TensorFlow.js - Bringing Machine Learning to the Web and Beyond

Explore the power of Machine Learning for JavaScript developers in this 20-minute JSConf talk. Discover the TensorFlow.js ecosystem and learn how to integrate existing ML models into your JS applications, as well as retrain models using your own data. Gain insights into efforts to expand ML capabilities beyond browsers to platforms like React Native, Raspberry Pi, and Electron. Watch live demonstrations of unique applications and delve into topics such as TensorFlow Playground, privacy considerations, library design, technical stack, and various web examples. Get a glimpse of the future of TensorFlow, including developments in data libraries, and understand how ML can revolutionize your web development projects.

Introduction
TensorFlow Playground
Privacy
TensorFlowjs
Designing the Library
The Technical Stack
Models
Web Examples
WeChat
JavaScript
NodeYes
Demo
Jetson Nano
TF GS Biz
Future of TensorFlow
Data Library
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