TensorFlow.js is a JavaScript library for building, training and serving

machine learning models. When running in the browser, it utilizes WebGL

acceleration. TensorFlow.js is a part of the

[TensorFlow](https://www.tensorflow.org) ecosystem.

You can import pre-trained TensorFlow

[SavedModels](https://www.tensorflow.org/programmers_guide/saved_model) and

[Keras models](https://keras.io/getting-started/faq/#how-can-i-save-a-keras-model),

for execution and retraining.

For more information on the API, follow the links to their Core and Layers

repositories below, or visit [js.tensorflow.org](https://js.tensorflow.org).

This repository contains the logic and scripts to form a **union** package,

[@tensorflowjs/tfjs](https://www.npmjs.com/package/@tensorflow/tfjs), from

- [TensorFlow.js Core](https://github.com/tensorflow/tfjs-core),

a flexible low-level API, formerly known as *deeplearn.js*.

- [TensorFlow.js Layers](https://github.com/tensorflow/tfjs-layers),

a high-level API modeled after [Keras](https://keras.io/).