public void AddLayer(NeuralLayer newLayer)
{
if (_layers.Any())
{
var lastLayer = _layers.Last();
newLayer.ConnectLayers(lastLayer);
}
_layers.Add(newLayer);
}
/// <summary>
/// Add layer to the neural network.
/// Layer will automatically be added as the output layer to the last layer in the neural network.
/// </summary>
public void AddLayer(NeuralLayer newLayer)
{
if (_layers.Any())
{
var lastLayer = _layers.Last();
newLayer.ConnectLayers(lastLayer);
}
_layers.Add(newLayer);
_neuronErrors.Add(_layers.Count - 1, new double[newLayer.Neurons.Count]);
}
public void ConnectLayers_ConnectingLayers_ConnectionsAdded()
{
var inputNeuron = new Mock <INeuron>();
var outputNeuron = new Mock <INeuron>();
inputNeuron.Setup(x => x.AddOutputNeuron(It.IsAny <INeuron>())).Verifiable();
outputNeuron.Setup(x => x.AddInputNeuron(It.IsAny <INeuron>())).Verifiable();
var inputNeuralLayer = new NeuralLayer();
var outputNeuralLayer = new NeuralLayer();
inputNeuralLayer.Neurons.Add(inputNeuron.Object);
outputNeuralLayer.Neurons.Add(outputNeuron.Object);
outputNeuralLayer.ConnectLayers(inputNeuralLayer);
outputNeuron.Verify(x => x.AddInputNeuron(It.Is <INeuron>(n => n == inputNeuron.Object)));
}
