public void Initialize()
{
FirstNeurons.Initialize(NnInitializer, index: 0);
if (FunctionInitializer != null)
{
ErrorEvaluatorEnum = FunctionInitializer.GetErrorEvaluatorEnum();
}
else
{
ErrorEvaluatorEnum = ErrorEvaluatorEnum.Simple;
}
}
public void Forward(double[] input, double[] answer = null, bool doBackpropagation = true)
{
if (doBackpropagation == true)
{
Epochs++;
}
FirstNeurons.Forward(input);
if (answer != null)
{
Matrix <double> error = GetError(LastNeurons.O, answer);
this.Errors.Add(error);
}
if (doBackpropagation == true && Epochs >= MaxEpochs)
{
//Console.WriteLine("Output in NeuralNetworkCls:");
//Console.WriteLine(LastNeurons.O);
Epochs = 0;
Backpropagation();
}
}
