How Neural Networks Recognize Cats: From Simple Classifiers to Complex Models

Teaching a computer to recognize a cat in a photo isn't straightforward. However, neural networks now easily accomplish this by learning from millions or billions of examples. This article uses cat photo recognition as an example to explain the basic principles of neural networks: building a simple classifier that uses mathematical functions (neurons) to process input data and ultimately find the optimal boundary to distinguish between categories. The article explains the workings of neural networks in an accessible way, understandable even without a programming background.