SqueezeNet

The SqueezeNet model is based on the SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size paper.

Model builders

The following model builders can be used to instantiate a SqueezeNet model, with or without pre-trained weights. All the model builders internally rely on the torchvision.models.squeezenet.SqueezeNet base class. Please refer to the source code for more details about this class.

squeezenet1_0(*[, weights, progress])	SqueezeNet model architecture from the SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size paper.
squeezenet1_1(*[, weights, progress])	SqueezeNet 1.1 model from the official SqueezeNet repo.