static void Main(string[] args)
{
Case[] cases = Utilities.ReadCSV(Path.Combine(@"C:\Users\Julius Jacobsohn\OneDrive\Dokumente\MNIST", "mnist_train_small.csv"));
Layer[] layers = new Layer[4];
ConvolutionalLayer layer1 = new ConvolutionalLayer(1, 5, 8, cases[0].Data.Size);
ReluLayer layer2 = new ReluLayer(layer1.Out.Size);
PoolLayer layer3 = new PoolLayer(2, 2, layer2.Out.Size);
FullyConnectedLayer layer4 = new FullyConnectedLayer(10, layer3.Out.Size);
layers[0] = layer1;
layers[1] = layer2;
layers[2] = layer3;
layers[3] = layer4;
float amse = 0;
int ic = 0;
for (int ep = 0; ep < 100000;)
{
foreach (Case c in cases)
{
float xError = Train(layers, c.Data, c.Out);
amse += xError;
ep++;
ic++;
//Console.WriteLine("Case " + ep + " err=" + amse / ic);
}
}
}
