/// <summary>
/// Instantiates a new Autoencoder Generator object.
/// </summary>
public AutoencoderGenerator()
{
Density = -1;
Sparsity = 0.2;
SparsityWeight = 1.0;
LearningRate = 0.01;
Epsilon = double.NaN;
Activation = new SteepLogistic();
OutputFunction = new Ident();
NormalizeFeatures = false;
}
/// <summary>
/// Initializes a new instance of a Gated Recurrent Network generator.
/// </summary>
public GatedRecurrentGenerator()
{
SequenceLength = 1;
Epsilon = double.NaN;
LearningRate = 0.1;
Lambda = 0.0;
ResetGate = new SteepLogistic();
UpdateGate = new SteepLogistic();
Activation = new Tanh();
PreserveOrder = true;
}
/// <summary>
/// Initializes a new Recurrent Neuron.
/// </summary>
public RecurrentNeuron()
{
H = 0d;
Rb = 0d;
Zb = 0d;
Zx = Sampling.GetUniform();
Zh = Sampling.GetUniform();
Rx = Sampling.GetUniform();
Rh = Sampling.GetUniform();
if (ResetGate == null)
{
ResetGate = new SteepLogistic();
}
if (MemoryGate == null)
{
MemoryGate = new SteepLogistic();
}
if (ActivationFunction == null)
{
ActivationFunction = new Tanh();
}
}
