Overview
Dive into image classification using ml5.js 1.0 in this comprehensive 32-minute video tutorial by Coding Train. Learn to implement both the default MobileNet model and train your own classifier using transfer learning and Teachable Machine. Explore the fundamentals of MobileNet and ImageNet, then progress to hands-on coding with the ml5.js Classifier. Discover how to incorporate live video for real-time image classification and create your own custom model. Access multiple p5.js Web Editor sketches to practice image classification techniques, including webcam integration, drag-and-drop functionality, and displaying labels with confidence scores. Gain valuable insights into machine learning for visual applications and expand your skills in JavaScript-based image recognition.
Syllabus
Introduction
What is MobileNet?
What is ImageNet?
ml5.js Classifier Code!
Incorporating Live Video
Training your own model
Taught by
The Coding Train