/// <summary>
/// Construct the gradient calculation class.
/// </summary>
/// <param name="theNetwork">The network to use.</param>
/// <param name="ef">The error function to use.</param>
/// <param name="theOwner">The owner (usually a trainer).</param>
public GradientCalc(BasicNetwork theNetwork,
IErrorFunction ef, IGradientCalcOwner theOwner)
{
_network = theNetwork;
errorFunction = ef;
_layerDelta = new double[_network.LayerOutput.Length];
_gradients = new double[_network.Weights.Length];
_actual = new double[_network.OutputCount];
_weights = _network.Weights;
_layerOutput = _network.LayerOutput;
_layerSums = _network.LayerSums;
_owner = theOwner;
}
/// <summary>
/// Construct the gradient calculation class.
/// </summary>
/// <param name="theNetwork">The network to use.</param>
/// <param name="ef">The error function to use.</param>
/// <param name="theOwner">The owner (usually a trainer).</param>
public GradientCalc(BasicNetwork theNetwork,
IErrorFunction ef, IGradientCalcOwner theOwner)
{
_network = theNetwork;
errorFunction = ef;
_layerDelta = new double[_network.LayerOutput.Length];
_gradients = new double[_network.Weights.Length];
_actual = new double[_network.OutputCount];
_weights = _network.Weights;
_layerOutput = _network.LayerOutput;
_layerSums = _network.LayerSums;
_owner = theOwner;
}
