Pretrained weights for lucid.models.vgg_11_cls.
VGG-A 11-layer config (132.9 M params, 7.6 GFLOPs, top-1 69.02%).
Attributes
IMAGENET1K_V1WeightEntryImageNet-1k V1 checkpoint (top-1 69.020% / top-5 88.628%),
sourced from
torchvision/VGG11_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_11_cls
>>> model = vgg_11_cls(pretrained=True).eval()