This repository contains a PyTorch implementation of the paper Densely Connected Convolutional Networks trained on the MNIST dataset. The code is based on this excellent PyTorch example for training DenseNet.(https://github.com/pytorch/vision/blob/master/torchvision/models/densenet.py)
-
Notifications
You must be signed in to change notification settings - Fork 8
This repository contains a PyTorch implementation of the paper Densely Connected Convolutional Networks trained on the MNIST dataset. The code is based on this excellent PyTorch example for training DenseNet.(https://github.com/pytorch/vision/blob/master/torchvision/models/densenet.py)
vincent6606/DenseNet
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
This repository contains a PyTorch implementation of the paper Densely Connected Convolutional Networks trained on the MNIST dataset. The code is based on this excellent PyTorch example for training DenseNet.(https://github.com/pytorch/vision/blob/master/torchvision/models/densenet.py)
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published