/// <summary>
/// Learn using the Manhattan update rule.
/// </summary>
///
/// <param name="learningRate">The learning rate.</param>
public void LearnManhattan(double learningRate)
{
this.learningType = TrainFlatNetworkOpenCL.LEARN_MANHATTAN;
this.learningRate = learningRate;
IDictionary<String, String> options = GetOptions("LEARN_MANHATTAN");
this.kernel = new KernelNetworkTrain(this.profile.Device,
this.network, this.training, 1);
this.kernel.Compile(options, profile, this.network);
this.kernel.TempDataArray[0] = (float)learningRate;
}
/// <summary>
/// Learn using RPROP with a custom initial update and max step.
/// </summary>
///
/// <param name="initialUpdate">The initial update value.</param>
/// <param name="maxStep">The max step.</param>
public void LearnRPROP(double initialUpdate, double maxStep)
{
this.learningType = TrainFlatNetworkOpenCL.LEARN_RPROP;
this.initialUpdate = initialUpdate;
this.maxStep = maxStep;
IDictionary<String, String> options = GetOptions("LEARN_RPROP");
this.kernel = new KernelNetworkTrain(this.profile.Device,
this.network, this.training,
this.network.Weights.Length * 2);
this.kernel.Compile(options, profile, this.network);
int weightLength = this.network.Weights.Length;
for (int i = 0; i < weightLength; i++)
{
this.kernel.TempDataArray[i] = 0;
this.kernel.TempDataArray[i + weightLength] = (float)this.initialUpdate;
}
}
/// <summary>
/// Learn using backpropagation.
/// </summary>
///
/// <param name="learningRate">The learning rate.</param>
/// <param name="momentum">The momentum.</param>
public void LearnBPROP(double learningRate, double momentum)
{
this.learningType = TrainFlatNetworkOpenCL.LEARN_BPROP;
this.momentum = momentum;
this.learningRate = learningRate;
this.learningType = TrainFlatNetworkOpenCL.LEARN_BPROP;
IDictionary<String, String> options = GetOptions("LEARN_BPROP");
this.kernel = new KernelNetworkTrain(this.profile.Device,
this.network, this.training,
this.network.Weights.Length + 2);
this.kernel.Compile(options, profile, this.network);
this.kernel.TempDataArray[0] = (float)learningRate;
this.kernel.TempDataArray[1] = (float)momentum;
}