# tfjs-core
**Repository Path**: gerryshibei/tfjs-core
## Basic Information
- **Project Name**: tfjs-core
- **Description**: WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.
- **Primary Language**: TypeScript
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No
## Statistics
- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-06-02
- **Last Updated**: 2020-12-19
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## README
# TensorFlow.js Core API
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.