public void Process()
{
Console.WriteLine("Please wait, reading MNIST training data.");
var dir = AppDomain.CurrentDomain.BaseDirectory;
var trainingReader = LearnDigitsBackprop.LoadMNIST(dir, true, MNIST_DEPTH);
var validationReader = LearnDigitsBackprop.LoadMNIST(dir, false, MNIST_DEPTH);
Console.WriteLine("Training set size: " + trainingReader.NumImages);
Console.WriteLine("Validation set size: " + validationReader.NumImages);
var inputCount = trainingReader.Data[0].Input.Length;
var outputCount = trainingReader.Data[0].Ideal.Length;
var network = new BasicNetwork();
network.AddLayer(new BasicLayer(null, true, inputCount));
network.AddLayer(new BasicLayer(new ActivationReLU(), true, 100));
network.AddLayer(new DropoutLayer(new ActivationReLU(), true, 50, 0.5));
network.AddLayer(new BasicLayer(new ActivationReLU(), true, 25));
network.AddLayer(new BasicLayer(new ActivationSoftMax(), false, outputCount));
network.FinalizeStructure();
network.Reset();
// train the neural network
Console.WriteLine("Training neural network.");
var train = new BackPropagation(network, trainingReader.Data, 1e-4, 0.9);
train.L1 = 0;
train.L2 = 1e-11;
PerformIterationsClassifyEarlyStop(train, network, validationReader.Data, 5);
}
/// <summary>
/// The entry point for this example. If you would like to make this example
/// stand alone, then add to its own project and rename to Main.
/// </summary>
/// <param name="args">Not used.</param>
public static void ExampleMain(string[] args)
{
var prg = new LearnDigitsBackprop();
prg.Process();
}
/// <summary>
/// The entry point for this example. If you would like to make this example
/// stand alone, then add to its own project and rename to Main.
/// </summary>
/// <param name="args">Not used.</param>
public static void ExampleMain(string[] args)
{
var prg = new LearnDigitsBackprop();
prg.Process();
}
