If you’ve ever wondered how machines are able to “see” things in images or videos, then Convolutional Neural Networks (CNNs) are one of the key technologies behind that magic. CNNs have become the backbone of many modern computer vision tasks, from identifying objects in images to powering facial recognition software. In this Codects installment, I’ll explain the inner workings of CNNs, their structure, how they process images, and the mathematics behind them.