public TrainEpochIrpropmParallel ( |
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data | ||
threadNumb | uint | |
return | float |
static void Main(string[] argv) { const uint max_epochs = 1000; uint num_threads = 1; TrainingData data; NeuralNet net; long before; float error; if (argv.Length == 2) num_threads = UInt32.Parse(argv[1]); using (data = new TrainingData("..\\..\\..\\datasets\\mushroom.train")) using (net = new NeuralNet(NetworkType.LAYER, 3, data.InputCount, 32, data.OutputCount)) { net.ActivationFunctionHidden = ActivationFunction.SIGMOID_SYMMETRIC; net.ActivationFunctionOutput = ActivationFunction.SIGMOID; before = Environment.TickCount; for (int i = 1; i <= max_epochs; i++) { error = num_threads > 1 ? net.TrainEpochIrpropmParallel(data, num_threads) : net.TrainEpoch(data); Console.WriteLine("Epochs {0}. Current error: {1}", i.ToString("00000000"), error.ToString("0.0000000000")); } Console.WriteLine("ticks {0}", Environment.TickCount - before); Console.ReadKey(); } }