Hands-On Deep Learning Algorithms with Python

Architecture of VGGNet

VGGNet is one of the most popularly used CNN architectures. It was invented by the Visual Geometry Group (VGG) at the University of Oxford. It started to get very popular when it became the first runner-up of ILSVRC 2014.

It is basically a deep convolutional network and is widely used for object-detection tasks. The weights and structure of the network are made available to the public by the Oxford team, so we can use these weights directly to carry out several computer vision tasks. It is also widely used as a good baseline feature extractor for images.

The architecture of the VGG network is very simple. It consists of convolutional layers followed by a pooling layer. It uses 3 x 3 convolution and 2 x 2 pooling throughout ...