squeezenet1_0

torchvision.models.squeezenet1_0(*, weights: Optional[SqueezeNet1_0_Weights] = None, progress: bool = True, **kwargs: Any) → SqueezeNet

SqueezeNet model architecture from the SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size paper.

Parameters:

• weights (SqueezeNet1_0_Weights, optional) – The pretrained weights to use. See SqueezeNet1_0_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_0_Weights(value, names=None, *, module=None, qualname=None, type=None, start=1, boundary=None)