vggnet_11¶
The vggnet_11 function constructs a VGGNet-11 model, which is a variant of the VGGNet architecture with 11 layers.
Total Parameters: 132,863,336
Function Signature¶
@register_model
def vggnet_11(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-11 model initialized with the specified parameters.
Examples¶
from lucid.models import vggnet_11
# Create a VGGNet-11 model
model = vggnet_11(num_classes=100)
print(model)