Convolutional Neural Networks with ML5.js

Dive into a comprehensive 3-hour video tutorial on Convolutional Neural Networks (CNNs) using ml5.js. Learn the fundamentals of CNNs, set up your development environment, and explore the core concepts through hands-on coding sessions. Implement convolution algorithms, max pooling techniques, and understand various CNN architectures. Follow along as the instructor guides you through practical examples, offering insights and explanations throughout the process. By the end of this in-depth tutorial, gain a solid understanding of CNNs and their implementation using ml5.js, equipping you with valuable skills for machine learning and computer vision projects.

Syllabus

Live Stream Starts.
Introduction.
Setting Up.
Convolutional Neural Network.
Code! Convolution Algorithm.
Audible.
Short Break.
Returning From Break.
Code! Convolution Max Pooling.
Code! Convolutional Neural Network Architectures.
Conclusions and Goodbyes.