resnet_200_cls(pretrained: bool = False, overrides: object = {})ResNet-200 image classifier (backbone + GAP + linear head).
Builds a ResNetForImageClassification with the deep
bottleneck topology [3, 24, 36, 3] from He et al., "Identity
Mappings in Deep Residual Networks", ECCV 2016 (arXiv:1603.05027).
Approximately 64.7M parameters.
Model Size
Parameters
pretrainedbool= FalseReserved for future pretrained-weight loading. Currently
ignored.
**overridesobject= {}Keyword overrides forwarded into
ResNetConfig.Returns
ResNetForImageClassificationClassifier with the ResNet-200 configuration applied (or with
overrides merged on top of it).
Examples
>>> import lucid
>>> from lucid.models.vision.resnet import resnet_200_cls
>>> model = resnet_200_cls()
>>> x = lucid.randn(1, 3, 224, 224)
>>> out = model(x)
>>> out.logits.shape
(1, 1000)