Difference between revisions of "TensorFlow.js"
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* [[Keras]] | * [[Keras]] | ||
* [[Brain.js]] | * [[Brain.js]] | ||
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* [http://github.com/tensorflow/tfjs/blob/master/GALLERY.md Gallery] a collection of TensorFlow.js projects, tutorials, videos, and more. | * [http://github.com/tensorflow/tfjs/blob/master/GALLERY.md Gallery] a collection of TensorFlow.js projects, tutorials, videos, and more. | ||
* [[Manifold - Uber]] | * [[Manifold - Uber]] | ||
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** [http://github.com/tensorflow/tfjs Tensorflow.js | GitHub] | ** [http://github.com/tensorflow/tfjs Tensorflow.js | GitHub] | ||
** [http://github.com/propelml/propel Propel.js - this uses tensorflow.js under the hood] | ** [http://github.com/propelml/propel Propel.js - this uses tensorflow.js under the hood] | ||
| − | ** [[ | + | ** [[ML5.js]] |
** [[Magenta]] | ** [[Magenta]] | ||
Revision as of 19:36, 7 August 2020
Youtube search... Google search...
- TensorFlow.js | TensorFlow.org
- Javascript
- TensorFlow
- Keras
- Brain.js
- Gallery a collection of TensorFlow.js projects, tutorials, videos, and more.
- Manifold - Uber
- JavaScript and machine learning: Google shows what's possible using the web programming language | Nick Heath - TechRepublic
- NLP Keras model in browser with TensorFlow.js | Mikhail Salnikov
- Drawing with Voice – Speech Recognition with TensorFlow.js | Rubik's Code
- An Introduction to TensorFlow.js with Nick Kreeger
- TensorFlow Playground written in Javascript (TypeScript) using d3.js
- Natural Language Tools & Services
- We’re making tools and resources available so that anyone can use technology to solve problems | Google AI
- Signing With Alexa: A DIY Experiment in AI Accessibility
- Friendly Machine Learning For The Web - A wrapper around TensorFlow.js | ml5js.org
- Tensorflow.js Tutorial and Tensorflow.js online example
- face-api.js — JavaScript API for Face Recognition in the Browser with tensorflow.js | Vincent Mühler
- A Gentle Introduction to TensorFlow.js | Zaid Alyafeai
- A sampling of available Machine Learning libaries with TensorFlow.js:
Tensorflow.js is a library built on deeplearn.js to create deep learning modules directly on the browser. Using that you can create CNNs, RNNs , etc … on the browser and train these modules using the client’s GPU processing power.
Contents
Deep Learning on a Smartphone Browser: Object Detection Using Tensorflow.js
Coding TensorFlow
Daniel Shiffman's Series
Color Classifier
P5.js
