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Pretrained weights for the 0.8M parameters config

Open nader93k opened this issue 6 years ago • 1 comments

Hi, could you please upload weights for imageNet for DenseNet-BC(L=100, k=12) which has only 0.8M parameters? It is compact and when we expand the network for the task of semantic segmentation, this really helps for controlling the number of parameters.

If you know any other resources for finding weights for this config, I would be grateful if you let me know.

nader93k avatar Aug 28 '18 14:08 nader93k

Hi,

The 0.8M model is only for CIFAR dataset... All ImageNet models are all available at readme page.

liuzhuang13 avatar Aug 28 '18 21:08 liuzhuang13