AI::MXNet::Gluon::ModelZoo::Vision::DenseNet - Densenet-BC model from the "Densely Connected Convolutional Networks"
Densenet-BC model from the "Densely Connected Convolutional Networks" <https://arxiv.org/pdf/1608.06993.pdf> paper. Parameters ---------- num_init_features : Int Number of filters to learn in the first convolution layer. growth_rate : Int Number of filters to add each layer (`k` in the paper). block_config : array ref of Int List of integers for numbers of layers in each pooling block. bn_size : Int, default 4 Multiplicative factor for number of bottle neck layers. (i.e. bn_size * k features in the bottleneck layer) dropout : float, default 0 Rate of dropout after each dense layer. classes : int, default 1000 Number of classification classes.
Densenet-BC model from the "Densely Connected Convolutional Networks" <https://arxiv.org/pdf/1608.06993.pdf> paper. Parameters ---------- $num_layers : Int Number of layers for the variant of densenet. Options are 121, 161, 169, 201. :$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.
Densenet-BC 121-layer model from the "Densely Connected Convolutional Networks" <https://arxiv.org/pdf/1608.06993.pdf> 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. :$root : Str, default '~/.mxnet/models' Location for keeping the model parameters.
Densenet-BC 161-layer model from the "Densely Connected Convolutional Networks" <https://arxiv.org/pdf/1608.06993.pdf> paper. Parameters ---------- :$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.
Densenet-BC 169-layer model from the "Densely Connected Convolutional Networks" <https://arxiv.org/pdf/1608.06993.pdf> 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. :$root : Str, default '~/.mxnet/models' Location for keeping the model parameters.
Densenet-BC 201-layer model from the "Densely Connected Convolutional Networks" <https://arxiv.org/pdf/1608.06993.pdf> paper. Parameters ---------- :$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.