This repo is under active development and is not production-ready. We are actively developing as an open source project.

npm install @tensorflow/tfjs-node
(or)
yarn add @tensorflow/tfjs-node

Before executing any TensorFlow.js code, load and set the backend to 'tensorflow'.

import * as tf from '@tensorflow/tfjs';
import '@tensorflow/tfjs-node';

tf.setBackend('tensorflow');

# Download and install JS dependencies, including libtensorflow 1.8.
yarn

# Run TFJS tests against Node.js backend:
yarn test

See the demo directory that trains MNIST using TensorFlow.js with the TensorFlow C backend.

cd demo/
yarn

# Run the training script. See demo/package.json for this script.
yarn mnist

The important line to note is at the top of mnist.ts, which sets the backend to TensorFlow.

This requires installing bazel first.

bazel build //tensorflow/tools/lib_package:libtensorflow

• Mac OS
• Linux
• Windows coming soon