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https://github.com/transcranial/keras-js

Run Keras models in the browser, with GPU support using WebGL
https://github.com/transcranial/keras-js

deep-learning javascript keras machine-learning neural-networks tensorflow webgl

Last synced: 24 days ago
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Run Keras models in the browser, with GPU support using WebGL

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README 

        


  **This project is no longer active. Please check out TensorFlow.js.**
The Keras.js demos still work but is no longer updated.






  

    

  






  Run Keras models in the browser, with GPU support using WebGL






  


    Interactive Demos

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    Documentation

  









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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)





  

  

  

  




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)