public MLP(IActivation activationFunction, params int[] numNeuronInLayers)
{
if (numNeuronInLayers == null || numNeuronInLayers.Length < 2)
throw new ArgumentException("At Least 2 Layers should have neuron count.");
//input layer
var il = new InputLayer(numNeuronInLayers[0]);
//hidden layer with bias
var layers = numNeuronInLayers.Skip(1).Take(numNeuronInLayers.Length - 2).
Select(numNeuronInLayer => new PerceptronLayer(numNeuronInLayer, activationFunction)).
Cast<INodeLayer>().ToList();
//output layer without bias
layers.Add(new PerceptronLayer(numNeuronInLayers.Last(), activationFunction, false));
Create(il, layers.ToArray());
}
public MLP(int numberOfInputs, params Tuple<int, IActivation>[] neuronCountActivationFunctionPack)
{
if (neuronCountActivationFunctionPack == null || neuronCountActivationFunctionPack.Length < 1)
throw new ArgumentException("At Least 1 output Layer should be specified.");
//input layer
var il = new InputLayer(numberOfInputs);
//hidden layer with bias
var layers = neuronCountActivationFunctionPack.Take(neuronCountActivationFunctionPack.Length - 1).
Select(tuple => new PerceptronLayer(tuple.Item1, tuple.Item2)).
Cast<INodeLayer>().ToList();
//output layer without bias
var lastLayerTuple = neuronCountActivationFunctionPack.Last();
layers.Add(new PerceptronLayer(lastLayerTuple.Item1, lastLayerTuple.Item2, false));
Create(il, layers.ToArray());
}
public MLP(InputLayer inputLayer, INodeLayer[] layers)
{
Create(inputLayer, layers);
}
private void Create(InputLayer inputLayer, INodeLayer[] layers)
{
NodeLayers = new INodeLayer[layers.Length + 1];
ConnectionLayers = new List<IConnectionLayer>();
var nodes = new List<List<INode>>();
NumberOfInputs = inputLayer.Input.Length;
NumberOfOutputs = layers.Last().Output.Length;
NodeLayers[0] = inputLayer;
nodes.Add(inputLayer.Nodes);
for (int i = 0; i < layers.Length; i++)
{
var ih = layers[i];
NodeLayers[i+1] = ih;
nodes.Add(ih.Nodes);
}
for (var i = 0; i < NodeLayers.Length - 1; i++)
{
var cl = new LinearWeightLayer(NodeLayers[i], NodeLayers[i + 1]);
ConnectionLayers.Add(cl);
}
StagedNodes = nodes.Select(n => n.ToArray()).ToArray();
Nodes = nodes.SelectMany(s => s).ToList();
}
