VGGNet
id:
vggnet-204-3588727
title:
VGGNet
text:
The VGGNets are a series of convolutional neural networks (CNNs) developed by the Visual Geometry Group (VGG) at the University of Oxford. The VGG family includes various configurations with different depths, denoted by the letter "VGG" followed by the number of weight layers. The most common ones are VGG-16 and VGG-19. The VGG family were widely applied in various computer vision areas. An ensemble model of VGGNets achieved state-of-the-art results in the ImageNet Large Scale Visual Recognition
brand slug:
wiki
category slug:
encyclopedia
description:
Series of convolutional neural networks for image classification
original url:
https://en.wikipedia.org/wiki/VGGNet
date created:
2024-09-06T02:00:27Z
date modified:
2024-09-09T20:53:27Z
main entity:
image:
{"content_url":"https://upload.wikimedia.org/wikipedia/commons/0/00/VGG_module_architecture.svg","width":564,"height":489}
fields total:
13
integrity:
15