/// <summary>
/// Construct a deep belief neural network.
/// </summary>
/// <param name="inputCount">The input count.</param>
/// <param name="hidden">The counts for the hidden layers.</param>
/// <param name="outputCount">The output neuron count.</param>
public DeepBeliefNetwork(int inputCount, int[] hidden, int outputCount)
{
int inputSize;
_layers = new HiddenLayer[hidden.Length];
_rbm = new RestrictedBoltzmannMachine[hidden.Length];
for (var i = 0; i < _rbm.Length; i++)
{
if (i == 0)
{
inputSize = inputCount;
}
else
{
inputSize = hidden[i - 1];
}
_layers[i] = new HiddenLayer(this, inputSize, hidden[i]);
_rbm[i] = new RestrictedBoltzmannMachine(_layers[i]);
}
_outputLayer = new DeepLayer(this, hidden[_layers.Length - 1], outputCount);
Random = new MersenneTwisterGenerateRandom();
}
/// <summary>
/// Construct a deep belief neural network.
/// </summary>
/// <param name="inputCount">The input count.</param>
/// <param name="hidden">The counts for the hidden layers.</param>
/// <param name="outputCount">The output neuron count.</param>
public DeepBeliefNetwork(int inputCount, int[] hidden, int outputCount)
{
int inputSize;
_layers = new HiddenLayer[hidden.Length];
_rbm = new RestrictedBoltzmannMachine[hidden.Length];
for (var i = 0; i < _rbm.Length; i++)
{
if (i == 0)
{
inputSize = inputCount;
}
else
{
inputSize = hidden[i - 1];
}
_layers[i] = new HiddenLayer(this, inputSize, hidden[i]);
_rbm[i] = new RestrictedBoltzmannMachine(_layers[i]);
}
_outputLayer = new DeepLayer(this, hidden[_layers.Length - 1], outputCount);
Random = new MersenneTwisterGenerateRandom();
}
/// <summary>
/// Construct restricted Boltzmann machine.
/// </summary>
/// <param name="theLayer">The layer that this RBM works with.</param>
public RestrictedBoltzmannMachine(HiddenLayer theLayer)
{
_layer = theLayer;
_owner = theLayer.Owner;
_hBias = _layer.Bias;
_vBias = new double[VisibleCount];
}
/// <summary>
/// Construct restricted Boltzmann machine.
/// </summary>
/// <param name="theLayer">The layer that this RBM works with.</param>
public RestrictedBoltzmannMachine(HiddenLayer theLayer)
{
_layer = theLayer;
_owner = theLayer.Owner;
_hBias = _layer.Bias;
_vBias = new double[VisibleCount];
}
/// <summary>
/// Randomize the weights of the neural network.
/// </summary>
public void Reset()
{
for (int i = 0; i < _rbm.Length; i++)
{
HiddenLayer layer = _layers[i];
double a = 1.0 / layer.InputCount;
for (int j = 0; j < layer.OutputCount; j++)
{
for (int k = 0; k < layer.InputCount; k++)
{
layer.Weights[j][k] = Random.NextDouble(-a, a);
}
}
}
}
