transcranial/keras-js


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

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

License: MIT

Language: JavaScript

Keywords: deep-learning, javascript, keras, machine-learning, neural-networks, tensorflow, webgl


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



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

Project Statistics

Sourcerank 12
Repository Size 17.1 MB
Stars 4,007
Forks 386
Watchers 170
Open issues 68
Dependencies 44
Contributors 11
Tags 4
Created
Last updated
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Top Contributors See all

Leon Chen Jeff Friesen tevcef Andrew Murray Mike Clark Steffen Kaiser Matthew Dangerfield Jesse Hu LboAnn Zafarali Ahmed Dan Bikle

Packages Referencing this Repo

keras-js
Run Keras models in the browser, with GPU support using WebGL
Latest release 1.0.3 - Updated - 4.01K stars

Recent Tags See all

v0.3.0 May 20, 2017
v0.2.0 May 19, 2017
v0.1.0 February 23, 2017
v0.0.1 October 01, 2016

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