Coming up with a modified residual network (ResNet) architecture with the highest test accuracy on the CIFAR-10 image classification dataset, under the constraint that your model has no more than 5 million parameters in it altogether
-
Notifications
You must be signed in to change notification settings - Fork 0
Coming up with a modified residual network (ResNet) architecture with the highest test accuracy on the CIFAR-10 image classification dataset, under the constraint that your model has no more than 5 million parameters in it altogether
KarthikVV24-11-1999/Parameter-capped-ResNet-Optimal-for-CIFAR-10
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
Coming up with a modified residual network (ResNet) architecture with the highest test accuracy on the CIFAR-10 image classification dataset, under the constraint that your model has no more than 5 million parameters in it altogether
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published