private void MainForm_Load(object sender, EventArgs e)
{
loading = true;
Brain = new Brain(28 * 28, 10, 3, 16, -0.5F, 0.5F, false, Neuron.ReLU);
Brain = new Brain(new FileStream(@"network.brainStream", FileMode.Open), Neuron.ReLU);//new Brain(File.ReadAllText(@"network.brain"),28 * 28, 10, 3, 16);
Thread loadThread = new Thread(new ThreadStart(loadData));
loadThread.Start();
trainingActive = true;
void loadData()
{
if (trainingActive)
{
trainingAmount = 60000;
Images = ParseDatabase.ParseImages(@"train-images.idx3-ubyte", trainingAmount);
Labels = ParseDatabase.ParseLabels(@"train-labels.idx1-ubyte", trainingAmount);
}
else
{
trainingAmount = 10000;
Images = ParseDatabase.ParseImages(@"t10k-images.idx3-ubyte", trainingAmount);
Labels = ParseDatabase.ParseLabels(@"t10k-labels.idx1-ubyte", trainingAmount);
}
loading = false;
}
}
private void MainForm_Load(object sender, EventArgs e)
{
loading = true;
Brain = new Brain(28 * 28, 10, 2, 16);
Thread loadThread = new Thread(new ThreadStart(loadData));
loadThread.Start();
void loadData()
{
Images = ParseDatabase.ParseImages(@"train-images-idx3-ubyte");
Labels = ParseDatabase.ParseLabels(@"train-labels-idx1-ubyte");
loading = false;
}
}
