This video covers the architecture of a Convolutional Neural Network, focusing on the concept of "filters".
Academic article abut MobileNets.
This tutorial builds on ml5.neuralNetwork() videos examining raw pixels as inputs to a neural network. This sets the stage for a discussion on convolutional neural networks.
In this video, I use the "pre-trained" MobileNet model to classify the content of an image.
This playlist accompanies Chapter 10 of The Nature of Code book.
This video looks at how to access the pixels of an HTML5 canvas in p5.js. Code.
- Editing
by Mathieu Blanchette
- Animations
by Jason Heglund