AI's Eyes: Seeing the World with CNNs

Convolutional Neural Networks for Vision

When you see a cat, you don't analyze individual features like pointy ears, whiskers, and eye shape separately. You see the whole cat. A Convolutional Neural Network (CNN) does something similar for computers. It finds basic patterns like curves and edges first, then combines them to recognize more complex parts like a nose or a paw, and finally assembles those into a whole object, building a hierarchy of understanding.

Real-World Example

Self-driving cars use CNNs to see and identify pedestrians, stop signs, lane markings, and other vehicles using the input from their cameras.