Exemple #1
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 /// <summary>Backpropagates the given error trough the layer.</summary>
 /// <param name="outputErrorArray">The output error to be backpropagated.</param>
 /// <param name="outputErrorSkip">The index of the first position of the output error array 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 position of the input error array to be used.</param>
 /// <param name="learning"></param>
 public override void BackPropagate(float[] outputErrorArray, int outputErrorSkip, float[] inputErrorArray, int inputErrorSkip, bool learning)
 {
     Backbone.BackpropagateBiasedConnectionMatrix(this.Input, this.InputSkip, this.InputSize, this.Output, this.OutputSkip, this.OutputSize, this.Weights, this.biases, outputErrorArray, outputErrorSkip, inputErrorArray, inputErrorSkip, this.Gradients, this.biasGradients, learning);
 }