/// <summary>
/// Constructs a Gaussian-Bernoulli network with
/// visible Gaussian units and hidden Bernoulli units.
/// </summary>
///
/// <param name="inputsCount">The number of inputs for the machine.</param>
/// <param name="hiddenNeurons">The number of hidden neurons in the machine.</param>
///
/// <returns>A Gaussian-Bernoulli Restricted Boltzmann Machine</returns>
///
public static RestrictedBoltzmannMachine CreateGaussianBernoulli(int inputsCount, int hiddenNeurons)
{
RestrictedBoltzmannMachine network = new RestrictedBoltzmannMachine(inputsCount, hiddenNeurons);
foreach (var neuron in network.Visible.Neurons)
{
neuron.ActivationFunction = new GaussianFunction();
}
return(network);
}
/// <summary>
/// Stacks a new Boltzmann Machine at the end of this network.
/// </summary>
///
/// <param name="network">The machine to be added to the network.</param>
///
public void Push(RestrictedBoltzmannMachine network)
{
int lastLayerNeurons;
if (machines.Count > 0)
{
lastLayerNeurons = machines[machines.Count - 1].Hidden.Neurons.Length;
}
else
{
lastLayerNeurons = inputsCount;
}
machines.Add(network);
// Override BestCS layers
layers = new Layer[machines.Count];
for (int i = 0; i < layers.Length; i++)
{
layers[i] = machines[i].Hidden;
}
}
