VGGNet

VGGNet is a deep convolutional neural network architecture developed by the Visual Geometry Group (VGG) at the University of Oxford. It was introduced in 2014 and is known for its simplicity and effectiveness in image classification tasks. Team members include Karen Simonyan and Andrew Zisserman. The architecture

Link: Link to the original paper