/// <summary>
/// Pomnoziti sve ulaze sa tezinama.
/// Sabrati sve rezultate mnozaca. Kao povratnu vrednost
/// vratiti vrednost aktivacione funkije za vrednost suma
/// svih mnozaca
/// </summary>
/// <param name="x">x is a vector of inputs</param>
/// <returns></returns>
public double forward(List <double> x)
{
List <double> inputs = new List <double>(x);
inputs.Add(1.0); //bias
List <double> forSum = new List <double>();
//TODO 6: Izracunati vrednost na izlazu vestackog neurona
for (int i = 0; i < inputs.Count; i++)
{
MultiplyNode mn = this.multiplyNodes[i];
double weight = mn.x[1];
List <double> newInputs = new List <double>();
newInputs.Add(inputs[i]);
newInputs.Add(weight);
forSum.Add(mn.forward(newInputs));
}
double summed = this.sumNode.forward(forSum);
double summed_act;
if (activation.Equals("sigmoid"))
{
summed_act = this.activation_node.forward(summed);
}
else
{
summed_act = this.activation_node2.forward(summed);
}
return(summed_act);
}
/// <summary>
/// Pomnoziti sve ulaze sa tezinama.
/// Sabrati sve rezultate mnozaca. Kao povratnu vrednost
/// vratiti vrednost aktivacione funkije za vrednost suma
/// svih mnozaca
/// </summary>
/// <param name="x">x is a vector of inputs</param>
/// <returns></returns>
public double forward(List <double> x)
{
/*
* List<double> inputs = new List<double>(x);
* inputs.Add(1.0); //bias
*
* List<double> forSum = new List<double>();
* //TODO 6: Izracunati vrednost na izlazu vestackog neurona
* for (int i = 0; i < inputs.Count; i++)
* {
* double w_i = this.multiplyNodes[i].x[1]; //uzmi tezinu iz mnozackog cvora, drugi parametar
* MultiplyNode mn = new MultiplyNode();
*
*
* List<double> parTezinaInput = new List<double>();
*
*
* parTezinaInput.Add(w_i);
* parTezinaInput.Add(inputs[i]);
*
* //mora ovako jer mn.forward trazi parametre
*
*
* //pomnozi i dodaj u buduci sabirac
* forSum.Add(mn.forward(parTezinaInput));
*
* }
*
* double summed = 0.0;
* //SumNode sumNode = new SumNode();
* summed = sumNode.forward(forSum);
*
* // dobijena vrednost se propusti kroz aktivacionu funkciju
* double summed_act = this.activation_node.forward(summed);
* return summed_act;
*/
List <double> inputs = new List <double>(x);
inputs.Add(1.0); //bias
List <double> forSum = new List <double>();
//TODO 6: Izracunati vrednost na izlazu vestackog neurona
for (int i = 0; i < inputs.Count; i++)
{
MultiplyNode mn = this.multiplyNodes[i];
double weight = mn.x[1];
List <double> newInputs = new List <double>();
newInputs.Add(inputs[i]);
newInputs.Add(weight);
forSum.Add(mn.forward(newInputs));
}
double summed = this.sumNode.forward(forSum);
// dobijena vrednost se propusti kroz aktivacionu funkciju
double summed_act = this.activation_node.forward(summed);
return(summed_act);
}