows you to leverage the TensorFlow ecosystem and benefit from the extensive community support and resources available.