private void UpdateLayer(int PWhichLayer, bool PForward, AutoencoderWeights PWeights)
{
int beginlayer = PWhichLayer - 1;
if (PForward)
{
Utility.WithinBounds("Cannot update this layer!!!", PWhichLayer, 1, numlayers);
}
else
{
Utility.WithinBounds("Cannot update this layer!!!", PWhichLayer, 0, numlayers - 1);
beginlayer = PWhichLayer + 1;
}
RBMLayer thislayer = layers[PWhichLayer];
RBMLayer previouslayer = layers[beginlayer];
double input = 0;
double[] states = previouslayer.GetStates();
for (int i = 0; i < thislayer.Count; i++)
{
for (int j = 0; j < previouslayer.Count; j++)
{
if (!PForward)
{
input += PWeights.GetWeightSet(beginlayer - 1).GetWeight(i, j) * states[j];
}
else
{
input += PWeights.GetWeightSet(beginlayer).GetWeight(j, i) * states[j];
}
}
thislayer.SetState(i, input);
input = 0;
}
}
private void UpdateVisibles()
{
double input = 0;
double[] states = hiddens.GetStates();
for (int i = 0; i < numvisibles; i++)
{
for (int j = 0; j < numhiddens; j++)
{
input += weights.GetWeight(i, j) * states[j];
}
visibles.SetState(i, input);
input = 0;
}
}
private void UpdateLayerBackwardPreTrain(int PWhich)
{
Utility.WithinBounds("Cannot update this layer!!!", PWhich, numlayers - 1);
RBMLayer thislayer = layers[PWhich];
RBMLayer nextlayer = layers[PWhich + 1];
double input = 0;
double[] states = nextlayer.GetStates();
for (int i = 0; i < thislayer.Count; i++)
{
for (int j = 0; j < nextlayer.Count; j++)
{
input += recognitionweights.GetWeightSet(PWhich).GetWeight(i, j) * states[j];
}
thislayer.SetState(i, input);
input = 0;
}
}
