/**
* Create a copy of the layer given in parameter,
* if mutate is true, apply mutations to the copy
*/
public Layer(Layer layer, bool mutate = true)
{
neurones = new Neurone[layer.Neurones.Length];
for (int i = 0; i < layer.Neurones.Length; ++i)
{
neurones[i] = new Neurone(layer.Neurones[i], mutate);
}
}
/**
* Create a new random layer of the given size
* Neurones of the layer have 'prev_size' weights,
* which is the size of the previous layer
*/
public Layer(int size, int prev_size)
{
neurones = new Neurone[size];
for (int i = 0; i < size; ++i)
{
neurones[i] = new Neurone(prev_size);
}
}
/**
* Create a copy of the neurone given in parameter
* if mutate is true, apply mutations the copy
*/
public Neurone(Neurone neurone, bool mutate = true)
{
value = 0;
weights = new double[neurone.weights.Length];
biais = neurone.biais;
for (int i = 0; i < weights.Length; ++i)
{
weights[i] = neurone.weights[i];
}
if (mutate)
{
Mutate();
}
}
/**
* Merge the neurone with the one given in parameter in place
* FIXME
*/
public void Mix(Neurone partner)
{
throw new NotImplementedException();
}
/**
* Merge the neurone with the one given in parameter in place
* FIXME
*/
public void Mix(Neurone partner)
{
}
