norse.torch.models.vgg

norse.torch.models.vgg

Functions

make_layers(cfg[, batch_norm])

vgg11([pretrained, progress])

VGG 11-layer model (configuration "A") from "Very Deep Convolutional Networks For Large-Scale 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

vgg11_bn([pretrained, progress])

VGG 11-layer model (configuration "A") with batch normalization "Very Deep Convolutional Networks For Large-Scale 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

vgg13([pretrained, progress])

VGG 13-layer model (configuration "B") "Very Deep Convolutional Networks For Large-Scale 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

vgg13_bn([pretrained, progress])

VGG 13-layer model (configuration "B") with batch normalization "Very Deep Convolutional Networks For Large-Scale 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

vgg16([pretrained, progress])

VGG 16-layer model (configuration "D") "Very Deep Convolutional Networks For Large-Scale 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

vgg16_bn([pretrained, progress])

VGG 16-layer model (configuration "D") with batch normalization "Very Deep Convolutional Networks For Large-Scale 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

vgg19([pretrained, progress])

VGG 19-layer model (configuration "E") "Very Deep Convolutional Networks For Large-Scale 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

vgg19_bn([pretrained, progress])

VGG 19-layer model (configuration 'E') with batch normalization "Very Deep Convolutional Networks For Large-Scale 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

Classes

VGG(features[, num_classes, init_weights])