Difference between revisions of "TensorFlow.js"
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** [http://beta.observablehq.com/@zaidalyafeai/an-intractive-introduction-to-tensorflow-js An Interactive Introduction to TensorFlow.js |] [http://medium.com/@alyafey22 Zaid Alyafeai] | ** [http://beta.observablehq.com/@zaidalyafeai/an-intractive-introduction-to-tensorflow-js An Interactive Introduction to TensorFlow.js |] [http://medium.com/@alyafey22 Zaid Alyafeai] | ||
** [http://github.com/zaidalyafeai/zaidalyafeai.github.io Implementation of web friendly ML models using TensorFlow.js |] [http://medium.com/@alyafey22 Zaid Alyafeai] | ** [http://github.com/zaidalyafeai/zaidalyafeai.github.io Implementation of web friendly ML models using TensorFlow.js |] [http://medium.com/@alyafey22 Zaid Alyafeai] | ||
| + | * [http://news.ycombinator.com/item?id=16718285 A sampling] of available Machine Learning libaries with TensorFlow.js: | ||
| + | ** [http://github.com/tensorflow/tfjs Tensorflow.js | GitHub] | ||
| + | ** [http://github.com/propelml/propel Propel.js - this uses tensorflow.js under the hood] | ||
| + | ** [[ml5 Library]] | ||
** [[Magenta]] | ** [[Magenta]] | ||
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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 21:48, 13 May 2019
Youtube search... Google search...
- TensorFlow.js | TensorFlow.org
- Javascript
- TensorFlow
- Keras
- 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
