//Compute
public double Compute(double[] inputs)
{
if (Weights.Length != inputs.Length)
{
throw new ArgumentException("array size mismatch", "inputs");
}
inputs.CopyTo(Inputs, 0);
double output = 0;
for (int i = 0; i < Weights.Length; i++)
{
output += inputs[i] * Weights[i];
}
Output = Activation.Function(output + Bias);
return(Output);
}
public override NDArray <Type> Forward(NDArray <Type> X, bool isTraining)
{
layerInput = new NDArray <Type>(X);
return(activation.Function(X));
}