How CNNs Work — From Convolution Kernels to ResNet

CNNs changed computer vision because they stopped treating images like flat lists of numbers. An image has structure. Pixels near each other usually matter together. That is exactly what CNNs are built to capture. Core Idea A Convolutional Neural Network is designed for spatial data. Instead of looking at every pixel independently, it scans small regions with filters. Those filters learn useful patterns. Edges. Corners. Textures. Shapes. As layers get deeper, simple visual patterns become higher