In this subchapter, we'll dive into the depths of convolutional neural networks, the unsung heroes of computer vision. ConvNets are all about feature extraction, folks! They're like master thieves, snatching up all the juicy visual features from your data and leaving the useless junk behind.
Let's say you're a fashion designer, and you want to build a system that can predict whether a dress looks like it was made of neon-colored polka dots or not. Sounds absurd, I know. But hear us out. You'd train a ConvNet on a dataset of images, and it'll figure out what makes a polka dot dress, well, a polka dot dress.
Learn more about ConvNets in the wild