Pretrained weights for lucid.models.inception_resnet_v2_cls.
Szegedy et al. AAAI 2017 (55.8 M params, top-1 80.46%).
Attributes
TF_IN1KWeightEntryTensorFlow-Slim ImageNet-1k checkpoint (top-1 80.46% / top-5
95.31%), sourced from
timm/inception_resnet_v2.tf_in1k.DEFAULTWeightEntryAlias for
TF_IN1K.Notes
Reference: Szegedy, Ioffe, Vanhoucke, Alemi, "Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning", AAAI 2017 (arXiv:1602.07261).
Examples
>>> from lucid.models import inception_resnet_v2_cls
>>> model = inception_resnet_v2_cls(pretrained=True).eval()