VGG Network

The VGG Network is a type of deep learning model used for image recognition. It mimics how the human visual system processes images by using multiple stacked layers of small filters that detect simple features like edges and textures. As data moves through these layers, the model combines these features to recognize complex patterns, such as objects or faces. Its simple, uniform architecture—primarily using 3x3 filters—makes it effective and easier to train. Overall, VGG helps computers understand images with high accuracy by learning hierarchical features from basic details to complex structures.