internal static ParameterVector AsParameterVector(IList <Parameter> input)
{
ParameterVector inputVector = new ParameterVector();
foreach (var element in input)
{
inputVector.Add(element);
}
return(inputVector);
}
internal static IList <Parameter> FromParameterVector(ParameterVector parameterVector)
{
IList <Parameter> parameterList = new List <Parameter>();
foreach (var parameter in parameterVector)
{
parameterList.Add(parameter);
}
return(parameterList);
}
/// <summary>
/// create a momentum SGD learner
/// </summary>
/// <param name="parameters">parameters to learn</param>
/// <param name="learningRateSchedule">learning rate schedule</param>
/// <param name="momentumSchedule">momentum schedule</param>
/// <param name="unitGain">unit gain</param>
/// <param name="additionalOptions">other additional options</param>
/// <returns></returns>
public static Learner MomentumSGDLearner(IList <Parameter> parameters, TrainingParameterScheduleDouble learningRateSchedule,
TrainingParameterScheduleDouble momentumSchedule, bool unitGain, AdditionalLearningOptions additionalOptions = null)
{
if (additionalOptions == null)
{
additionalOptions = new AdditionalLearningOptions();
}
ParameterVector parameterVector = Helper.AsParameterVector(parameters);
return(CNTKLib.MomentumSGDLearner(parameterVector, learningRateSchedule, momentumSchedule, unitGain, additionalOptions));
}
/// <summary>
/// Create an instance of the CNTK built-in SGD learner.
/// </summary>
/// <param name="parameters">Parameters of the learner.</param>
/// <param name="learningRateSchedule">Learning rate schedule.</param>
/// <param name="additionalOptions">Additional options.</param>
/// <returns></returns>
public static Learner SGDLearner(IList <Parameter> parameters, TrainingParameterScheduleDouble learningRateSchedule, AdditionalLearningOptions additionalOptions = null)
{
ParameterVector parameterVector = Helper.AsParameterVector(parameters);
if (additionalOptions == null)
{
return(CNTKLib.SGDLearner(parameterVector, learningRateSchedule));
}
else
{
return(CNTKLib.SGDLearner(parameterVector, learningRateSchedule, additionalOptions));
}
}
/// <summary>
/// Parameters if the function
/// </summary>
/// <returns></returns>
public IList <Parameter> Parameters()
{
ParameterVector parameterVector = _Parameters();
return(Helper.FromParameterVector(parameterVector));
}
/// <summary>
/// Create an instance of the CNTK built-in SGD learner.
/// </summary>
/// <param name="parameters">Parameters of the learner.</param>
/// <param name="learningRateSchedule">Learning rate schedule.</param>
/// <param name="additionalOptions">Additional options.</param>
/// <returns></returns>
public static Learner SGDLearner(IList <Parameter> parameters, TrainingParameterScheduleDouble learningRateSchedule, AdditionalLearningOptions additionalOptions)
{
ParameterVector parameterVector = Helper.AsParameterVector(parameters);
return(SGDLearner(parameterVector, learningRateSchedule, additionalOptions));
}