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liuzhuang13 / DenseNet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
BSD 3-Clause "New" or "Revised" License
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results on cifar100 #48

Open apeterswu opened 6 years ago

apeterswu commented 6 years ago

Hi,

Thanks for the great work and released code. I have tried to run several times on cifar100+ with the DenseNet-BC (L=190, k=40), but it's hard to reproduce the result 17.18. My training script looks like this, simply replace the dataset to be cifar100 and without the efficient setting: python demo.py --depth 190 --growth_rate 40 --save ckpts --batch_size 64 --valid_size 0 The best result I got is about 17.3x, did you think this result is also acceptable or did I miss anything? Thanks a lot.

liuzhuang13 commented 6 years ago

I think that is totally acceptable, sometimes the variance on CIFAR-100 can be even up to 1% (when error around ~25% ).