public void ShowDetails(Layer layer)
{
this.Show();
this.BringToFront();
this.m_layer = layer;
lbType.Text = "Type: " + layer.GetType().Name;
lbInputs.Text = "Inputs: " + layer.InputsCount;
lbOutput.Text = "Outputs: " + layer.NeuronsCount;
lbNeuron.Text = "Neurons: " + layer.NeuronsCount;
}
/// <summary>
/// Creates a new <see cref="DeepBeliefNetwork"/>.
/// </summary>
///
/// <param name="function">The activation function to be used in the network neurons.</param>
/// <param name="inputsCount">The number of inputs for the network.</param>
/// <param name="hiddenNeurons">The number of hidden neurons in each layer.</param>
///
public DeepBeliefNetwork(IStochasticFunction function, int inputsCount, params int[] hiddenNeurons)
: base(function, inputsCount, hiddenNeurons)
{
machines = new List<RestrictedBoltzmannMachine>();
// Create first layer
machines.Add(new RestrictedBoltzmannMachine(
hidden: new StochasticLayer(function, hiddenNeurons[0], inputsCount),
visible: new StochasticLayer(function, inputsCount, hiddenNeurons[0]))
);
// Create other layers
for (int i = 1; i < hiddenNeurons.Length; i++)
{
machines.Add(new RestrictedBoltzmannMachine(
hidden: new StochasticLayer(function, hiddenNeurons[i], hiddenNeurons[i - 1]),
visible: new StochasticLayer(function, hiddenNeurons[i - 1], hiddenNeurons[i])));
}
// Override AForge layers
layers = new Layer[machines.Count];
for (int i = 0; i < layers.Length; i++)
layers[i] = machines[i].Hidden;
}
/// <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 AForge layers
layers = new Layer[machines.Count];
for (int i = 0; i < layers.Length; i++)
layers[i] = machines[i].Hidden;
}
/// <summary>
/// Removes the last layer from the network.
/// </summary>
///
public void Pop()
{
if (machines.Count == 0)
return;
machines.RemoveAt(machines.Count - 1);
// Override AForge layers
layers = new Layer[machines.Count];
for (int i = 0; i < layers.Length; i++)
layers[i] = machines[i].Hidden;
}
/// <summary>
/// Inserts a new layer at the end of this network.
/// </summary>
///
/// <param name="neurons">The number of neurons in the layer.</param>
/// <param name="visibleFunction">The activation function which should be used by the visible neurons.</param>
/// <param name="hiddenFunction">The activation function which should be used by the hidden neurons.</param>
///
public void Push(int neurons, IStochasticFunction visibleFunction, IStochasticFunction hiddenFunction)
{
int lastLayerNeurons;
if (machines.Count > 0)
lastLayerNeurons = machines[machines.Count - 1].Hidden.Neurons.Length;
else lastLayerNeurons = inputsCount;
machines.Add(new RestrictedBoltzmannMachine(
hidden: new StochasticLayer(hiddenFunction, neurons, lastLayerNeurons),
visible: new StochasticLayer(visibleFunction, lastLayerNeurons, neurons)));
// Override AForge layers
layers = new Layer[machines.Count];
for (int i = 0; i < layers.Length; i++)
layers[i] = machines[i].Hidden;
}
