AI::MXNet::Gluon::ModelZoo::Vision::SqueezeNet - SqueezeNet model from the "SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size"
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.
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.
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. :$root : Str, default '~/.mxnet/models' Location for keeping the model parameters.
SqueezeNet 1.1 model from the official SqueezeNet repo <https://github.com/DeepScale/SqueezeNet/tree/master/SqueezeNet_v1.1>. SqueezeNet 1.1 has 2.4x less computation and slightly fewer parameters than SqueezeNet 1.0, without sacrificing accuracy. Parameters ---------- :$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.
To install AI::MXNet::Gluon::ModelZoo, copy and paste the appropriate command in to your terminal.
cpanm
cpanm AI::MXNet::Gluon::ModelZoo
CPAN shell
perl -MCPAN -e shell install AI::MXNet::Gluon::ModelZoo
For more information on module installation, please visit the detailed CPAN module installation guide.