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...

performance on ImageNet. In this line of research are GoogLeNet (2014), VGGNet (2014), Highway network (2015), and ResNet (2015). Another direction aimed...

should not result in a higher training loss, but this is what happened with VGGNet. If the extra layers can be set as identity mappings, however, then the...

suppressed by adding the total variation to the total loss. Compared to VGGNet, AlexNet does not work well for neural style transfer. NST has also been...

for classification was GoogLeNet. The winning entry for localization was VGGNet. In 2017, 29 of 38 competing teams had greater than 95% accuracy. In 2017...