Skip to content

A tutorial on Residual Networks which was originally proposed by Kaiming He, Xiangyu Zhang, Shaoqing Ren and Jian Sun from Microsoft Research Team.

Notifications You must be signed in to change notification settings

sleebapaul/res_nets_tutorial

Repository files navigation

A tutorial on Residual Networks which was originally proposed by Kaiming He, Xiangyu Zhang, Shaoqing Ren and Jian Sun from Microsoft Research Team.

ResNets achieved 1st places in all five main tracks,

  • ImageNet Classification: “Ultra-deep” 152-layer nets
  • ImageNet Detection: 16% better than 2nd
  • ImageNet Localization: 27% better than 2nd
  • COCO Detection: 11% better than 2nd
  • COCO Segmentation: 12% better than 2nd

The will be a programming tutorial on ResNets with Keras which is added as another Jupyter Notebook in this repo. Original paper is also added.

Happy Learning :)

About

A tutorial on Residual Networks which was originally proposed by Kaiming He, Xiangyu Zhang, Shaoqing Ren and Jian Sun from Microsoft Research Team.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published