Machine Learning Principles, with JavaScript?
summary
Demonstrates end-to-end machine learning workflows implemented in JavaScript using TensorFlow.js in both browser and Node: importing prebuilt models, fine-tuning by feeding images or words, and reporting confidence/accuracy. Includes live demos—a webcam-trained vehicle vs airplane image classifier and an iteratively updated pronunciation model for words with 'o'—and highlights practical, modest applications rather than claiming expert-level results.
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chapters (9)
- 0:00JavaScript and ML intro
- 2:36JavaScript 25-year evolution
- 6:10Machine learning basics
- 9:04Human vs computational learning
- 13:21Practical ML exercise
- 23:01JavaScript ML libraries
- 27:19What is a tensor?
- 31:31TensorFlow.js trained models
- 35:44ML applications and challenges
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