private void UpdateWeightsIndividual(ref Matrix<double> localHL, ref Matrix<double> localOL, Vector<double> sample, Vector<double> target)
{
var hlOut = Sigmoid(localHL.LeftMultiply(sample));
hlOut = Prepend(1, hlOut);
var v = Sigmoid(localOL.LeftMultiply(hlOut));
var deltaOL = v.Subtract(target).PointwiseMultiply(v).PointwiseMultiply(OneMinusV(v));
var deltaHL = localOL.Transpose().LeftMultiply(deltaOL).PointwiseMultiply(hlOut).PointwiseMultiply(OneMinusV(hlOut));
var tmp = deltaOL.Multiply(LearningRate).ToColumnMatrix();
localOL = localOL.Subtract(tmp.Multiply(hlOut.ToRowMatrix()).Transpose());
tmp = deltaHL.SubVector(1, deltaHL.Count - 1).ToColumnMatrix();
tmp = tmp.Multiply(LearningRate);
localHL = localHL.Subtract(tmp.Multiply(sample.ToRowMatrix()).Transpose());
}