# TensorFlowjs
**Repository Path**: skymysky/TensorFlowjs
## Basic Information
- **Project Name**: TensorFlowjs
- **Description**: TensorFlow.js 是一个开源硬件加速 JavaScript 库，用于训练和部署机器学习模型
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No
## Statistics
- **Stars**: 0
- **Forks**: 13
- **Created**: 2018-04-07
- **Last Updated**: 2020-12-20
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## README
[](https://travis-ci.org/tensorflow/tfjs)
# TensorFlow.js
TensorFlow.js is an open-source hardware-accelerated JavaScript library for
training and deploying machine learning models.
**Develop ML in the Browser**
Use flexible and intuitive APIs to build models from scratch using the low-level
JavaScript linear algebra library or the high-level layers API.
**Run Existing models**
Use TensorFlow.js model converters to run pre-existing TensorFlow models right
in the browser.
**Retrain Existing models**
Retrain pre-existing ML models using sensor data connected to the browser, or
other client-side data.
## About this repo
This repository contains the logic and scripts that combine
two packages:
- [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 which implements functionality similar to
[Keras](https://keras.io/).
- [TensorFlow.js Converter](https://github.com/tensorflow/tfjs-converter),
tools to import a TensorFlow SavedModel to TensorFlow.js
If you care about bundle size, you can import those packages individually.
## Examples
Check out our
[examples repository](https://github.com/tensorflow/tfjs-examples)
and our [tutorials](https://js.tensorflow.org/tutorials/).
## Gallery
Be sure to check out [the gallery](GALLERY.md) of all projects related to TensorFlow.js.
## Pre-trained models
Be sure to also check out our [models repository](https://github.com/tensorflow/tfjs-models) where we host pretrained models
on NPM.
## Getting started
There are two main ways to get TensorFlow.js in your JavaScript project:
via script tags or by installing it from NPM
and using a build tool like Parcel,
WebPack, or Rollup.
### via Script Tag
Add the following code to an HTML file:
```html
```
Open up that html file in your browser and the code should run!
### via NPM
Add TensorFlow.js to your project using yarn or npm. Note: Because
we use ES2017 syntax (such as `import`), this workflow assumes you are using a modern browser or a bundler/transpiler
to convert your code to something older browsers understand. See our
examples
to see how we use Parcel to build
our code. However you are free to use any build tool that you prefer.
```js
import * as tf from '@tensorflow/tfjs';
// Define a model for linear regression.
const model = tf.sequential();
model.add(tf.layers.dense({units: 1, inputShape: [1]}));
// Prepare the model for training: Specify the loss and the optimizer.
model.compile({loss: 'meanSquaredError', optimizer: 'sgd'});
// Generate some synthetic data for training.
const xs = tf.tensor2d([1, 2, 3, 4], [4, 1]);
const ys = tf.tensor2d([1, 3, 5, 7], [4, 1]);
// Train the model using the data.
model.fit(xs, ys).then(() => {
// Use the model to do inference on a data point the model hasn't seen before:
model.predict(tf.tensor2d([5], [1, 1])).print();
});
```
See our tutorials, examples
and documentation for more details.
## Importing pre-trained models
We support porting pre-trained models from:
- [TensorFlow SavedModel](https://github.com/tensorflow/tfjs-converter)
- [Keras](https://js.tensorflow.org/tutorials/import-keras.html)
## Find out more
[TensorFlow.js](https://js.tensorflow.org) is a part of the
[TensorFlow](https://www.tensorflow.org) ecosystem. For more info:
- [js.tensorflow.org](https://js.tensorflow.org)
- [Tutorials](https://js.tensorflow.org/tutorials)
- [API reference](https://js.tensorflow.org/api/latest/)
- [Help mailing list](https://groups.google.com/a/tensorflow.org/forum/#!forum/tfjs)