NAME

            

              
              
AI::MXNet::Gluon::ModelZoo - A collection of pretrained MXNet Gluon models
            
          

SYNOPSIS

            

              
              
## run forward prediction on random data
use AI::MXNet::Gluon::ModelZoo qw(get_model);
my $alexnet = get_model('alexnet', pretrained => 1);
my $out = $alexnet->(mx->nd->random->uniform(shape=>[1, 3, 224, 224]));
print $out->aspdl;
            
          

DESCRIPTION

            

              
              
This module houses a collection of pretrained models (the parameters are hosted on public mxnet servers).
https://mxnet.incubator.apache.org/api/python/gluon/model_zoo.html
See examples/image_classification.pl for the example of real time image classification
using a pretrained model from the ModelZoo
            
          

get_model

            

              
              
Returns a pre-defined model by name
Parameters
----------
$name : Str
    Name of the model.
:$pretrained : Bool
    Whether to load the pretrained weights for model.
:$classes : Int
    Number of classes for the output layer.
:$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.
Returns
-------
HybridBlock
    The model.
            
          

AUTHOR

            

              
              
Sergey Kolychev, <sergeykolychev.github@gmail.com>
            
          

COPYRIGHT & LICENSE

            

              
              
This library is licensed under Apache 2.0 license L<https://www.apache.org/licenses/LICENSE-2.0>