private void ComputeTotalGradient(Gradients totalGradients, Gradients partialGradients,
SetOfIOPairs trainingSet)
{
totalGradients.ResetGradients();
foreach (SetOfIOPairs.IOPair pair in trainingSet.Pairs)
{
ComputeGradient(partialGradients, pair.Inputs, pair.Outputs);
for (int i = NumberOfLayers() - 1; i >= 1; i--)
{
NeuralLayer currentLayer = GetLayer(i);
for (int j = 0; j < currentLayer.NumberOfNeurons(); j++)
{
totalGradients.IncrementThreshold(i, j, partialGradients.GetThreshold(i, j));
for (int k = 0; k < currentLayer.LowerLayer().NumberOfNeurons(); k++)
{
totalGradients.IncrementWeight(i, j, k, partialGradients.GetWeight(i, j, k));
}
}
}
}
}
