sk_resnet_50

lucid.models.sk_resnet_50(num_classes: int = 1000, **kwargs) → SKNet

The sk_resnet_50 function constructs a Selective Kernel ResNet-50 model. This preset uses SKNetConfig(block=”bottleneck”, layers=[3, 4, 6, 3]).

Total Parameters: 57,073,368

Function Signature

@register_model
def sk_resnet_50(num_classes: int = 1000, **kwargs) -> SKNet

Parameters

• num_classes (int, optional): Number of output classes for the final fully connected layer. Default is 1000.

• kwargs (dict, optional): Additional keyword arguments forwarded to SKNetConfig, excluding the preset block and layers fields.

Returns

• SKNet: A Selective Kernel ResNet-50 model instance with the preset (block=”bottleneck”, layers=[3, 4, 6, 3]).