cifar.torch

The code achieves 92.45% accuracy on CIFAR-10 just with horizontal reflections.

Data preprocessing:

th -i provider.lua

provider = Provider()
provider:normalize()
torch.save('provider.t7',provider)

Takes about 40 minutes and saves 1400 Mb file.

Training:

CUDA_VISIBLE_DEVICES=0 th train.lua --model vgg_bn_drop -s logs/vgg