ML at the Heart of JS
summary
Shows how to build an intelligent progressive web app using TensorFlow.js, explaining how to create and train machine learning models directly in the browser. Focuses on using JavaScript and TensorFlow.js to add ML capabilities to web applications.
AI-written summary · about
chapters (7)
- 0:00Introduction
- 7:09Why ML in browser
- 9:20TensorFlow.js overview
- 11:30Dating app demo
- 27:13Key ML steps in JS
- 27:34Production use cases
- 30:23Q&A
related talks
23mThe new era of ML in JavaScript
46mMachine learning in the browser using TensorFlow.js
19mML at Client Side
46mArtificial Intelligence with JavaScript
28mMachine Learning on the web with TensorFlow.js
10mTensorflow in Action
15mThe future of machine learning using JavaScript
44mTensorFlow.js Full-Stack Machine Learning
