private BackpropAlgorithm createBPAlg()
{
var net = NetworkFactory.CreateFullyConnectedNetwork(new[] { 2, 15, 3 }, Activation.Logistic(1));
net[0].DropoutRate = 0.1D;
net.IsTraining = true;
var alg = new BackpropAlgorithm(Data.TrainingSample, net);
alg.EpochCount = 6000;
alg.LearningRate = 0.01D;
alg.BatchSize = 10;
alg.LossFunction = Loss.Euclidean;
int epoch = 0;
alg.EpochEndedEvent += (o, e) =>
{
if (epoch++ % 300 != 0)
{
return;
}
Console.WriteLine("----------------Epoch #: {0}", epoch);
Console.WriteLine("L:\t{0}", alg.ErrorValue);
Console.WriteLine("DL:\t{0}", alg.ErrorDelta);
Console.WriteLine("DW:\t{0}", alg.Step2);
};
return(alg);
}
