AI::NNEasy - Define, learn and use easy Neural Networks of different types using a portable code in Perl and XS. River stage zero No dependents

The main purpose of this module is to create easy Neural Networks with Perl. The module was designed to can be extended to multiple network types, learning algorithms and activation functions. This architecture was 1st based in the module AI::NNFlex,...

GMPASSOS/AI-NNEasy-0.06 - 17 Jan 2005 02:25:07 GMT

lib/AI/NNEasy/NN.pm River stage zero No dependents

GMPASSOS/AI-NNEasy-0.06 - 17 Jan 2005 02:25:07 GMT

lib/AI/NNEasy/NN/reinforce.pm River stage zero No dependents

GMPASSOS/AI-NNEasy-0.06 - 17 Jan 2005 02:25:07 GMT

lib/AI/NNEasy/NN/node.pm River stage zero No dependents

GMPASSOS/AI-NNEasy-0.06 - 17 Jan 2005 02:25:07 GMT

lib/AI/NNEasy/NN/layer.pm River stage zero No dependents

GMPASSOS/AI-NNEasy-0.06 - 17 Jan 2005 02:25:07 GMT

lib/AI/NNEasy/NN/feedforward.pm River stage zero No dependents

GMPASSOS/AI-NNEasy-0.06 - 17 Jan 2005 02:25:07 GMT

lib/AI/NNEasy/NN/backprop.pm River stage zero No dependents

GMPASSOS/AI-NNEasy-0.06 - 17 Jan 2005 02:25:07 GMT

AI::NNFlex - A base class for implementing neural networks River stage zero No dependents

AI::NNFlex is a base class for constructing your own neural network modules. To implement a neural network, start with the documentation for AI::NNFlex::Backprop, included in this distribution...

CCOLBOURN/AI-NNFlex-0.24 - 17 Jun 2005 10:12:25 GMT

AI::NNFlex::Backprop - a fast, pure perl backprop Neural Net simulator River stage zero No dependents

AI::NNFlex::Backprop is a class to generate feedforward, backpropagation neural nets. It inherits various constructs from AI::NNFlex & AI::NNFlex::Feedforward, but is documented here as a standalone. The code should be simple enough to use for teachi...

CCOLBOURN/AI-NNFlex-0.24 - 17 Jun 2005 10:12:25 GMT

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