From Pixels to Intelligence: How Convolution Rewired Computer Vision

CNNs revolutionized computer vision by automatically learning hierarchical features from raw pixels, eliminating the need for manual feature engineering that plagued earlier approaches. This guide's key insight is that practical training techniques—data augmentation, visualization debugging, and architectural choices like ResNet—matter more than sheer model size, making it essential reading for building robust production vision systems.