(num_classes=1000)
return model
Constructs a ResNet-101 model.

    Args:
        pretrained (bool): If True, returns a model pre-trained on ImageNet
Constructs a ResNet-101 model.
Constructs a ResNet - 101 model .
def fbresnet101(num_classes=1000):
    """Constructs a ResNet-101 model.

    Args:
        pretrained (bool): If True, returns a model pre-trained on ImageNet
    """
    model = FBResNet(Bottleneck, [3, 4, 23, 3], num_classes=num_classes)
    return model
def fbresnet101 ( num_classes = 1000 ) : model = FBResNet ( Bottleneck , [ 3 , 4 , 23 , 3 ] , num_classes = num_classes ) return model