virtual public void Serialize(Archive ar)
{
if (ar.IsStoring())
{
// TODO: add storing code here
ar.Write(m_etaLearningRate);
ar.Write(m_Layers.Count);
foreach (var lit in m_Layers)
{
lit.Serialize(ar);
}
}
else
{
// TODO: add loading code here
double eta;
ar.Read(out eta);
m_etaLearningRate = eta; // two-step storage is needed since m_etaLearningRate is "volatile"
int nLayers;
var pLayer = (NNLayer)null;
ar.Read(out nLayers);
m_Layers.Clear();
m_Layers = new NNLayerList(nLayers);
for (int ii = 0; ii < nLayers; ii++)
{
pLayer = new NNLayer("", pLayer);
m_Layers.Add(pLayer);
pLayer.Serialize(ar);
}
}
}
public NNLayer(string str, NNLayer pPrev /* =NULL */)
{
label = str;
m_pPrevLayer = pPrev;
m_sigmoid = new SigmoidFunction();
m_Weights = new NNWeightList();
m_Neurons = new NNNeuronList();
}
bool m_bFloatingPointWarning; // flag for one-time warning (per layer) about potential floating point overflow
public NNLayer()
{
label = "";
m_pPrevLayer = null;
m_sigmoid = new SigmoidFunction();
m_Weights = new NNWeightList();
m_Neurons = new NNNeuronList();
Initialize();
}
