Awesome TensorFlow.js - A curated list of dedicated resources to master TensorFlow.js
TensorFlow.js is an open source software library to develop machine learning models in JavaScript, and use machine learning (training and inference) directly in the browser or Node.js.
This list is a collection of the best TensorFlow.js tools, resources, videos and shiny things.
Deep Learning with JavaScript - Learn to use TensorFlow.js to build deep learning models that run directly in the browser, master all the basics of deep learning and explore advanced concepts, like retraining existing models for transfer learning and image generation by Shanqing Cai, Stanley Bileschi, Eric D. Nielsen and Francois Chollet.
Hands-On Machine Learning with TensorFlow.js - A guide to building ML applications integrated with web technology using the TensorFlow.js library by Kai Sasaki.
Learning Tensorflow.js: Powerful Machine Learning in JavaScript - In this guide, author Gant Laborde provides a hands-on, end-to-end approach to TensorFlow.js fundamentals for a broad technical audience that includes data scientists, engineers, web developers, students, and researchers.
Practical TensorFlow.js - Deep Learning in Web App Development by Juan De Dios Santos Rivera.
Practical Machine Learning in JavaScript - TensorFlow.js for Web Developers by Charlie Gerard.
Your contributions are always welcome!
If you want to contribute to this list (please do), send me a pull request or contact me @aaronhma on Twitter Also, if you notice that any of the above listed repositories should be deprecated, due to any of the following reasons:
More info on the guidelines.
NOTE: In order to create an community that is welcome for all, ALL contributors MUST agree to the Code of Conduct.