public NNet InitializeCopy(int hiddenLayerCount, int hiddenNeuronCount)
{
NNet net = new NNet();
List <Matrix <float> > newWeights = new List <Matrix <float> >();
for (int i = 0; i < this.weights.Count; i++)
{
Matrix <float> currentWeight = Matrix <float> .Build.Dense(weights[i].RowCount, weights[i].ColumnCount);
for (int x = 0; x < currentWeight.RowCount; x++)
{
for (int y = 0; y < currentWeight.ColumnCount; y++)
{
currentWeight[x, y] = weights[i][x, y];
}
}
newWeights.Add(currentWeight);
}
List <float> newBiases = new List <float>();
newBiases.AddRange(biases);
net.weights = newWeights;
net.biases = newBiases;
net.InitializeHidden(hiddenLayerCount, hiddenNeuronCount);
return(net);
}