Popularity
6.3
Declining
Activity
0.0
Stable
4,715
185
511

Description

Run trained Keras models in your browser, GPU-powered using WebGL. Models are serialized directly from the Keras JSON-format configuration file and associated HDF5 weights.

Programming language: Jupyter Notebook
Tags: Machine Learning     Keras     MNIST     ImageNet    
Latest version: v0.3.0

Keras.js alternatives and similar libraries

Based on the "Machine Learning" category

Do you think we are missing an alternative of Keras.js or a related project?

Add another 'Machine Learning' Library

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This project is no longer active. Please check out TensorFlow.js.The Keras.js demos still work but is no longer updated.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


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


*Note that all licence references and agreements mentioned in the Keras.js README section above are relevant to that project's source code only.