Pretrained weight tags for lucid.models.resnet_101_cls.
101-layer bottleneck ResNet (44.5 M params, top-1 77.37% / top-5 93.55%).
Attributes
IMAGENET1K_V1WeightEntryImageNet-1k V1 checkpoint (top-1 77.374% / top-5 93.546%),
sourced from
torchvision/ResNet101_Weights.IMAGENET1K_V1.DEFAULTWeightEntryAlias for
IMAGENET1K_V1.Notes
Reference: He, Zhang, Ren, Sun, "Deep Residual Learning for Image Recognition", CVPR 2016 (arXiv:1512.03385).
Examples
>>> from lucid.models import resnet_101_cls
>>> model = resnet_101_cls(pretrained=True).eval()