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