void CreateTeacher()
{
Accord.Neuro.Networks.DeepBeliefNetwork net = (Accord.Neuro.Networks.DeepBeliefNetwork)_Network;
_Teacher = new Accord.Neuro.Learning.ResilientBackpropagationLearning(net);
}
static void NeuralNetworkAccompanimentTest()
{
// initialize input and output values
double[][] input = new double[4][] {
new double[] {0, 0}, new double[] {0, 1},
new double[] {1, 0}, new double[] {1, 1}
};
double[][] output = new double[4][] {
new double[] {0}, new double[] {1},
new double[] {1}, new double[] {0}
};
SigmoidFunction sig = new SigmoidFunction();
Accord.Neuro.Networks.RestrictedBoltzmannMachine boltz = new Accord.Neuro.Networks.RestrictedBoltzmannMachine(200, 200);
// create neural network
ActivationNetwork network = new ActivationNetwork(
new SigmoidFunction(2),
200,
20,
200);
//BackPropagationLearning teacher = new BackPropagationLearning(network);
//LevenbergMarquardtLearning teacher = new LevenbergMarquardtLearning(network);
Accord.Neuro.Learning.ParallelResilientBackpropagationLearning teacher = new ParallelResilientBackpropagationLearning(network);
Accord.Neuro.Networks.DeepBeliefNetwork dpn = new Accord.Neuro.Networks.DeepBeliefNetwork(200, 20);
// teacher.IncreaseFactor = 1.01;
Composition c = Composition.LoadFromMIDI("test/other/ff7tifa.mid");
MusicPlayer player = new MusicPlayer();
//player.Play(c.Tracks[0]);
List<double[]> inputs = new List<double[]>(); List<double[]> outputs = new List<double[]>();
inputs.Add(GetDoublesFromNotes((c.Tracks[0].GetMainSequence() as MelodySequence).ToArray()));
outputs.Add(GetDoublesFromNotes((c.Tracks[1].GetMainSequence() as MelodySequence).ToArray()));
// inputs.Add(GetDoublesFromNotes((c.Tracks[1].GetMainSequence() as MelodySequence).ToArray()));
// outputs.Add(GetDoublesFromNotes((c.Tracks[2].GetMainSequence() as MelodySequence).ToArray()));
// inputs.Add(GetDoublesFromNotes((c.Tracks[0].GetMainSequence() as MelodySequence).ToArray()));
// outputs.Add(GetDoublesFromNotes((c.Tracks[3].GetMainSequence() as MelodySequence).ToArray()));
int its = 0;
while (its++ < 10000)
{
double error = teacher.RunEpoch(inputs.ToArray(), outputs.ToArray());
Console.WriteLine("{0}: Error - {1}", its, error);
}
var input_melody = (c.Tracks[0].GetMainSequence() as MelodySequence);
var new_notes = network.Compute(GetDoublesFromNotes(input_melody.ToArray()));
var new_mel = GetMelodyFromDoubles(new_notes);
player.Play(new_mel);
Console.ReadLine();
}
void CreateNetwork(Accord.Neuro.ActivationFunctions.IStochasticFunction function, int inputneurons, int[] hiddenlayers)
{
_Network = new Accord.Neuro.Networks.DeepBeliefNetwork(function, inputneurons, hiddenlayers);
_InputNeurons = inputneurons;
}
