/// <summary>
/// Set new activation function for all neurons of the layer.
/// </summary>
///
/// <param name="function">Activation function to set.</param>
///
/// <remarks><para>The methods sets new activation function for each neuron by setting
/// their <see cref="ActivationNeuron.ActivationFunction"/> property.</para></remarks>
///
public void SetActivationFunction(IActivationEquation function)
{
Equation = function;
for (int i = 0; i < Neurons.Length; i++)
{
Neurons[i].SetActivationEquation(ref function);
}
}
/// <summary>
///
/// </summary>
/// <param name="function"></param>
public void SetActivationFunction(IActivationEquation function)
{
ActivationEquation = function;
for (int i = 0; i < NbLayers; i++)
{
if (function is ReLuActivation)
{
if (i == NbLayers - 1)
{
Layers[i].SetActivationFunction(new SoftMaxActivation());
}
}
else
{
Layers[i].SetActivationFunction(function);
}
}
}
public Neuron(IActivationEquation equation, int nConnection = 0)
{
Equation = equation;
Weights = new double[nConnection];
Randomize();
}
public void SetActivationEquation(ref IActivationEquation a)
{
Equation = a;
}
/// <summary>
///
/// </summary>
/// <param name="nbNeurons"></param>
/// <param name="nConnections"></param>
/// <param name="equation"></param>
public Layer(int nbNeurons, int nConnections, IActivationEquation equation)
{
Equation = equation;
Neurons = new Neuron[nbNeurons];
InitialiserNeurons(nConnections);
}
