Run 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

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

MIT License