public void TrainOnMemory(IConcurrentMemory <TData> memory)
{
var trainingData = _dataBuilder.BuildDataset(memory);
if (trainingData == null || trainingData.Count == 0)
{
return;
}
var clonedInstance = _network.Clone();
// Train the network
var result = NetworkManager.TrainNetwork(clonedInstance,
trainingData,
TrainingAlgorithms.AdaDelta(),
_configuration.Epochs, 0.5f,
TrackBatchProgress,
TrainingProgress);
Console.WriteLine("\nTraining session completed, moving to next one");
var backupName = $"backup-network-{DateTime.Now:yyyyMMdd-HH-mm-ss-fff}.modl";
_network.Save(File.Create(backupName));
Console.WriteLine($"Backup model {backupName} saved");
_network = clonedInstance;
}
public void StartAsyncTraining(IConcurrentMemory <TData> memory, CancellationToken ct = default)
{
new Thread(() => {
while (!ct.IsCancellationRequested)
{
TrainOnMemory(memory);
}
}).Start();
}
