NVIDIA Deep Learning Examples
ResNet50 v1.5 for MXNet
Resource
NVIDIA Deep Learning Examples
ResNet50 v1.5 for MXNet

With modified architecture and initialization this ResNet50 version gives ~0.5% better accuracy than original.

Changelog

  1. Dec, 2018
  1. June, 2019
  • Code refactor
  • Label smoothing
  • Cosine LR schedule
  • MixUp regularization
  • Better configurations
  1. February, 2021
  • DGX-A100 performance results
  • Container version upgraded to 20.12
  1. December, 2022
  • Container version upgraded to 22.10
  • Updated the A100 performance results. V100 and T4 performance results reflect the performance using the 20.12 container

Known Issues

There are no known issues with this model.

NVIDIA uses cookies to improve your experience on our web site. We and our third-party partners also use cookies and other tools to collect and record information you provide as well as information about your interactions with our websites for performance improvement, analytics, and to assist in marketing efforts. By clicking "Accept All", you consent to our use of cookies and other tools as described in our Cookie Policy. You can manage your cookie settings by clicking on "Manage Settings." By continuing to use this site or by clicking one of the buttons below, you agree to our Terms of Service (which contains important waivers). Please see our Privacy Policy for more information on our privacy practices.