public void RunTraining2(Training2Parameters parameters)
{
LogInfoUsingBothLoggers("Started supervised training.");
var trainingData = _configuration.InputsOutputsData;
var teacher = new BackPropagationLearning(NeuralNetwork)
{
LearningRate = parameters.LearningRate,
Momentum = parameters.Momentum,
};
var guiLogIntensity = GetGuiLogIntensity(parameters.SupervisedEpochs);
foreach (int i in Enumerable.Range(1, parameters.SupervisedEpochs))
{
var error = teacher.RunEpoch(trainingData.Inputs, trainingData.Outputs) / trainingData.Inputs.Length;
var message = $"Supervised: {i}, Error = {error}";
LogCurrentEpochResult(message, guiLogIntensity, i, parameters.SupervisedEpochs);
if (_skipPhaseRequest.RequestedAndUnhandled)
{
LogPhaseSkippnigAndNotifyHandled(i, parameters.SupervisedEpochs);
break;
}
}
}
public void SaveConfigs(
DataProviderConfiguration dataProviderConfiguration,
GlobalTrainerConfiguration globalTrainerConfiguration,
Training1Parameters training1Parameters,
Training2Parameters training2Parameters)
{
}
public Training2Parameters GetTraining2Parameters()
{
var initialTraining2Parameters = new Training2Parameters
{
Momentum = Settings.Default.Training2Parameters_Momentum,
LearningRate = Settings.Default.Training2Parameters_LearningRate,
SupervisedEpochs = Settings.Default.Training2Parameters_SupervisedEpochs,
};
return(initialTraining2Parameters);
}
private static void SaveTraining2Parameters(Training2Parameters training2Parameters)
{
if (training2Parameters == null)
{
return;
}
Settings.Default.Training2Parameters_Momentum = training2Parameters.Momentum;
Settings.Default.Training2Parameters_LearningRate = training2Parameters.LearningRate;
Settings.Default.Training2Parameters_SupervisedEpochs = training2Parameters.SupervisedEpochs;
}
public Training2Parameters GetTraining2Parameters()
{
var initialTraining2Parameters = new Training2Parameters
{
Momentum = 0.5,
LearningRate = 0.1,
SupervisedEpochs = 300,
};
return(initialTraining2Parameters);
}
public void SaveConfigs(
DataProviderConfiguration dataProviderConfiguration,
GlobalTrainerConfiguration globalTrainerConfiguration,
Training1Parameters training1Parameters,
Training2Parameters training2Parameters)
{
SaveDataProviderConfiguration(dataProviderConfiguration);
SaveGlobalTrainerConfiguration(globalTrainerConfiguration);
SaveTraining1Parameters(training1Parameters);
SaveTraining2Parameters(training2Parameters);
Settings.Default.Save();
}
