Improve Research Reproducibility A Bio-protocol resource
Concise Method
tooltip

VGG

GZ Georg Zdolsek
YC Yupei Chen
HB Hans-Peter Bögl
CW Chunliang Wang
MW Mischa Woisetschläger
JS Jörg Schilcher
request Request a Protocol
ask Ask a question
Favorite

VGG (Visual Geometry Group) is a classic convolutional neural network (CNN) that consists of stacked convolutional layers, pooling layers, and fully connected layers (Simonyan aand Zisserman 2014), connected sequentially. These layers are the building blocks found commonly in modern CNNs. In the ILSVRC 2014 challenge, VGG was ranked in 2nd place (after the Inception network) for the image classification task and in 1st place for the localization task. We used the 19-layer model due to its high performance.

Copyright and License information:  ©2021 The Author(s). Published by Taylor & Francis on behalf of the Nordic Orthopedic Federation.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Do you have any questions about this protocol?

Post your question to gather feedback from the community. We will also invite the authors of this article to respond.

0/150

tip Tips for asking effective questions

+ Description

Write a detailed description. Include all information that will help others answer your question including experimental processes, conditions, and relevant images.

post Post a Question
0 Q&A