Pretrained weight tags for lucid.models.resnet_34_cls.
34-layer basic-block ResNet (21.8 M params, top-1 73.31% / top-5 91.42%).
Attributes
IMAGENET1K_V1WeightEntryImageNet-1k V1 checkpoint (top-1 73.314% / top-5 91.420%),
sourced from
torchvision/ResNet34_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_34_cls
>>> model = resnet_34_cls(pretrained=True).eval()