public NetLayer(int size, int inputsCount, double randMin, double randMax, ActivationFunctions.Func activationFunc)
{
this.neurons = new Neuron[size];
for (int i = 0; i < size; ++i)
{
neurons[i] = new Neuron(inputsCount, randMin, randMax, activationFunc);
}
}
public Neuron(int size, double weightMin, double weightMax, ActivationFunctions.Func activationFunc)
{
this.weightsVector = NetVector.Randomize(size + 1, weightMin, weightMax);
this.activationFunc = activationFunc;
}
public Neuron(NetVector weightsVector, ActivationFunctions.Func activationFunc)
{
this.weightsVector = weightsVector;
this.activationFunc = activationFunc;
}
