public void Initialise()
{
Console.WriteLine("Loading Training Data Set...");
trainingDataSet = DataSets.GetTrainingSet().Randomise(0);
Console.WriteLine("Loading Generalisation Data Set...");
generalisationDataSet = DataSets.GetGeneralisationSet().Randomise(1);
Console.WriteLine("Creating LeNet...");
LeNetConfiguration configuration = LeNetConfigurations.FromCharacters('0', '1', '2', '3', '4', '5', '6', '7', '8', '9');
Network = new LeNetNetwork(configuration);
Snapshot = new LeNetSnapshot(Network);
Network.LearningRate = 0.0005 / 16.0;
Network.Mu = 0.02;
bool isPreTraining = Network.IsPreTraining;
}
public void Initialise()
{
Console.WriteLine("Loading Training Data Set...");
trainingDataSet = DataSets.GetTrainingSet().Randomise(0);
Console.WriteLine("Loading Generalisation Data Set...");
generalisationDataSet = DataSets.GetGeneralisationSet().Randomise(1);
Console.WriteLine("Creating LeNet...");
LeNetConfiguration configuration = LeNetConfigurations.FromCharacters('0', '1', '2', '3', '4', '5', '6', '7', '8', '9');
Network = new LeNetNetwork(configuration);
Snapshot = new LeNetSnapshot(Network);
Network.LearningRate = 0.0005 / 16.0;
Network.Mu = 0.02;
bool isPreTraining = Network.IsPreTraining;
}
public ObservationForm(LeNetSnapshot snapshot)
{
InitializeComponent();
this.Snapshot = snapshot;
firstConvolutions = CreateHorizontalPictureBoxes(28 * 3, snapshot.FirstConvolutions.Count);
firstConvolutionsContainer.Controls.AddRange(firstConvolutions);
firstSubsampling = CreateHorizontalPictureBoxes(28 * 3, snapshot.FirstSubsampling.Count);
firstSubsamplingContainer.Controls.AddRange(firstSubsampling);
secondConvolutions = CreateHorizontalPictureBoxes(28 * 3, snapshot.SecondConvolutions.Count);
secondConvolutionsContainer.Controls.AddRange(secondConvolutions);
secondSubsampling = CreateHorizontalPictureBoxes(28 * 3, snapshot.SecondSubsampling.Count);
secondSubsamplingContainer.Controls.AddRange(secondSubsampling);
inputPicture.Paint += inputPicture_Paint;
Snapshot.Updated += Snapshot_Updated;
Snapshot.RequestUpdate();
}
public ObservationForm(LeNetSnapshot snapshot)
{
InitializeComponent();
this.Snapshot = snapshot;
firstConvolutions = CreateHorizontalPictureBoxes(28 * 3, snapshot.FirstConvolutions.Count);
firstConvolutionsContainer.Controls.AddRange(firstConvolutions);
firstSubsampling = CreateHorizontalPictureBoxes(28 * 3, snapshot.FirstSubsampling.Count);
firstSubsamplingContainer.Controls.AddRange(firstSubsampling);
secondConvolutions = CreateHorizontalPictureBoxes(28 * 3, snapshot.SecondConvolutions.Count);
secondConvolutionsContainer.Controls.AddRange(secondConvolutions);
secondSubsampling = CreateHorizontalPictureBoxes(28 * 3, snapshot.SecondSubsampling.Count);
secondSubsamplingContainer.Controls.AddRange(secondSubsampling);
inputPicture.Paint += inputPicture_Paint;
Snapshot.Updated += Snapshot_Updated;
Snapshot.RequestUpdate();
}
