Pretrained weights for lucid.models.googlenet_cls.
Single ImageNet-1k checkpoint converted from reference_vision's
GoogLeNet_Weights.IMAGENET1K_V1 (Szegedy et al., 2015; ~13.0M
params with auxiliary heads, 69.778% top-1).
Examples
>>> from lucid.models.vision.googlenet._weights import GoogLeNetWeights
>>> list(GoogLeNetWeights.__members__)
['IMAGENET1K_V1', 'DEFAULT']
DEFAULT is an alias rather than a fourth entry, so a bare
pretrained=True and the tag it resolves to cannot drift apart.
>>> GoogLeNetWeights.DEFAULT is GoogLeNetWeights.IMAGENET1K_V1
True
>>> GoogLeNetWeights.IMAGENET1K_V1.num_classes
1000