AI-MXNet

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lib/AI/MXNet.pm  view on Meta::CPAN

            1;
EOP
            eval $short_name_package;
        }
    }
}

1;
__END__

=encoding UTF-8

=head1 NAME

AI::MXNet - Perl interface to MXNet machine learning library

=head1 SYNOPSIS

    ## Convolutional NN for recognizing hand-written digits in MNIST dataset
    ## It's considered "Hello, World" for Neural Networks
    ## For more info about the MNIST problem please refer to http://neuralnetworksanddeeplearning.com/chap1.html

lib/AI/MXNet/Module/Bucketing.pm  view on Meta::CPAN

package AI::MXNet::Module::Bucketing;
use Mouse;
use AI::MXNet::Function::Parameters;
use AI::MXNet::Base;

=encoding UTF-8

=head1 NAME

AI::MXNet::Module::Bucketing

=head1 SYNOPSIS

    my $buckets = [10, 20, 30, 40, 50, 60];
    my $start_label   = 1;
    my $invalid_label = 0;

lib/AI/MXNet/NDArray.pm  view on Meta::CPAN

=cut

method as_in_context(AI::MXNet::Context $context)
{
    return $self if $self->context == $context;
    return $self->copyto($context);
}

=head2 onehot_encode

    One hot encoding indices into matrix out.

    Parameters
    ----------
    indices: NDArray
        An NDArray containing indices of the categorical features.

    out: NDArray
        The result of the encoding.

    Returns
    -------
        $out: NDArray
=cut

method onehot_encode(AI::MXNet::NDArray $indices, AI::MXNet::NDArray $out)
{
    return __PACKAGE__->_onehot_encode($indices, $out, { out => $out });
}

lib/AI/MXNet/RNN.pm  view on Meta::CPAN

package AI::MXNet::RNN;
use strict;
use warnings;
use AI::MXNet::Function::Parameters;
use AI::MXNet::RNN::IO;
use AI::MXNet::RNN::Cell;
use List::Util qw(max);

=encoding UTF-8

=head1 NAME

    AI::MXNet::RNN - Functions for constructing recurrent neural networks.
=cut

=head1 SYNOPSIS


=head1 DESCRIPTION

lib/AI/MXNet/RNN/IO.pm  view on Meta::CPAN

package AI::MXNet::RNN::IO;
use strict;
use warnings;
use AI::MXNet::Base;
use AI::MXNet::Function::Parameters;

=encoding UTF-8

=head1 NAME

    AI::MXNet::RNN::IO - Functions for constructing recurrent neural networks.
=cut

=head1 DESCRIPTION

    Functions for constructing recurrent neural networks.
=cut

lib/AI/MXNet/RNN/IO.pm  view on Meta::CPAN

            }
            push @coded, $vocab->{ $word };
        }
        push @res, \@coded;
    }
    return (\@res, $vocab);
}

package AI::MXNet::BucketSentenceIter;

=encoding UTF-8

=head1 NAME

    AI::MXNet::BucketSentenceIter
=cut

=head1 DESCRIPTION

    Simple bucketing iterator for language model.
    Label for each step is constructed from data of

lib/AI/MXNet/Visualization.pm  view on Meta::CPAN

package AI::MXNet::Visualization;
use strict;
use warnings;
use AI::MXNet::Base;
use AI::MXNet::Function::Parameters;
use JSON::PP;

=encoding UTF-8

=head1 NAME

    AI::MXNet::Vizualization - Vizualization support for Perl interface to MXNet machine learning library

=head1 SYNOPSIS

    use strict;
    use warnings;
    use AI::MXNet qw(mx);