public static INetwork BuildFFN(NetworkSettings settings, HiddenLayerSettings hiddenSettings)
{
Network ffn = new Network(settings);
ffn.BuildInputNeurons(settings);
ffn.HiddenLayers = ffn.BuildHiddenLayers(ffn.InputNeurons, hiddenSettings);
ffn.BuildOutputNeurons(ffn.HiddenLayers.Last(), settings.OutputNeuronsCount, settings.OutputLayerFunction);
return(ffn);
}
public static INetwork BuildRNN(NetworkSettings settings, HiddenLayerSettings hiddenSettings)
{
Network rnn = new Network(settings);
rnn.BuildInputNeurons(settings);
rnn.HiddenLayers = rnn.BuildHiddenLayers(rnn.InputNeurons, hiddenSettings);
var prevLayer = rnn.BuildOutputNeurons(rnn.HiddenLayers.Last(), settings.OutputNeuronsCount, settings.OutputLayerFunction);
var outputLayer = rnn.BuildInputNeurons(settings, 1);
var prevLayerEnumerator = prevLayer.GetEnumerator();
var outputLayerEnumerator = outputLayer.GetEnumerator();
while (prevLayerEnumerator.MoveNext())
{
outputLayerEnumerator.MoveNext();
rnn.ConnectAxon(prevLayerEnumerator.Current, outputLayerEnumerator.Current, settings.OutputNeuronsCount);
}
return(rnn);
}
public static INetwork BuildLSTM(NetworkSettings settings, CellLayerSettings lstmSettings, HiddenLayerSettings prevHiddenSettings, HiddenLayerSettings lastHiddenSettings)
{
Network lstm = new Network(settings);
IEnumerable <INeuron> prevLayer = lstm.BuildInputNeurons(settings);
if (prevHiddenSettings != null)
{
lstm.HiddenLayers = lstm.BuildHiddenLayers(prevLayer, prevHiddenSettings);
}
if (lstm.HiddenLayers != null)
{
prevLayer = lstm.HiddenLayers.Last();
}
else
{
lstm.HiddenLayers = new List <ICollection <IHiddenNeuron> >();
prevLayer = lstm.InputNeurons;
}
var lstmLayers = lstm.BuildLSTMCells(prevLayer, lstmSettings);
foreach (ICollection <IHiddenNeuron> layer in lstmLayers)
{
lstm.HiddenLayers.Add(layer);
prevLayer = layer;
}
if (lastHiddenSettings != null)
{
var hiddenLayers = lstm.BuildHiddenLayers(prevLayer, lastHiddenSettings);
foreach (ICollection <IHiddenNeuron> layer in hiddenLayers)
{
lstm.HiddenLayers.Add(layer);
}
}
return(lstm);
}
