AI::NNFlex::Reinforce 0.24

AI::NNFlex::Reinforce is a very simple experimental NN module.

SYNOPSIS

use AI::NNFlex::Reinforce;

my $network = AI::NNFlex::Reinforce->new(config parameter=>value);

$network->add_layer(nodes=>x,activationfunction=>function);

$network->init();



use AI::NNFlex::Dataset;

my $dataset = AI::NNFlex::Dataset->new([
[INPUTARRAY],[TARGETOUTPUT],
[INPUTARRAY],[TARGETOUTPUT]]);

my $sqrError = 10;

for (1..100)

{

$dataset->learn($network);

}

$network->lesion({nodes=>PROBABILITY,connections=>PROBABILITY});

$network->dump_state(filename=>badgers.wts);

$network->load_state(filename=>badgers.wts);

my $outputsRef = $dataset->run($network);

my $outputsRef = $network->output(layer=>2,round=>1);

Reinforce is a very simple NN module. Its mainly included in this distribution to provide an example of how to subclass AI::NNFlex to write your own NN modules. The training method strengthens any connections that are active during the run pass.