vggnet_16¶

lucid.models.vggnet_16(num_classes: int = 1000, **kwargs) → VGGNet¶

The vggnet_16 function constructs a VGGNet-16 model, which is a variant of the VGGNet architecture with 16 layers.

Total Parameters: 138,357,544

Function Signature¶

@register_model
def vggnet_16(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-16 model initialized with the specified parameters.

Examples¶

from lucid.models import vggnet_16

# Create a VGGNet-16 model
model = vggnet_16(num_classes=100)

print(model)