VGG16

VGG16 is a type of deep learning model designed to recognize objects in images. It works by processing images through multiple layers that analyze and extract features like edges, textures, and shapes. These layers progressively identify more complex patterns, enabling the model to classify what is in an image with high accuracy. VGG16 is known for its simple, uniform structure—using small 3x3 filters—which makes it effective and easier to understand. It’s widely used in computer vision applications, such as facial recognition, medical image analysis, and image search.