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

Interactive Demos | Documentation

--- 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)