squeezenet1_1

torchvision.models.squeezenet1_1(*, weights: Optional[SqueezeNet1_1_Weights] = None, progress: bool = True, **kwargs: Any) → SqueezeNet

SqueezeNet 1.1 model from the official SqueezeNet repo.

SqueezeNet 1.1 has 2.4x less computation and slightly fewer parameters than SqueezeNet 1.0, without sacrificing accuracy.

Parameters:

• weights (SqueezeNet1_1_Weights, optional) – The pretrained weights to use. See SqueezeNet1_1_Weights below for more details, and possible values. By default, no pre-trained weights are used.

• progress (bool, optional) – If True, displays a progress bar of the download to stderr. Default is True.

• **kwargs – parameters passed to the torchvision.models.squeezenet.SqueezeNet base class. Please refer to the source code for more details about this class.

class torchvision.models.SqueezeNet1_1_Weights(value, names=None, *, module=None, qualname=None, type=None, start=1, boundary=None)