public Vector Run(Vector input, LstmGatesForLayer gatesLayer)
{
Input = input;
var lastOutput = input;
for (var cellNumber = 0; cellNumber < Cells.Count; cellNumber++)
{
var cell = Cells[cellNumber];
var gatesForCell = gatesLayer[cellNumber];
lastOutput = cell.CalculateAndGetOutput(lastOutput, gatesForCell);
}
Output = lastOutput;
return(Output);
}
public (Vector error, Vector[] diffsOutput, Vector[] diffsForget) Learn(Vector actual, Vector ideal,
Vector[] diffsOutputFromNext, Vector[] diffsForgetFromNext, LstmGatesForLayer gatesLayer)
{
var diffsOutput = new Vector[Cells.Count];
var diffsForget = new Vector[Cells.Count];
var error = ideal is null
? null
: ((actual - ideal) ^ 2) * 0.5;
var diffInputFromNextCell = ideal is null
? new Vector(Cells.Last().Output.Length)
: actual - ideal;
for (var i = Cells.Count - 1; i >= 0; i--)
{
var diffOutputFromNextLayer = diffsOutputFromNext[i];
var diffForgetFromNextLayer = diffsForgetFromNext[i];
var gatesForCell = gatesLayer[i];
(diffsOutput[i], diffsForget[i], diffInputFromNextCell) = Cells[i].Learn(diffInputFromNextCell, diffOutputFromNextLayer,
diffForgetFromNextLayer, gatesForCell);
}
return(error, diffsOutput, diffsForget);
}
