efficientnet_b1

lucid.models.efficientnet_b1(num_classes: int = 1000, **kwargs) → EfficientNet

The efficientnet_b1 function creates an instance of the EfficientNet-B1 model, a lightweight and efficient convolutional neural network preset built from the default EfficientNetConfig values for EfficientNet-B1.

Total Parameters: 7,795,560

Function Signature

@register_model
def efficientnet_b1(num_classes: int = 1000, **kwargs) -> EfficientNet:

Parameters

• num_classes (int, optional):

  The number of output classes for the classification task. Defaults to 1000 (e.g., for ImageNet).

• kwargs (dict, optional):

  Additional keyword arguments forwarded to EfficientNetConfig, excluding the preset width_coef, depth_coef, scale, and dropout fields.

Returns

• EfficientNet:

  An instance of the EfficientNet class constructed from the EfficientNet-B1 preset.