inception_next_tiny¶

lucid.models.inception_next_tiny(num_classes: int = 1000, **kwargs) → InceptionNeXt¶

The inception_next_tiny function instantiates an InceptionNeXt-Tiny model, a compact variant of the InceptionNeXt architecture designed for a balance between efficiency and accuracy with moderate computational requirements.

Total Parameters: 28,083,832

Function Signature¶

@register_model
def inception_next_tiny(num_classes: int = 1000, **kwargs) -> InceptionNeXt

Parameters¶

num_classes (int, optional): Number of output classes for the final classification layer. Defaults to 1000.
kwargs (dict, optional): Additional arguments to customize the model configuration.

Returns¶

InceptionNeXt: An instance of the InceptionNeXt model configured as the tiny variant.

Example¶

from lucid.models import inception_next_tiny

# Instantiate InceptionNeXt-Tiny
model = inception_next_tiny(num_classes=1000)

# Forward pass with a random input
input_tensor = lucid.random.randn(1, 3, 224, 224)
output = model(input_tensor)
print(output.shape)  # Output shape: (1, 1000)