public MyRBMAgent(MyAbstractFeedForwardNode network, int nGPU, MyMemoryBlock <float> labelInput, uint learningDuration)
: base(network)
{
layers = new List <MyAbstractFBLayer>();
foreach (MyAbstractFBLayer l in network.Layers)
{
MyNeuronLayer nl = l as MyNeuronLayer;
if (nl != null)
{
layers.Add(nl);
}
MyNeuronCopyLayer ncl = l as MyNeuronCopyLayer;
if (ncl != null)
{
layers.Add(ncl);
}
}
totalSteps = (int)learningDuration * (layers.Count - 1);
}
private MyAbstractWeightLayer BuildNetworkLayerNeuronCopy(XmlNode layerItem)
{
uint nbNeurons = 0;
bool nbNeuronsMissing = true;
// Parse
foreach (XmlAttribute layerAttribute in layerItem.Attributes)
{
switch (layerAttribute.Name)
{
case "nbneurons":
nbNeurons = uint.Parse(layerAttribute.Value);
nbNeuronsMissing = false;
break;
default:
throw new MyXMLBuilderException("Unknown attribute: " + layerAttribute.Name);
}
}
// Validate values
if (nbNeuronsMissing)
{
throw new MyXMLBuilderException("Missing nbNeurons parameter");
}
if (nbNeurons == 0)
{
throw new MyXMLBuilderException("Must have at least 1 neuron");
}
// Success!
float[] initialWeight = null;
float[] initialBias = null;
MyAbstractWeightLayer layer = new MyNeuronCopyLayer(m_network, nbNeurons, initialWeight, initialBias);
m_network.AddLayer(layer);
return(layer);
}