public void SetActivation(string activationType)
{
if (activationType == "tanh")
{
Activation = Activations.Tanh();
}
else if (activationType == "tanhAbs")
{
Activation = Activations.TanhAbs();
}
else if (activationType == "sigmoid")
{
Activation = Activations.Sigmoid();
}
else if (activationType == "sin")
{
Activation = Activations.Sin();
}
else if (activationType == "fract")
{
Activation = Activations.Fract();
}
else if (activationType == "rescale")
{
Activation = Activations.Rescale();
}
else if (activationType == "downscale")
{
Activation = Activations.Downscale();
}
else if (activationType == "gaussian")
{
Activation = Activations.Gaussian();
}
else if (activationType == "square")
{
Activation = Activations.Square();
}
else if (activationType == "abs")
{
Activation = Activations.Abs();
}
else if (activationType == "cos")
{
Activation = Activations.Cos();
}
else if (activationType == "linear")
{
Activation = Activations.Linear();
}
else if (activationType == "random")
{
Activation = Activations.Random();
}
}
private KerasSymbol _Call(KerasSymbol x)
{
switch (activation)
{
case "elu":
return(Activations.Elu(x));
case "exp":
return(Activations.Exponential(x));
case "hard_sigmoid":
return(Activations.HardSigmoid(x));
case "linear":
return(Activations.Linear(x));
case "relu":
return(Activations.Relu(x));
case "selu":
return(Activations.Selu(x));
case "sigmoid":
return(Activations.Sigmoid(x));
case "softmax":
return(Activations.Softmax(x));
case "softplus":
return(Activations.Softplus(x));
case "softsign":
return(Activations.Softsign(x));
case "tanh":
return(Activations.Tanh(x));
default:
break;
}
return(Activations.Linear(x));
}
