Pretrained weights for lucid.models.densenet_201_cls.
201-layer DenseNet (growth-rate 32, 20.0 M params, top-1 76.90%).
Attributes
IMAGENET1K_V1WeightEntryImageNet-1k V1 checkpoint (top-1 76.896% / top-5 93.370%),
sourced from
torchvision/DenseNet201_Weights.IMAGENET1K_V1.DEFAULTWeightEntryAlias for
IMAGENET1K_V1.Notes
Reference: Huang, Liu, van der Maaten, Weinberger, "Densely Connected Convolutional Networks", CVPR 2017 (arXiv:1608.06993).
Examples
>>> from lucid.models import densenet_201_cls
>>> model = densenet_201_cls(pretrained=True).eval()