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github.com/BlackHC/BatchBALD
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Functions
305 in github.com/BlackHC/BatchBALD
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Functions
305
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Types & classes
28
Function
vgg16
VGG 16-layer model (configuration "D") Args: pretrained (bool): If True, returns a model pre-trained on ImageNet progress (bool):
src/vgg_model.py:164
Function
vgg16_bn
VGG 16-layer model (configuration "D") with batch normalization Args: pretrained (bool): If True, returns a model pre-trained on ImageNet
src/vgg_model.py:173
Function
vgg16_cinic10_bn
VGG 16-layer model (configuration "D") with batch normalization Inspired by: https://github.com/geifmany/cifar-vgg/blob/master/cifar100vgg.py to
src/vgg_model.py:182
Function
vgg19
VGG 19-layer model (configuration "E") Args: pretrained (bool): If True, returns a model pre-trained on ImageNet progress (bool):
src/vgg_model.py:205
Function
vgg19_bn
VGG 19-layer model (configuration 'E') with batch normalization Args: pretrained (bool): If True, returns a model pre-trained on ImageNet
src/vgg_model.py:214
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