data
MobileNetV2Config
extends
ModelConfigMobileNetV2Config(num_classes: int = 1000, in_channels: int = 3, width_mult: float = 1.0, dropout: float = 0.2)Configuration for MobileNet v2.
width_mult — uniform channel multiplier; 1.0 = full model.
dropout — classifier dropout probability.
Examples
>>> from lucid.models.vision.mobilenet_v2._config import MobileNetV2Config
>>> cfg = MobileNetV2Config()
>>> cfg.model_type
'mobilenet_v2'
>>> cfg.num_classes, cfg.in_channels
(1000, 3)