(pretrained=False, **kwargs)
return model
VGG 13-layer model (configuration "B")
    Args:
        pretrained (bool): If True, returns a model pre-trained on ImageNet
VGG 13-layer model (configuration "B")
    Args:
        pretrained (bool): If True, returns a model pre-trained on ImageNet
VGG 13 - layer model ( configuration B ) Args : pretrained ( bool ) : If True returns a model pre - trained on ImageNet
def vgg13(pretrained=False, **kwargs):
    """VGG 13-layer model (configuration "B")
    Args:
        pretrained (bool): If True, returns a model pre-trained on ImageNet
    """
    model = VGG(make_layers(cfg['B']), **kwargs)
    return model
def vgg13 ( pretrained = False , * * kwargs ) : model = VGG ( make_layers ( cfg [ 'B' ] ) , * * kwargs ) return model