Pretrained weights for lucid.models.vgg_13_cls.
VGG-B 13-layer config (133.0 M params, 11.3 GFLOPs, top-1 69.93%).
Attributes
IMAGENET1K_V1WeightEntryImageNet-1k V1 checkpoint (top-1 69.928% / top-5 89.246%),
sourced from
torchvision/VGG13_Weights.IMAGENET1K_V1.DEFAULTWeightEntryAlias for
IMAGENET1K_V1.Notes
Reference: Simonyan, Zisserman, "Very Deep Convolutional Networks for Large-Scale Image Recognition", ICLR 2015 (arXiv:1409.1556).
Examples
>>> from lucid.models import vgg_13_cls
>>> model = vgg_13_cls(pretrained=True).eval()