TensorFlow.js Full-Stack Machine Learning
summary
Introduces Machine Learning and TensorFlow, explaining that TensorFlow.js lets developers train and run models in JavaScript both in the browser (client) and on the server. Presents examples of using TensorFlow.js in applications so attendees can start building ML features with familiar JS tooling.
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chapters (12)
- 0:00Introduction
- 3:56TensorFlow.js evolution
- 6:00Key TF concepts
- 12:42Node.js example
- 25:08Live model demo
- 28:11Browser camera use
- 33:29App model integration
- 36:44Q&A
- 38:29ML learning skills
- 40:14ML libraries comparison
- 41:38Deep-dive resources
- 42:00Sources and community
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