Difference between revisions of "JavaScript"

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(A sampling of available Javascript Machine Learning libraries)
(A sampling of available Javascript Machine Learning libraries)
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* [http://github.com/NeuroJS Neuro.js] [http://janhuenermann.com/projects/learning-to-drive Learning to Drive project] a deep learning and reinforcement learning Javascript library framework for the browser. Implementing a full stack neural-network based machine learning framework with extended reinforcement-learning support
 
* [http://github.com/NeuroJS Neuro.js] [http://janhuenermann.com/projects/learning-to-drive Learning to Drive project] a deep learning and reinforcement learning Javascript library framework for the browser. Implementing a full stack neural-network based machine learning framework with extended reinforcement-learning support
 
* [http://tenso.rs/ TensorFire] is a framework for running neural networks in the browser, accelerated by [http://get.webgl.org/ WebGL]
 
* [http://tenso.rs/ TensorFire] is a framework for running neural networks in the browser, accelerated by [http://get.webgl.org/ WebGL]
* [http://github.com/karpathy/convnetjs Conventjs] (not maintained)] neural networks supporting common modules, classification, [[Regression]], an experimental Reinforcement Learning module, able to train convolutional networks that process images
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* [http://github.com/karpathy/convnetjs Conventjs] (not maintained)] neural networks supporting common modules, classification, [[Regression]], an experimental Reinforcement Learning module, able to train [[(Deep) Convolutional Neural Network (DCNN/CNN)]] that process images
 
* [[ConvNetJS]] an NPM version is also available for those using [http://nodejs.org/en/ Node.js], and the library is designed to make proper use of Javascript’s asynchronicity.
 
* [[ConvNetJS]] an NPM version is also available for those using [http://nodejs.org/en/ Node.js], and the library is designed to make proper use of Javascript’s asynchronicity.
 
* [http://github.com/mljs/ml mljs] includes supervised and unsupervised learning, artificial neural networks, [[Regression]] algorithms and supporting libraries for statistics, math etc.
 
* [http://github.com/mljs/ml mljs] includes supervised and unsupervised learning, artificial neural networks, [[Regression]] algorithms and supporting libraries for statistics, math etc.

Revision as of 09:12, 29 March 2020

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A sampling of available Javascript Machine Learning libraries

Graphics

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Demos

Node.js

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React

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