/// <summary>
/// Copy the weights of another layer in reversed order. This
/// can be used to update visible layers from hidden layers and
/// vice-versa.
/// </summary>
///
/// <param name="layer">The layer to copy the weights from.</param>
///
public void CopyReversedWeightsFrom(StochasticLayer layer)
{
for (int i = 0; i < Neurons.Length; i++)
{
for (int j = 0; j < inputsCount; j++)
{
this.Neurons[i].Weights[j] = layer.Neurons[j].Weights[i];
}
}
}
/// <summary>
/// Copy the weights of another layer in reversed order. This
/// can be used to update visible layers from hidden layers and
/// vice-versa.
/// </summary>
///
/// <param name="layer">The layer to copy the weights from.</param>
///
public void CopyReversedWeightsFrom(StochasticLayer layer)
{
for (int i = 0; i < Neurons.Length; i++)
for (int j = 0; j < inputsCount; j++)
this.Neurons[i].Weights[j] = layer.Neurons[j].Weights[i];
}
/// <summary>
/// Creates a new <see cref="RestrictedBoltzmannMachine"/>.
/// </summary>
///
/// <param name="function">The activation function to use in the network neurons.</param>
/// <param name="inputsCount">The number of inputs for the machine.</param>
/// <param name="hiddenNeurons">The number of hidden neurons in the machine.</param>
///
public RestrictedBoltzmannMachine(IStochasticFunction function, int inputsCount, int hiddenNeurons)
: base(function, inputsCount, 1)
{
this.visible = new StochasticLayer(function, inputsCount, hiddenNeurons);
this.hidden = new StochasticLayer(function, hiddenNeurons, inputsCount);
base.layers[0] = hidden;
}
/// <summary>
/// Copy the weights of another layer in reversed order. This
/// can be used to update visible layers from hidden layers and
/// vice-versa.
/// </summary>
///
/// <param name="layer">The layer to copy the weights from.</param>
///
public void CopyReversedWeightsFrom(StochasticLayer layer)
{
int hiddenNeurons = Neurons.Length;
int visibleNeurons = inputsCount;
for (int i = 0; i < hiddenNeurons; i++)
for (int j = 0; j < inputsCount; j++)
this.Neurons[i].Weights[j] = layer.Neurons[j].Weights[i];
}
/// <summary>
/// Creates a new <see cref="RestrictedBoltzmannMachine"/>.
/// </summary>
///
/// <param name="hidden">The hidden layer to be added in the machine.</param>
/// <param name="visible">The visible layer to be added in the machine.</param>
///
public RestrictedBoltzmannMachine(StochasticLayer hidden, StochasticLayer visible)
: base(null, hidden.InputsCount, 0)
{
this.hidden = hidden;
this.visible = visible;
base.layers[0] = hidden;
}
