static void Main(string[] args)
{
// Store the training data into a datatable
var inpgetter = GetCSV(@"C:\Users\daniel.l.astillero\Documents\Visual Studio 2017\Projects\AccentureCognitiveLibrary\DATASETS\inpnormal.csv");
var outgetter = GetCSV(@"C:\Users\daniel.l.astillero\Documents\Visual Studio 2017\Projects\AccentureCognitiveLibrary\DATASETS\outnormalOtOnly.csv");
Task.WaitAll(inpgetter, outgetter);
var dtInput = inpgetter.Result as DataTable;
var dtOutput = outgetter.Result as DataTable;
var ffnn = new NeuralNetwork();
ffnn.SetTrainingInputData(dtInput);
ffnn.AddHiddenLayer(numOfHiddenNeurons: 6, activationFunction: ReLU);
// ffnn.AddHiddenLayer(numOfHiddenNeurons: 9, activationFunction: Sigmoid);
ffnn.SetTrainingOutputData(dtOutput);
ffnn.LearningRate = 0.65f;
ffnn.Epoch = 100000;
ffnn.Train();
Console.WriteLine("\n\nDone with training.");
while (true)
{
Console.ReadKey();
}
}
