public ISupervisedOperations SupervisedOperations(EActivationFunction act,
EErrorFunction err,
EOptimizerFunction opt)
{
IActivationFunction activationFunction = null;
IErrorFunction errorFunction = null;
IOptimizerFunction optimizerFunction = null;
switch (act)
{
case EActivationFunction.Sigmoid:
activationFunction = new SigmoidFunction();
break;
case EActivationFunction.LeakRelu:
activationFunction = new LeakReluFunction();
break;
}
switch (err)
{
case EErrorFunction.Dense:
errorFunction = new DenseErrorFunction();
break;
case EErrorFunction.Desired:
errorFunction = new DesiredErrorFunction();
break;
}
switch (opt)
{
case EOptimizerFunction.SGD:
optimizerFunction = new SGDOptimizerFunction();
break;
}
return(new AnnBasicOperations(activationFunction,
errorFunction,
optimizerFunction));
}
public LayerOptimizer(int size, int connections, float learningRate, float momentum, EActivationFunction activationFunction, EErrorFunction errorFunction, EOptimizerFunction optimizerFunction, ELearningMethod learningMethod) : base(size, connections, learningRate, momentum, activationFunction, errorFunction, optimizerFunction, learningMethod)
{
}
public static System.Func <decimal[], int, decimal[]> GetAppropriateDerivativeActivationFunction(EActivationFunction DerivativeActivationFunctionName)
{
System.Func <decimal[], int, decimal[]> RetVal;
switch (DerivativeActivationFunctionName)
{
case EActivationFunction.Sigmoid:
RetVal = Sigmoid_Derivative;
break;
case EActivationFunction.Softmax:
RetVal = Softmax_Derivative;
break;
default:
RetVal = Sigmoid_Derivative;
break;
}
return(RetVal);
}