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AI-MXNet-Gluon-ModelZoo-1.33
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/ AI::MXNet::Gluon::ModelZoo::Vision::SqueezeNet

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.