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);
}