This is a demo for backpropagation neural network using module AI::NeuralNet::BackProp from CPAN. Backpropagation neural networks can generalize and learn from training data.
Number of input and output neurons is not required to enter, it will be calculated from
the size of input and output data matrix. (Number of columns).
Training data (input, output) should be entered as matrix where each row is new training
instance.
