(**kwargs)
return ResNet(Bottleneck, [3, 4, 6, 3], **kwargs)
r"""ResNet-50 model from
    `"Deep Residual Learning for Image Recognition" <https://arxiv.org/pdf/1512.03385.pdf>`_
r"""ResNet-50 model from
    `"Deep Residual Learning for Image Recognition" <https://arxiv.org/pdf/1512.03385.pdf>`_
r ResNet - 50 model from Deep Residual Learning for Image Recognition <https : // arxiv . org / pdf / 1512 . 03385 . pdf > _
def resnet50(**kwargs):
    r"""ResNet-50 model from
    `"Deep Residual Learning for Image Recognition" <https://arxiv.org/pdf/1512.03385.pdf>`_
    """
    return ResNet(Bottleneck, [3, 4, 6, 3], **kwargs)
def resnet50 ( * * kwargs ) : return ResNet ( Bottleneck , [ 3 , 4 , 6 , 3 ] , * * kwargs )