AI::MXNet::Gluon::ModelZoo::Vision::ResNet::BasicBlockV1 - BasicBlock V1 from `"Deep Residual Learning for Image Recognition"
BasicBlock V1 from `"Deep Residual Learning for Image Recognition" <http://arxiv.org/abs/1512.03385>`_ paper. This is used for ResNet V1 for 18, 34 layers. Parameters ---------- channels : Int Number of output channels. stride : Int Stride size. downsample : Bool, default 0 Whether to downsample the input. in_channels : Int, default 0 Number of input channels. Default is 0, to infer from the graph.
AI::MXNet::Gluon::ModelZoo::Vision::ResNet::BottleneckV1 - Bottleneck V1 from "Deep Residual Learning for Image Recognition"
Bottleneck V1 from "Deep Residual Learning for Image Recognition" <http://arxiv.org/abs/1512.03385> paper. This is used for ResNet V1 for 50, 101, 152 layers. Parameters ---------- channels : int Number of output channels. stride : int Stride size. downsample : bool, default False Whether to downsample the input. in_channels : int, default 0 Number of input channels. Default is 0, to infer from the graph.
AI::MXNet::Gluon::ModelZoo::Vision::ResNet::BasicBlockV2 - BasicBlock V2 from "Identity Mappings in Deep Residual Networks"
Bottleneck V2 from "Identity Mappings in Deep Residual Networks" <https://arxiv.org/abs/1603.05027> paper. This is used for ResNet V2 for 18, 34 layers. Parameters ---------- channels : Int Number of output channels. stride : Int Stride size. downsample : Bool, default 0 Whether to downsample the input. in_channels : Int, default 0 Number of input channels. Default is 0, to infer from the graph.
AI::MXNet::Gluon::ModelZoo::Vision::ResNet::BottleneckV2 - Bottleneck V2 from "Identity Mappings in Deep Residual Networks"
Bottleneck V2 from "Identity Mappings in Deep Residual Networks" <https://arxiv.org/abs/1603.05027> paper. This is used for ResNet V2 for 50, 101, 152 layers. Parameters ---------- channels : int Number of output channels. stride : int Stride size. downsample : bool, default False Whether to downsample the input. in_channels : int, default 0 Number of input channels. Default is 0, to infer from the graph.
AI::MXNet::Gluon::ModelZoo::Vision::ResNet::V1 - ResNet V1 model from "Deep Residual Learning for Image Recognition"
ResNet V1 model from from "Deep Residual Learning for Image Recognition" <http://arxiv.org/abs/1512.03385> paper. Parameters ---------- block : AI::MXNet::Gluon::HybridBlock Class for the residual block. Options are AI::MXNet::Gluon::ModelZoo::Vision::ResNet::BasicBlockV1, AI::MXNet::Gluon::ModelZoo::Vision::ResNet::BottleneckV1. layers : array ref of Int Numbers of layers in each block channels : array ref of Int Numbers of channels in each block. Length should be one larger than layers list. classes : int, default 1000 Number of classification classes. thumbnail : bool, default 0 Enable thumbnail.
AI::MXNet::Gluon::ModelZoo::Vision::ResNet::V2 - ResNet V2 model from "Identity Mappings in Deep Residual Networks"
ResNet V2 model from "Identity Mappings in Deep Residual Networks" <https://arxiv.org/abs/1603.05027> paper. Parameters ---------- block : AI::MXNet::Gluon::HybridBlock Class for the residual block. Options are AI::MXNet::Gluon::ModelZoo::Vision::ResNet::BasicBlockV2, AI::MXNet::Gluon::ModelZoo::Vision::ResNet::BottleneckV2. layers : array ref of Int Numbers of layers in each block channels : array ref of Int Numbers of channels in each block. Length should be one larger than layers list. classes : int, default 1000 Number of classification classes. thumbnail : bool, default 0 Enable thumbnail.
ResNet V1 model from "Deep Residual Learning for Image Recognition" <http://arxiv.org/abs/1512.03385> paper. ResNet V2 model from "Identity Mappings in Deep Residual Networks" <https://arxiv.org/abs/1603.05027> paper. Parameters ---------- $version : Int Version of ResNet. Options are 1, 2. $num_layers : Int Numbers of layers. Options are 18, 34, 50, 101, 152. :$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.
ResNet-18 V1 model from "Deep Residual Learning for Image Recognition" <http://arxiv.org/abs/1512.03385> 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. :$root : Str, default '~/.mxnet/models' Location for keeping the model parameters.
ResNet-34 V1 model from "Deep Residual Learning for Image Recognition" <http://arxiv.org/abs/1512.03385> paper. Parameters ---------- :$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.
ResNet-50 V1 model from "Deep Residual Learning for Image Recognition" <http://arxiv.org/abs/1512.03385> 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. :$root : Str, default '~/.mxnet/models' Location for keeping the model parameters.
ResNet-101 V1 model from "Deep Residual Learning for Image Recognition" <http://arxiv.org/abs/1512.03385> paper. Parameters ---------- :$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.
ResNet-152 V1 model from "Deep Residual Learning for Image Recognition" <http://arxiv.org/abs/1512.03385> 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. :$root : Str, default '~/.mxnet/models' Location for keeping the model parameters.
ResNet-18 V2 model from "Identity Mappings in Deep Residual Networks" <https://arxiv.org/abs/1603.05027> paper. Parameters ---------- :$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.
ResNet-34 V2 model from "Identity Mappings in Deep Residual Networks" <https://arxiv.org/abs/1603.05027> 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. :$root : Str, default '~/.mxnet/models' Location for keeping the model parameters.
ResNet-50 V2 model from "Identity Mappings in Deep Residual Networks" <https://arxiv.org/abs/1603.05027> paper. Parameters ---------- :$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.
ResNet-101 V2 model from "Identity Mappings in Deep Residual Networks" <https://arxiv.org/abs/1603.05027> 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. :$root : Str, default '~/.mxnet/models' Location for keeping the model parameters.
ResNet-152 V2 model from "Identity Mappings in Deep Residual Networks" <https://arxiv.org/abs/1603.05027> paper. Parameters ---------- :$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.
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.