RBM.cs

public class RBM
{
    private HiddenLayer _hiddenLayer;
    private VisibleLayer _visibleLayer;
    private float _learningRate;

    public RBM(int hiddenLayerSize, int visibleLayerSize, float learningRate)
    {
        _learningRate = learningRate;
        _hiddenLayer = new HiddenLayer(hiddenLayerSize);
        _visibleLayer = new VisibleLayer(visibleLayerSize);

        _visibleLayer.ConnectLayers(_hiddenLayer);
    }

    public void Train(bool[][] input, int numberOfIterations)
    {
        for (int n = 0; n < numberOfIterations; n++)
        {
            for (int i = 0; i < input.GetLength(1); i++)
            {
                _visibleLayer.PushValuesToInput(input[i]);
                _hiddenLayer.CalculateState();
                _visibleLayer.CalculateCDState();
                _hiddenLayer.CalculateCDState();

                UpdateWeights();
            }
        }
    }

    private void UpdateWeights()
    {
        foreach(var inputNeuron in _visibleLayer.Neurons)
        {
            inputNeuron.Outputs.ForEach(x => x.UpdateWeight(_learningRate));
        }
    }
}