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Video course · 14 chapters · 54 min · certificate

Machine Learning in JavaScript with ml5.js

Machine learning in the browser with ml5.js: ML fundamentals, Teachable Machine and the TensorFlow.js file structure, a rock-paper-scissors game, pre-trained MobileNet image recognition, transfer learning and a mini Teachable Machine clone, a custom student-score prediction model and Kaggle data.

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What you'll learn

  • Explain ML fundamentals for JavaScript devs
  • Use Teachable Machine models in ml5.js
  • Recognise images with pre-trained MobileNet
  • Apply transfer learning
  • Train a custom regression model
  • Use Kaggle datasets and save models

Chapters

14 chapters · 54:04
  1. 1:43 01Intro Members Introduction Accessible ML.
  2. 1:01 02Setup Members Prerequisites Clone the repo.
  3. 6:10 03Fundamentals Members Beginner guide to ML Data, training, models.
  4. 4:09 04Teachable Members Teachable Machine and TF.js files No-code training.
  5. 6:06 05Project Members Rock, paper, scissors First project.
  6. 1:24 06Pretrained Members Pre-trained models No own data needed.
  7. 3:30 07MobileNet Members MobileNet image recognition Classify images.
  8. 3:28 08Transfer Members Transfer learning A language analogy.
  9. 7:35 09Clone Members Mini Teachable Machine clone Build your own.
  10. 1:44 10Misconceptions Members Transfer learning misconceptions Limits.
  11. 1:28 11Custom Members Custom model demo Student scores.
  12. 9:16 12Project Members Student score project Build it.
  13. 5:29 13Kaggle Members Kaggle data and saving models Real datasets.
  14. 1:01 14Wrap-up Members Closing Core components.

Jobs this course suits

Our AI checked this course against 500 jobs; these get the most out of it. Each job links to its learning path.

Web Developers