Difference between revisions of "TensorFlow.js"
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* [[NLP Keras model in browser with TensorFlow.js]] | Mikhail Salnikov | * [[NLP Keras model in browser with TensorFlow.js]] | Mikhail Salnikov | ||
* [http://rubikscode.net/2019/04/01/drawing-with-voice-speech-recognition-with-tensorflow-js/ Drawing with Voice – Speech Recognition with TensorFlow.js | Rubik's Code] | * [http://rubikscode.net/2019/04/01/drawing-with-voice-speech-recognition-with-tensorflow-js/ Drawing with Voice – Speech Recognition with TensorFlow.js | Rubik's Code] | ||
| + | * [http://www.techleer.com/articles/553-an-introduction-to-tensorflowjs-with-nick-kreeger/ An Introduction to TensorFlow.js with Nick Kreeger] | ||
* [http://playground.tensorflow.org TensorFlow Playground written in Javascript] (TypeScript) using d3.js | * [http://playground.tensorflow.org TensorFlow Playground written in Javascript] (TypeScript) using d3.js | ||
* [[Natural Language Tools & Services]] | * [[Natural Language Tools & Services]] | ||
Revision as of 19:55, 28 April 2019
Youtube search... Google search...
- TensorFlow.js | TensorFlow.org
- Javascript
- TensorFlow
- Keras
- 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
