This is the PyTorch implementation of VGG network trained on CIFAR10 dataset

[PyTorch] (https://github.com/pytorch/pytorch)

[torchvision] (https://github.com/pytorch/vision)

The trained VGG model. 92.4% Accuracy VGG

wget https://www.cs.unc.edu/~cyfu/cifar10/model_best.pth.tar
python main.py --resume=./model_best.pth.tar -e

./run.sh 

Using the run.sh script to generate the training log and models of different versions of VGG in 16-bit or 32-bit precision. Then use the ipython notebook plot.ipynb to view the results.