public OutputLayer Clone()
{
Unit[] outputLayer = UnitFactory.GetVector(_outputSize);
Head[] heads = Head.GetVector(_headCount, i => _memoryUnitSizeM);
return(new OutputLayer(_hiddenToOutputLayerWeights, _hiddenToHeadsWeights, outputLayer, heads, _headCount, _outputSize, _controllerSize, _memoryUnitSizeM, _headUnitSize));
}
public HiddenLayer(int controllerSize, int inputSize, int headCount, int memoryUnitSizeM)
{
_controllerSize = controllerSize;
_inputSize = inputSize;
_headCount = headCount;
_memoryUnitSizeM = memoryUnitSizeM;
_activationFunction = new SigmoidActivationFunction();
_readDataToHiddenLayerWeights = UnitFactory.GetTensor3(controllerSize, headCount, memoryUnitSizeM);
_inputToHiddenLayerWeights = UnitFactory.GetTensor2(controllerSize, inputSize);
_hiddenLayerThresholds = UnitFactory.GetVector(controllerSize);
}
public HiddenLayer Clone()
{
return(new HiddenLayer(_readDataToHiddenLayerWeights, _inputToHiddenLayerWeights,
_hiddenLayerThresholds, UnitFactory.GetVector(_controllerSize),
_controllerSize, _inputSize, _headCount, _memoryUnitSizeM, _activationFunction));
}
