public ThreadedTrainer(Neural_Network network, Entery[] samples)
{
this.network = network;
this.samples = samples;
thread = new Thread(new ThreadStart(Train));
thread.Start();
}
public Layer(Neural_Network_Copy_Reference reference, int depth)
{
biases = (double[])Neural_Network.DeepClone(reference.biases[depth]);
weights = (double[, ])Neural_Network.DeepClone(reference.weights[depth]);
this.depth = ++depth;
if (depth < reference.biases.GetLength(0))
{
child = new Layer(reference, depth);
}
}
public Network_Pool(int count, int[] structure)
{
if (count % 2 != 0)
{
count++;
}
networks = new Neural_Network[count];
for (int i = 0; i < count; i++)
{
networks[i] = new Neural_Network(structure);
}
}
