NAME

            

              
              
AI::MXNet::Gluon::ModelZoo::Vision::SqueezeNet - SqueezeNet model from the "SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size"
            
          

DESCRIPTION

            

              
              
SqueezeNet model from the "SqueezeNet: AlexNet-level accuracy with 50x fewer parameters
and <0.5MB model size" <https://arxiv.org/abs/1602.07360> paper.
SqueezeNet 1.1 model from the official SqueezeNet repo
<https://github.com/DeepScale/SqueezeNet/tree/master/SqueezeNet_v1.1>.
SqueezeNet 1.1 has 2.4x less computation and slightly fewer parameters
than SqueezeNet 1.0, without sacrificing accuracy.
Parameters
----------
version : Str
    Version of squeezenet. Options are '1.0', '1.1'.
classes : Int, default 1000
    Number of classification classes.
            
          

get_squeezenet

            

              
              
SqueezeNet model from the "SqueezeNet: AlexNet-level accuracy with 50x fewer parameters
and <0.5MB model size" <https://arxiv.org/abs/1602.07360> paper.
SqueezeNet 1.1 model from the official SqueezeNet repo
<https://github.com/DeepScale/SqueezeNet/tree/master/SqueezeNet_v1.1>.
SqueezeNet 1.1 has 2.4x less computation and slightly fewer parameters
than SqueezeNet 1.0, without sacrificing accuracy.
Parameters
----------
$version : Str
    Version of squeezenet. Options are '1.0', '1.1'.
:$pretrained : Bool, default 0
    Whether to load the pretrained weights for model.
:$ctx : AI::MXNet::Context, default CPU
    The context in which to load the pretrained weights.
:$root : Str, default '~/.mxnet/models'
    Location for keeping the model parameters.
            
          

squeezenet1_0

            

              
              
SqueezeNet 1.0 model from the "SqueezeNet: AlexNet-level accuracy with 50x fewer parameters
and <0.5MB model size" <https://arxiv.org/abs/1602.07360> paper.
Parameters
----------
:$pretrained : Bool, default 0
    Whether to load the pretrained weights for model.
:$ctx : AI::MXNet::Context, default CPU
    The context in which to load the pretrained weights.
:$root : Str, default '~/.mxnet/models'
    Location for keeping the model parameters.
            
          

squeezenet1_1

            

              
              
SqueezeNet 1.1 model from the official SqueezeNet repo
<https://github.com/DeepScale/SqueezeNet/tree/master/SqueezeNet_v1.1>.
SqueezeNet 1.1 has 2.4x less computation and slightly fewer parameters
than SqueezeNet 1.0, without sacrificing accuracy.
Parameters
----------
:$pretrained : Bool, default 0
    Whether to load the pretrained weights for model.
:$ctx : AI::MXNet::Context, default CPU
    The context in which to load the pretrained weights.
:$root : Str, default '~/.mxnet/models'
    Location for keeping the model parameters.