public Layer(int number, int neuronsCount, int previousLayerNeuronsCount, SigmoidFunction sigmoid, bool isLastLayer = false)
{
this.Number = number;
if (!isLastLayer)
{
neuronsCount++;
}
this.GenerateLayerNeurons(neuronsCount, previousLayerNeuronsCount, sigmoid, isLastLayer);
}
public Neuron(int index, int numberOfConnections, SigmoidFunction function, bool isbias, bool isFirstLayer = false)
{
this.ActivationFunction = function;
this.NumberConnections = numberOfConnections;
this.Index = index;
this.IsFirstLayerNeuron = isFirstLayer;
this.IsBias = isbias;
this.LoadWeightsConfigurations();
if (!IsFirstLayerNeuron)
{
this.Weights = new double[NumberConnections];
this.Randomize();
}
}
private void GenerateLayerNeurons(int neuronsCount, int previousLayerNeuronsCount, SigmoidFunction sigmoid, bool isLastLayer)
{
var maxIndex = neuronsCount;
var isFirstLayer = this.Number == 1;
if (!isLastLayer)
{
var biasNeuron = new Neuron(0, previousLayerNeuronsCount, sigmoid, true, isFirstLayer);
this.Neurons.Add(biasNeuron);
maxIndex--;
}
for (var i = 0; i < maxIndex; i++)
{
var neuron = new Neuron(i + 1, previousLayerNeuronsCount, sigmoid, false, isFirstLayer);
this.Neurons.Add(neuron);
}
}