(num_classes=1000, pretrained='imagenet')
return model
r"""AlexNet model architecture from the
    `"One weird trick..." <https://arxiv.org/abs/1404.5997>`_ paper.
r"""AlexNet model architecture from the
    `"One weird trick..." <https://arxiv.org/abs/1404.5997>`_ paper.
r AlexNet model architecture from the One weird trick ... <https : // arxiv . org / abs / 1404 . 5997 > _ paper .
def alexnet(num_classes=1000, pretrained='imagenet'):
    r"""AlexNet model architecture from the
    `"One weird trick..." <https://arxiv.org/abs/1404.5997>`_ paper.
    """
    # https://github.com/pytorch/vision/blob/master/torchvision/models/alexnet.py
    model = models.alexnet(pretrained=False)
    if pretrained is not None:
        settings = pretrained_settings['alexnet'][pretrained]
        model = load_pretrained(model, num_classes, settings)
    model = modify_alexnet(model)
    return model
def alexnet ( num_classes = 1000 , pretrained = 'imagenet' ) : # https://github.com/pytorch/vision/blob/master/torchvision/models/alexnet.py model = models . alexnet ( pretrained = False ) if pretrained is not None : settings = pretrained_settings [ 'alexnet' ] [ pretrained ] model = load_pretrained ( model , num_classes , settings ) model = modify_alexnet ( model ) return model