Pretrained weight tags for lucid.models.wide_resnet_50_cls.
Wide ResNet-50-2 (Zagoruyko & Komodakis, "Wide Residual Networks", BMVC 2016).
Attributes
IMAGENET1K_V1WeightEntryImageNet-1k V1 checkpoint (top-1 78.468% / top-5 94.086%),
sourced from
torchvision/Wide_ResNet50_2_Weights.IMAGENET1K_V1.DEFAULTWeightEntryAlias for
IMAGENET1K_V1.Notes
Reference: Zagoruyko, Komodakis, "Wide Residual Networks", BMVC 2016 (arXiv:1605.07146).
Examples
>>> from lucid.models import wide_resnet_50_cls
>>> model = wide_resnet_50_cls(pretrained=True).eval()