Pretrained weights for the 0.8M parameters config

[nader93k]

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.

[liuzhuang13]

Hi,

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