# TensorFlow.js Core API > NOTE: Building on the momentum of deeplearn.js, we have joined the TensorFlow family and we are starting a new ecosystem of libraries and tools for Machine Learning in Javascript, called [TensorFlow.js](https://js.tensorflow.org). This repo moved from `PAIR-code/deeplearnjs` to `tensorflow/tfjs-core`. A part of the TensorFlow.js ecosystem, this repo hosts `@tensorflow/tfjs-core`, the TensorFlow.js Core API, which provides low-level, hardware-accelerated linear algebra operations and an eager API for automatic differentiation. Check out [js.tensorflow.org](https://js.tensorflow.org) for more information about the library, tutorials and API docs. To keep track of issues, we use the [tensorflow/tfjs](https://github.com/tensorflow/tfjs) Github repo. ## Importing You can install TensorFlow.js via yarn or npm. We recommend using the [@tensorflow/tfjs](https://www.npmjs.com/package/@tensorflow/tfjs) npm package, which gives you both this Core API and the higher-level [Layers API](https://github.com/tensorflow/tfjs-layers): ```js import * as tf from '@tensorflow/tfjs'; // You have the Core API: tf.matMul(), tf.softmax(), ... // You also have Layers API: tf.model(), tf.layers.dense(), ... ``` On the other hand, if you care about the bundle size and you do not use the Layers API, you can import only the Core API: ```js import * as tfc from '@tensorflow/tfjs-core'; // You have the Core API: tfc.matMul(), tfc.softmax(), ... // No Layers API. ``` For info about development, check out [DEVELOPMENT.md](./DEVELOPMENT.md). ## For more information - [TensorFlow.js API documentation](https://js.tensorflow.org/api/latest/) - [TensorFlow.js Tutorials](https://js.tensorflow.org/tutorials/) Thanks BrowserStack for providing testing support.