private NeuralTuringMachine[] TrainInternal(double[][] input, double[][] knownOutput)
{
NeuralTuringMachine[] machines = new NeuralTuringMachine[input.Length];
//FORWARD phase
_machine.InitializeMemoryState();
machines[0] = new NeuralTuringMachine(_machine);
machines[0].Process(input[0]);
for (int i = 1; i < input.Length; i++)
{
machines[i] = new NeuralTuringMachine(machines[i - 1]);
machines[i].Process(input[i]);
}
//Gradient reset
_gradientResetter.Reset();
_machine.UpdateWeights(_gradientResetter);
//BACKWARD phase
for (int i = input.Length - 1; i >= 0; i--)
{
machines[i].BackwardErrorPropagation(knownOutput[i]);
}
_machine.BackwardErrorPropagation();
//Weight updates
_weightUpdater.Reset();
_machine.UpdateWeights(_weightUpdater);
return(machines);
}
