h0rton.models.bayesian_resnet
¶
Module Contents¶
Functions¶
resnet34 (progress=True, **kwargs) |
ResNet-34 model from |
resnet50 (progress=True, **kwargs) |
ResNet-50 model from |
resnet101 (progress=True, **kwargs) |
ResNet-101 model from |
resnet44 (progress=True, **kwargs) |
ResNet-34 model from |
resnet56 (progress=True, **kwargs) |
ResNet-34 model from |
-
h0rton.models.bayesian_resnet.
resnet34
(progress=True, **kwargs)[source]¶ ResNet-34 model from “Deep Residual Learning for Image Recognition”
- Args:
- pretrained (bool): If True, returns a model pre-trained on ImageNet progress (bool): If True, displays a progress bar of the download to stderr
-
h0rton.models.bayesian_resnet.
resnet50
(progress=True, **kwargs)[source]¶ ResNet-50 model from “Deep Residual Learning for Image Recognition”
- Args:
- pretrained (bool): If True, returns a model pre-trained on ImageNet progress (bool): If True, displays a progress bar of the download to stderr
-
h0rton.models.bayesian_resnet.
resnet101
(progress=True, **kwargs)[source]¶ ResNet-101 model from “Deep Residual Learning for Image Recognition”
- Args:
- pretrained (bool): If True, returns a model pre-trained on ImageNet progress (bool): If True, displays a progress bar of the download to stderr
-
h0rton.models.bayesian_resnet.
resnet44
(progress=True, **kwargs)[source]¶ ResNet-34 model from “Deep Residual Learning for Image Recognition”
- Args:
- progress (bool): If True, displays a progress bar of the download to stderr
-
h0rton.models.bayesian_resnet.
resnet56
(progress=True, **kwargs)[source]¶ ResNet-34 model from “Deep Residual Learning for Image Recognition”
- Args:
- progress (bool): If True, displays a progress bar of the download to stderr