Achieved 89% test accuracy without external data.
Plus additional notebook implementing transfer learning on pretrained VGG16 model on ImageNet-1K dataset, achieved 93% test accuracy.
-
Notifications
You must be signed in to change notification settings - Fork 0
HeyLongHoang/VGG16_CIFAR-10_pytorch
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Pytorch implementation of VGG16 on CIFAR-10 | 90% accuracy
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published