/// <summary>
///
/// </summary>
#endregion
#region Main function
public NNTrainPatterns(NeuralNetwork neuronNet, MnistDatabase trainingSet, Preferences preferences, bool trainingDataReady,
ManualResetEvent eventStop,
ManualResetEvent eventStopped,
HandwrittenRecogniration.Mainform form, List <Mutex> mutexs)
{
m_currentPatternIndex = 0;
_bDataReady = trainingDataReady;
_NN = neuronNet;
_MnistDataSet = trainingSet;
m_Preferences = preferences;
m_nImages = (uint)_MnistDataSet.m_pImagePatterns.Count;
_form = form;
m_EventStop = eventStop;
m_EventStopped = eventStopped;
m_Mutexs = mutexs;
m_cMisrecognitions = 0;
_iNextPattern = 0;
m_bNeedHessian = true;
m_cBackprops = 0;
_dMSE = 0;
_nn = 0;
_dMSE200 = 0;
m_HiPerfTime = new HiPerfTimer();
GetGaussianKernel(m_Preferences.m_dElasticSigma);
}
public Mainform()
{
InitializeComponent();
_Preference = new Preferences();
_MnistTrainingDatabase = new MnistDatabase();
_MinstTestingDatabase = new MnistDatabase();
_Mnistdatabase = _MinstTestingDatabase;
_icurrentMnistPattern = 0;
_bTrainingDataReady = false;
_bTestingDataReady = false;
_bDatabaseReady = _bTestingDataReady;
radioButtonMnistTestDatabase.Checked = true;
radioButtonMnistTrainDatabase.Checked = false;
pictureBox2.SizeMode = PictureBoxSizeMode.StretchImage;
//Create Neural net work
_NN = new NeuralNetwork();
_TrainingNN = new NeuralNetwork();
CreateNNNetWork(_NN);
// initialize delegates
_DelegateAddObject = new DelegateAddObject(this.AddObject);
// initialize events
_EventTrainingStopThread = new ManualResetEvent(false);
_EventTrainingThreadStopped = new ManualResetEvent(false);
_EventTestingStopThread = new ManualResetEvent(false);
_EventTestingThreadStopped = new ManualResetEvent(false);
_trainer_threads = null;
_MainMutex = new Mutex();
_mnistWeightsFile = "";
_bTrainingThreadRuning = false;
_bTestingThreadRuning = false;
}
public Test(ReseauNeurone neuronet, MnistDatabase baseTest, FormPrincipal frm)
{
_RNN = neuronet;
BaseApprentissage = baseTest;
nombre = BaseApprentissage.imageCount;
erreurReconnaissances = 0;
_form = frm;
m_HiPerfTime = new HiPerfTimer();
}
public Test(ReseauNeurone neuronet, MnistDatabase baseTest, FormPrincipal frm, int entree, int sortie, int taille)
{
_RNN = neuronet;
BaseApprentissage = baseTest;
nombre = BaseApprentissage.imageCount;
erreurReconnaissances = 0;
_form = frm;
m_HiPerfTime = new HiPerfTimer();
this.Entree = entree;
this.Sortie = sortie;
this.Taille = taille;
}
private void radioButton2_CheckedChanged(object sender, EventArgs e)
{
if (radioButtonMnistTestDatabase.Checked)
{
_Mnistdatabase = _MinstTestingDatabase;
_bDatabaseReady = _bTestingDataReady;
_icurrentMnistPattern = 0;
}
else
{
_Mnistdatabase = _MinstTestingDatabase;
_bDatabaseReady = _bTrainingDataReady;
_icurrentMnistPattern = 0;
}
}
public Apprentissage(ReseauNeurone neuronet, MnistDatabase baseApprentissage, int nombreSorties, FormPrincipal frm, Boolean distorsion)
{
_RNN = neuronet;
BaseApprentissage = baseApprentissage;
nombre = baseApprentissage.imageCount;
NombreSorties = nombreSorties;
erreurReconnaissances = 0;
bonneReconnaissances = 0;
nombreBackPropagation = 0;
_iEpochsCompleted = 0;
_form = frm;
m_HiPerfTime = new HiPerfTimer();
archive = new Archive();
this.Distorsion = distorsion;
}
private void mNISTDatabaseToolStripMenuItem_Click(object sender, EventArgs e)
{
_bTrainingDataReady = _MnistTrainingDatabase.LoadMinstFiles();
if (_bTrainingDataReady)
{
//update Preferences parametters
if (_MnistTrainingDatabase.m_pImagePatterns.Count != _Preference.m_nItemsTrainingImages)
{
_Preference.m_nItemsTrainingImages = (uint)_MnistTrainingDatabase.m_pImagePatterns.Count;
_Preference.m_nItemsTrainingLabels = (uint)_MnistTrainingDatabase.m_pImagePatterns.Count;
}
radioButtonMnistTrainDatabase.Enabled = true;
radioButtonTrainingdatabase.Enabled = true;
buttonMnistNext.Enabled = true;
buttonMnistPrevious.Enabled = true;
_bDatabaseReady = _bTrainingDataReady;
_Mnistdatabase = _MnistTrainingDatabase;
}
else
{
radioButtonMnistTrainDatabase.Enabled = false;
return;
}
_bTestingDataReady = _MinstTestingDatabase.LoadMinstFiles();
if (_bTestingDataReady)
{
//update Preferences parametters
if (_MinstTestingDatabase.m_pImagePatterns.Count != _Preference.m_nItemsTestingImages)
{
_Preference.m_nItemsTestingImages = (uint)_MinstTestingDatabase.m_pImagePatterns.Count;
_Preference.m_nItemsTestingLabels = (uint)_MinstTestingDatabase.m_pImagePatterns.Count;
}
radioButtonMnistTestDatabase.Enabled = true;
radioButtonMnistTestDatabase.Checked = true;
radioButtonTestingdatabase.Enabled = true;
radioButtonTestingdatabase.Checked = true;
buttonMnistNext.Enabled = true;
buttonMnistPrevious.Enabled = true;
_bDatabaseReady = _bTestingDataReady;
_Mnistdatabase = _MinstTestingDatabase;
}
else
{
radioButtonMnistTestDatabase.Enabled = false;
return;
}
}
public NNTestPatterns(NeuralNetwork neuronNet, Preferences preferences,
HandwrittenRecogniration.Mainform form, List <Mutex> mutexs)
{
m_currentPatternIndex = 0;
_bDataReady = true;
_NN = neuronNet;
_iNextPattern = 0;
m_EventStop = null;
m_EventStopped = null;
_form = form;
m_HiPerfTime = new HiPerfTimer();
m_nImages = 0;
_iMisNum = 0;
//Initialize Gaussian Kernel
m_Preferences = preferences;
GetGaussianKernel(preferences.m_dElasticSigma);
_MnistDataSet = null;
m_Mutexs = mutexs;
}
public NNTestPatterns(NeuralNetwork neuronNet, MnistDatabase testtingSet, Preferences preferences, bool testingDataReady,
ManualResetEvent eventStop,
ManualResetEvent eventStopped,
HandwrittenRecogniration.Mainform form, List <Mutex> mutexs)
{
m_currentPatternIndex = 0;
_bDataReady = testingDataReady;
_NN = neuronNet;
_iNextPattern = 0;
m_EventStop = eventStop;
m_EventStopped = eventStopped;
_form = form;
m_HiPerfTime = new HiPerfTimer();
m_nImages = (uint)testtingSet.m_pImagePatterns.Count;
//Initialize Gaussian Kernel
m_Preferences = preferences;
GetGaussianKernel(preferences.m_dElasticSigma);
_MnistDataSet = testtingSet;
m_Mutexs = mutexs;
}
