/// <summary>
/// makes copy of layer of neurons
/// </summary>
/// <param name="copyNode"></param>
/// <param name="topInputNode"></param>
/// <param name="outputLength"></param>
/// <param name="makeOnesArray"></param>
internal LayerOfNeurons(ref LayerOfNeurons copyNode, ref AbstractNode topInputNode)
{
bool hasOnesArray = true;
if (copyNode.BottomInputNode == null)
{
hasOnesArray = false;
}
this.initializer(ref topInputNode, copyNode.OutputArray.Length, copyNode.ActivationFunction, hasOnesArray);
this.copyWeights(ref copyNode);
}
/// <summary>
/// copies over the weights from copyNode to this node
/// </summary>
/// <param name="copyNode"></param>
private void copyWeights(ref LayerOfNeurons copyNode)
{
this.TopInputWeights = new double[copyNode.TopInputNode.OutputArray.Length, copyNode.OutputArray.Length];
copyArray(this.TopInputWeights, copyNode.TopInputWeights, copyNode.TopInputNode.OutputArray.Length, copyNode.OutputArray.Length);
if (this.onesInputWeights != null)
{
this.onesInputWeights = new double[copyNode.onesInputWeights.Length];
copyArray(this.onesInputWeights, copyNode.onesInputWeights);
}
else if (this.BottomInputNode != null)
{
this.BottomInputWeights = new double[copyNode.BottomInputNode.OutputArray.Length, copyNode.OutputArray.Length];
copyArray(this.BottomInputWeights, copyNode.BottomInputWeights, copyNode.BottomInputNode.OutputArray.Length, copyNode.OutputArray.Length);
}
}
/// <summary>
/// makes copy of layer of neurons
/// </summary>
/// <param name="copyNode"></param>
/// <param name="topInputNode"></param>
/// <param name="bottomInputNode"></param>
/// <param name="activationFun"></param>
internal LayerOfNeurons(ref LayerOfNeurons copyNode, ref AbstractNode topInputNode, ref AbstractNode bottomInputNode)
{
this.initializer(ref topInputNode, ref bottomInputNode, copyNode.OutputArray.Length, copyNode.ActivationFunction);
this.copyWeights(ref copyNode);
}
