squeezenet1_0

torchvision.models.squeezenet1_0(pretrained: bool = False, progress: bool = True, **kwargs: Any) → torchvision.models.squeezenet.SqueezeNet

SqueezeNet model architecture from the “SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size” paper. The required minimum input size of the model is 21x21.

Parameters

• pretrained (bool) – If True, returns a model pre-trained on ImageNet

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