public double activate(double x, ActivatorFunc?_tF)
{
ActivatorFunc __tF = _tF ?? tF;
switch (__tF)
{
case ActivatorFunc.Sigmoid:
return(Activate.Sigmoid(x));
case ActivatorFunc.TanHyperbolic:
return(Activate.Tanh(x));
case ActivatorFunc.Identity:
return(Activate.Identity(x));
case ActivatorFunc.ReLU:
return(Activate.ReLU(x));
case ActivatorFunc.SoftStep:
return(Activate.SoftStep(x));
}
return(-1);
}
public IEnumerable<NetworkParameters> GenerateParameters(ActivatorFunc activator)
{
// d | d(2d + 1) | (2d + 1) | o
int sizeOfGenePool = 6;
var d = _vectorSize;
var l = new int[sizeOfGenePool][];
var o = _outputSize;
l[0] = L(d, d * (2 * d + 1), (2 * d + 1), o);
l[1] = L(d, d * 2, d * 2, o);
l[2] = L(d, d * 4, d * 2, o);
l[3] = L(d, d * (2 * d + 1), (2 * d + 1), o);
l[4] = L(d, o);
l[5] = L(d, d * 4, o);
return Enumerable.Range(0, sizeOfGenePool).Select(n => new NetworkParameters(l[n], activator)
{
LearningRate = _learningRate
});
}
public transferFunc(ActivatorFunc?_tF)
{
tF = _tF ?? ActivatorFunc.Sigmoid;
}
