Function resnet101

CV/Pytorch_classification/ResNet/model.py:165–166

(num_classes=1000, include_top=True)

    return ResNet(BasicBlock, [3, 4, 6, 3], num_classes=num_classes, include_top=include_top)

def resnet101(num_classes=1000, include_top=True):
    return ResNet(BasicBlock, [3, 4, 23, 3], num_classes=num_classes, include_top=include_top)

def resnext50_32x4d(num_classes=1000, include_top=True):
    groups = 32