vggnet_13¶
The vggnet_13 function constructs a VGGNet-13 model, which is a variant of the VGGNet architecture with 13 layers.
Total Parameters: 133,047,848
Function Signature¶
@register_model
def vggnet_13(num_classes: int = 1000, **kwargs) -> VGGNet
Parameters¶
num_classes (int, optional): The number of classes for the classification output. Defaults to 1000.
kwargs: Additional keyword arguments passed to the VGGNet constructor.
Returns¶
VGGNet: A VGGNet-13 model initialized with the specified parameters.
Examples¶
from lucid.models import vggnet_13
# Create a VGGNet-13 model
model = vggnet_13(num_classes=100)
print(model)