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github.com/HobbitLong/RepDistiller
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Functions
213 in github.com/HobbitLong/RepDistiller
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Functions
213
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Types & classes
58
Function
vgg11
VGG 11-layer model (configuration "A") Args: pretrained (bool): If True, returns a model pre-trained on ImageNet
models/vgg.py:161
Function
vgg11_bn
VGG 11-layer model (configuration "A") with batch normalization
models/vgg.py:170
Function
vgg13
VGG 13-layer model (configuration "B") Args: pretrained (bool): If True, returns a model pre-trained on ImageNet
models/vgg.py:176
Function
vgg13_bn
VGG 13-layer model (configuration "B") with batch normalization
models/vgg.py:185
Function
vgg16
VGG 16-layer model (configuration "D") Args: pretrained (bool): If True, returns a model pre-trained on ImageNet
models/vgg.py:191
Function
vgg16_bn
VGG 16-layer model (configuration "D") with batch normalization
models/vgg.py:200
Function
vgg19
VGG 19-layer model (configuration "E") Args: pretrained (bool): If True, returns a model pre-trained on ImageNet
models/vgg.py:206
Function
vgg8
VGG 8-layer model (configuration "S") Args: pretrained (bool): If True, returns a model pre-trained on ImageNet
models/vgg.py:143
Function
vgg8_bn
VGG 8-layer model (configuration "S") Args: pretrained (bool): If True, returns a model pre-trained on ImageNet
models/vgg.py:152
Function
wrn
Constructs a Wide Residual Networks.
models/wrn.py:127
Function
wrn_16_1
(**kwargs)
models/wrn.py:150
Function
wrn_16_2
(**kwargs)
models/wrn.py:145
Function
wrn_40_1
(**kwargs)
models/wrn.py:140
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