/* CONSTRUCTOR */
public NetworkTraining(Network trainNetwork, string file, double learnCoef, Dictionary<int, List<int>> trainingData, List<int> expectedValues)
{
DigitNetwork = trainNetwork;
FileName = file;
LearningCoef = learnCoef;
TrainingData = trainingData;
ExpectedResults = expectedValues;
ReadTrainingData();
if (ExpectedResults != null)
NumerOfExamples = ExpectedResults.Count;
else
{
NumerOfExamples = 0;
Console.WriteLine("No training examples read!!!");
}
CountCorrect = 0;
CountIncorrect = 0;
}
public App(int numOfLayers = 2, int numOfNeuronsInLayer = 10, double learnCoef = 1, int numberOfEpochs = 10)
{
DigitNetwork = new Network(64, numOfLayers, numOfNeuronsInLayer);
LearningCoef = learnCoef;
string fileTrain = "NeuronApp\\optdigits.tra";
string fileTest = "NeuronApp\\optdigits.tes";
TrainingData = new Dictionary<int, List<int>>();
TestingData = new Dictionary<int, List<int>>();
ExpectedTrainingResults = new List<int>();
ExpectedTestingResults = new List<int>();
Training = new NetworkTraining(DigitNetwork, fileTrain, LearningCoef, TrainingData, ExpectedTrainingResults);
Training.TrainNetwork(numberOfEpochs);
Console.WriteLine("Correct = {0}, Incorrect = {1}", Training.CountCorrect, Training.CountIncorrect);
Console.WriteLine("Percent correct = {0}", 100 * ((double)Training.CountCorrect) / (Training.CountCorrect + Training.CountIncorrect));
Testing = new NetworkTesting(DigitNetwork, fileTest, LearningCoef, TestingData, ExpectedTestingResults);
Testing.TestNetwork();
Console.WriteLine("Correct = {0}, Incorrect = {1}", Testing.CountCorrect, Testing.CountIncorrect);
Console.WriteLine("Percent correct = {0}", 100 * ((double)Testing.CountCorrect) / (Testing.CountCorrect + Testing.CountIncorrect));
}
