Some experiments to maximize the accuracy of image classification or the efficiency of training on CIFAR. Including ResNet, One Cycle Learning Rate, Cutout, etc. Details can be found in Report.pdf.
-
Notifications
You must be signed in to change notification settings - Fork 0
jiseshen/CNN-experiments-on-CIFAR10
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
Some experiments to maximize the accuracy of image classification or the efficiency of training on CIFAR. Including ResNet, One Cycle Learning Rate, Cutout, etc.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published