Difference between revisions of "TensorFlow.js"
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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 Library]] |
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. | 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. | ||
Revision as of 16:25, 31 March 2019
Youtube search... Google search...
- TensorFlow.js | TensorFlow.org
- Javascript
- TensorFlow
- Keras
- TensorFlow Playground written in Javascript (TypeScript) using d3.js
- 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
Daniel Shiffman's Series
Color Classifier
P5.js
