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Overview of VGG-Net Architecture by BENAZIR AE is a document available to read on EtoBox.

What is Overview of VGG-Net Architecture about?

VGG-Net, developed by the Visual Geometry Group at Oxford University, is a deep Convolutional Neural Network (CNN) architecture known for its multiple layers, specifically VGG-16 and VGG-19, which contain 16 and 19 convolutional layers respectively. The architecture utilizes small 3x3 convolutional filters and has achieved high accuracy in image recognition tasks, outperforming earlier models like AlexNet. However, it is noted for being slow to train and having a large number of parameters, which can lead t

Author

BENAZIR AE

Language

EN