/// <summary>Backpropagates the given error trough the network.</summary>
/// <param name="outputErrorArray">The output error to be backpropagated.</param>
/// <param name="outputErrorSkip">The index of the first entry of the output error array to be used.</param>
/// <param name="learning">Whether the network is being used in a training session.</param>
public void BackPropagate(float[] outputErrorArray, int outputErrorSkip, bool learning = true)
{
Backbone.CopyArray(outputErrorArray, outputErrorSkip, this.error2, 0, this.OutputSize);
for (int i = this.Layers.Count - 1; i >= 0; i -= 1)
{
this.Layers.ElementAt(i).BackPropagate(this.error2, this.error1, learning);
float[] aux = this.error1;
this.error1 = this.error2;
this.error2 = aux;
}
}
/// <summary>Backpropagates the given error trough the network.</summary>
/// <param name="outputErrorArray">The output error to be backpropagated.</param>
/// <param name="outputErrorSkip">The index of the first entry of the output error to be used.</param>
/// <param name="inputErrorArray">The array to be written the input error into.</param>
/// <param name="inputErrorSkip">The index of the first entry of the output error array to be used.</param>
/// <param name="learning">Whether the network is being used in a training session.</param>
public void BackPropagate(float[] outputErrorArray, int outputErrorSkip, float[] inputErrorArray, int inputErrorSkip, bool learning)
{
this.BackPropagate(outputErrorArray, outputErrorSkip, learning);
Backbone.CopyArray(this.error2, 0, inputErrorArray, inputErrorSkip, this.InputSize);
}
