void buttonBackpropagation_Click(object sender, EventArgs e)
{
foreach (var classImages in images)
{
var output = new double[classImages.Count][];
var img = new double[classImages.Count][];
for (var i = 0; i < classImages.Count; i++)
{
img[i] = classImages[i].GetImageAsArray();
for (var j = 0; j < classImages.Count; j++)
{
output[i] = new double[classImages.Count];
}
for (var j = 0; j < classImages.Count; j++)
{
if (i == j)
{
output[i][j] = 1;
}
else
{
output[i][j] = 0;
}
}
}
var network = new Backpropagation(img[0].Length, 200, classImages.Count);
network.Train(img, output);
backpropagation.Add(network);
network.SaveWeights($"perceptron{images.IndexOf(classImages)}.bp");
}
MessageBox.Show("Yeeeey");
}
void ButtonLoadWeights_Click(object sender, EventArgs e)
{
var openFileDialog = new OpenFileDialog();
openFileDialog.Multiselect = false;
openFileDialog.Filter = "bp (*.bp)|*.bp";
openFileDialog.InitialDirectory = Directory.GetCurrentDirectory();
openFileDialog.Multiselect = true;
if (openFileDialog.ShowDialog() == DialogResult.OK)
{
if (openFileDialog.FileNames.Length == 1)
{
var network = new Backpropagation();
network.LoadWeights(openFileDialog.FileName);
backpropagation.Add(network);
}
else
{
foreach (var fileName in openFileDialog.FileNames)
{
var network = new Backpropagation();
network.LoadWeights(fileName);
backpropagation.Add(network);
}
}
}
}