# keras-js

**Repository Path**: studvc/keras-js

## Basic Information

- **Project Name**: keras-js
- **Description**: Run Keras models in the browser, with GPU support using WebGL
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-01-05
- **Last Updated**: 2021-01-05

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

<p align="center">
  <strong>**This project is no longer active. Please check out <a href="http://js.tensorflow.org">TensorFlow.js</a>.**<br/>The <a href="https://transcranial.github.io/keras-js">Keras.js demos</a> still work but is no longer updated.</strong>
</p>

<p align="center">
  <a href="https://transcranial.github.io/keras-js">
    <img src="https://cdn.rawgit.com/transcranial/keras-js/73aa4cca/assets/logo.svg" width="300px" />
  </a>
</p>

<p align="center">
  <strong>Run Keras models in the browser, with GPU support using WebGL</strong>
</p>

<div align="center">
  <h3>
    <a href="https://transcranial.github.io/keras-js">Interactive Demos</a>
    <span> | </span>
    <a href="https://transcranial.github.io/keras-js-docs">Documentation</a>
  </h3>
</div>

<br/>

---

Run [Keras](https://github.com/keras-team/keras) models in the browser, with GPU support provided by WebGL 2. Models can be run in Node.js as well, but only in CPU mode. Because Keras abstracts away a number of frameworks as backends, the models can be trained in any backend, including TensorFlow, CNTK, etc.

Library version compatibility: Keras 2.1.2

## [Interactive Demos](https://transcranial.github.io/keras-js)

<p align="center">
  <a href="https://transcranial.github.io/keras-js"><img src="demos/assets/mnist-cnn.png" height="120" width="auto" /></a>
  <a href="https://transcranial.github.io/keras-js"><img src="demos/assets/resnet50.png" height="120" width="auto" /></a>
  <a href="https://transcranial.github.io/keras-js"><img src="demos/assets/inception-v3.png" height="120" width="auto" /></a>
  <a href="https://transcranial.github.io/keras-js"><img src="demos/assets/imdb-bidirectional-lstm.png" height="120" width="auto" /></a>
</p>

Check out the `demos/` directory for real examples running Keras.js in VueJS.

- Basic Convnet for MNIST
- Convolutional Variational Autoencoder, trained on MNIST
- Auxiliary Classifier Generative Adversarial Networks (AC-GAN) on MNIST
- 50-layer Residual Network, trained on ImageNet
- Inception v3, trained on ImageNet
- DenseNet-121, trained on ImageNet
- SqueezeNet v1.1, trained on ImageNet
- Bidirectional LSTM for IMDB sentiment classification

## [Documentation](https://transcranial.github.io/keras-js-docs)

[MIT License](https://github.com/transcranial/keras-js/blob/master/LICENSE)