protected override void CreationCouche()
{
int IndexPoids;
var rdm = new Random();
if (NombreNeurones > 0 || neurones != null)
{
neurones = null;
NombreNeurones = 0;
}
if (NombrePoids > 0 || poids != null)
{
poids = null;
NombrePoids = 0;
}
if (CouchePrecedente != null)
{
NombreNeurones = nombreFeatureMaps * featureMapSize.Width * featureMapSize.Height;
neurones = new List <Neurone>();
poids = new List <Poids>();
for (int i = 0; i < NombreNeurones; i++)
{
String lb = String.Format("Layer {0}, Neuron {1}", Label, i);
neurones.Add(new Neurone(lb));
}
rdm = new Random();
NombrePoids = NombreNeurones * (CouchePrecedente.NombreNeurones + 1);
for (int j = 0; j < NombrePoids; j++)
{
String lb = String.Format("Layer {0}, Poids {1}", Label, j);
double initPoids = 0.05 * (2.0 * rdm.NextDouble() - 1.0);
poids.Add(new Poids(lb, initPoids));
}
IndexPoids = 0;
for (int j = 0; j < NombreNeurones; j++)
{
Neurone n = neurones[j];
int connCount = CouchePrecedente.NombreNeurones + 1;
n.nombreConnections = connCount;
n.AddConnection((uint)0xffffffff, (uint)IndexPoids); // Biais
for (int i = 0; i < CouchePrecedente.NombreNeurones; i++)
{
n.AddConnection((uint)i, (uint)IndexPoids++, (uint)i + 1);
}
}
}
}
protected override void CreationCouche()
{
int IndexPoids;
var rdm = new Random();
if (NombreNeurones > 0 || neurones != null)
{
neurones = null;
NombreNeurones = 0;
}
if (NombrePoids > 0 || poids != null)
{
poids = null;
NombrePoids = 0;
}
neurones = new List <Neurone>();
poids = new List <Poids>();
if (CouchePrecedente != null)
{
NombreNeurones = nombreFeatureMaps * featureMapSize.Width * featureMapSize.Height;
NombrePoids = nombreFeatureMaps * (kernelsize * kernelsize * CouchePrecedente.nombreFeatureMaps + 1);
for (int i = 0; i < NombreNeurones; i++)
{
String lb = String.Format("Layer {0} , Neuron {1}", Label, i);
neurones.Add(new Neurone(lb));
}
rdm = new Random();
for (int j = 0; j < NombrePoids; j++)
{
String lb = String.Format("Layer {0}, Poids {1}", Label, j);
double initPoids = 0.05 * (2.0 * rdm.NextDouble() - 1.0);
poids.Add(new Poids(lb, initPoids));
}
int[] kernelTemplate = CreateKernelTemplate(kernelsize, CouchePrecedente.featureMapSize.Width);
for (int indexFeatureMap = 0; indexFeatureMap < nombreFeatureMaps; indexFeatureMap++)
{
for (int hauteur = 0; hauteur < featureMapSize.Height; hauteur++)
{
for (int largeur = 0; largeur < featureMapSize.Width; largeur++)
{
IndexPoids = indexFeatureMap * ((int)Math.Pow(kernelsize, 2) * CouchePrecedente.nombreFeatureMaps + 1);
Neurone n = neurones[largeur + hauteur * featureMapSize.Width + indexFeatureMap * featureMapSize.Width * featureMapSize.Height];
int nombreConnection = ((kernelsize * kernelsize * CouchePrecedente.nombreFeatureMaps) + 1);
n.nombreConnections = nombreConnection;
// 26 connections
n.AddConnection((uint)0xffffffff, (uint)IndexPoids); // Biais
for (int k = 0; k < kernelsize * kernelsize; k++)
{
for (int l = 0; l < CouchePrecedente.nombreFeatureMaps; l++)
{
int iNeurons = (2 * largeur + (2 * hauteur * CouchePrecedente.featureMapSize.Width) + kernelTemplate[k] +
l * CouchePrecedente.featureMapSize.Width * CouchePrecedente.featureMapSize.Height);
int connID = 1 + l + k * CouchePrecedente.nombreFeatureMaps;
n.AddConnection((uint)iNeurons, (uint)IndexPoids++, (uint)connID);
// n.AddConnection((uint)iNeurons, (uint)IndexPoids++, connID);
}
}
}
}
}
}
}