public LeNetSnapshot(LeNetNetwork network)
{
Network = network;
Input = new StepSnapshot(network.InputStep);
FirstConvolutions = network.FirstConvolutions.Select(step => new StepSnapshot(step)).ToList().AsReadOnly();
FirstSubsampling = network.FirstSubsampling.Select(step => new StepSnapshot(step)).ToList().AsReadOnly();
SecondConvolutions = network.SecondConvolutions.Select(step => new StepSnapshot(step)).ToList().AsReadOnly();
SecondSubsampling = network.SecondSubsampling.Select(step => new StepSnapshot(step)).ToList().AsReadOnly();
Consolidation = new StepSnapshot(network.ConsolidationStep, 1);
Output = new StepSnapshot(network.OutputStep, LeNetConfigurations.OutputWidth);
}
public LeNetSnapshot(LeNetNetwork network)
{
Network = network;
Input = new StepSnapshot(network.InputStep);
FirstConvolutions = network.FirstConvolutions.Select(step => new StepSnapshot(step)).ToList().AsReadOnly();
FirstSubsampling = network.FirstSubsampling.Select(step => new StepSnapshot(step)).ToList().AsReadOnly();
SecondConvolutions = network.SecondConvolutions.Select(step => new StepSnapshot(step)).ToList().AsReadOnly();
SecondSubsampling = network.SecondSubsampling.Select(step => new StepSnapshot(step)).ToList().AsReadOnly();
Consolidation = new StepSnapshot(network.ConsolidationStep, 1);
Output = new StepSnapshot(network.OutputStep, LeNetConfigurations.OutputWidth);
}
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;
}
