AI::MXNet::Gluon::ModelZoo::Vision::MobileNet::LinearBottleneck - LinearBottleneck used in MobileNetV2 model
LinearBottleneck used in MobileNetV2 model from the "Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation" <https://arxiv.org/abs/1801.04381> paper. Parameters ---------- in_channels : Int Number of input channels. channels : Int Number of output channels. t : Int Layer expansion ratio. stride : Int stride
AI::MXNet::Gluon::ModelZoo::Vision::MobileNet - MobileNet model from the "MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications"
MobileNet model from the "MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications" <https://arxiv.org/abs/1704.04861> paper. Parameters ---------- multiplier : Num, default 1.0 The width multiplier for controling the model size. Only multipliers that are no less than 0.25 are supported. The actual number of channels is equal to the original channel size multiplied by this multiplier. classes : Int, default 1000 Number of classes for the output layer.
AI::MXNet::Gluon::ModelZoo::Vision::MobileNetV2 - MobileNet model from the "Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation"
MobileNetV2 model from the "Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation" <https://arxiv.org/abs/1801.04381> paper. Parameters ---------- multiplier : Num, default 1.0 The width multiplier for controling the model size. Only multipliers that are no less than 0.25 are supported. The actual number of channels is equal to the original channel size multiplied by this multiplier. classes : Int, default 1000 Number of classes for the output layer.
MobileNet model from the "MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications" <https://arxiv.org/abs/1704.04861> paper. Parameters ---------- $multiplier : Num The width multiplier for controling the model size. Only multipliers that are no less than 0.25 are supported. The actual number of channels is equal to the original channel size multiplied by this multiplier. :$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.
MobileNetV2 model from the "Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation" <https://arxiv.org/abs/1801.04381> paper. Parameters ---------- $multiplier : Num The width multiplier for controling the model size. Only multipliers that are no less than 0.25 are supported. The actual number of channels is equal to the original channel size multiplied by this multiplier. :$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.
MobileNet model from the "MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications" <https://arxiv.org/abs/1704.04861> paper, with width multiplier 1.0. 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.
MobileNetV2 model from the "Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation" <https://arxiv.org/abs/1801.04381> 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.
MobileNet model from the "MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications" <https://arxiv.org/abs/1704.04861> paper, with width multiplier 0.75. 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.
MobileNet model from the "MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications" <https://arxiv.org/abs/1704.04861> paper, with width multiplier 0.5. 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.
MobileNet model from the "MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications" <https://arxiv.org/abs/1704.04861> paper, with width multiplier 0.25. 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.
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.