private void forward(MnistImage image)
{
for (int i = 0; i < image.height; ++i)
{
for (int j = 0; j < image.width; ++j)
{
Net.layers[0].y[i * image.height + j] = image.pixels[i][j];
}
}
Net.layers[0].y[Net.layers[0].y.Length - 1] = 0.5;
for (int l = 0; l < Net.l_number; ++l)
{
for (int i = 0; i < Net.layers[l].v.Length; ++i)
{
for (int j = 0; j < Net.layers[l].weight.Length; ++j)
{
Net.layers[l].v[i] += Net.layers[l].y[j] * Net.layers[l].weight[j][i];
}
}
for (int i = 0; i < Net.layers[l].v.Length; ++i)
{
Net.layers[l].v[i] = Net.layers[l].func(Net.layers[l].args, Net.layers[l].v[i]);
}
if (l != Net.l_number - 1)
{
Net.layers[l + 1].y = Net.layers[l].v;
}
}
Net.Y = Net.layers[Net.l_number - 1].v;
}
public static void LoadData(string pixelFile, string labelFile, out MnistImage[] Xout, out double[][] dout)
{
FileStream ifsPixels = new FileStream(pixelFile, FileMode.Open);
FileStream ifsLabels = new FileStream(labelFile, FileMode.Open);
BinaryReader brImages = new BinaryReader(ifsPixels);
BinaryReader brLabels = new BinaryReader(ifsLabels);
int magic1 = brImages.ReadInt32();
int numIm = brImages.ReadInt32();
int numRows = brImages.ReadInt32();
int numCols = brImages.ReadInt32();
int magic2 = brLabels.ReadInt32();
int numLabels = brLabels.ReadInt32();
int numImages = ReverseBytes(numIm);
numImages = 60000;
MnistImage[] result = new MnistImage[numImages];
double[][] labs = new double[numImages][];
for (int i = 0; i < labs.Length; ++i)
{
labs[i] = new double[10];
}
double[][] pixels = new double[28][];
for (int i = 0; i < pixels.Length; ++i)
{
pixels[i] = new double[28];
}
for (int mi = 0; mi < numImages; ++mi)
{
for (int i = 0; i < 28; ++i)
{
for (int j = 0; j < 28; ++j)
{
double b = (double)brImages.ReadByte();
//pixels[i][j] = b / 255.0 - 0.5;
pixels[i][j] = b / 255.0;
}
}
MnistImage mImage = new MnistImage(28, 28, pixels);
result[mi] = mImage;
byte lbl = brLabels.ReadByte(); // получаем маркеры и пиксели
labs[mi][lbl] = 1;
} // по каждому изображению
ifsLabels.Close();
ifsPixels.Close();
brLabels.Close();
brImages.Close();
Xout = result;
dout = labs;
}
private void Load_test_Click(object sender, EventArgs e)
{
string pixelFile = openFileDialog4.FileName;
string labelFile = openFileDialog5.FileName;
if (pixelFile.Length == 0 || labelFile.Length == 0)
{
throw new Exception();
}
else
{
MnistImage.LoadData(pixelFile, labelFile, out Net.T, out Net.dT);
}
Test.Visible = true;
}
private void Load_input_Click(object sender, EventArgs e)
{
string pixelFile = openFileDialog1.FileName;
string labelFile = openFileDialog2.FileName;
if (pixelFile.Length == 0 || labelFile.Length == 0)
{
throw new Exception();
}
else
{
MnistImage.LoadData(pixelFile, labelFile, out Net.X, out Net.d);
}
Net.Y = new double[Int32.Parse(Ylen.Text)];
Add_layers.Visible = true;
Load_weights.Visible = true;
Confirm.Visible = true;
}
private void backward(MnistImage image)
{
double sum;
for (int i = 0; i < Net.e.Length; ++i)
{
Net.layers[Net.l_number - 1].delta[i] = Net.e[i] * Net.layers[Net.l_number - 1].der(Net.layers[Net.l_number - 1].args, Net.layers[Net.l_number - 1].v[i]);
}
for (int l = Net.l_number - 2; l >= 0; --l)
{
for (int i = 0; i < Net.layers[l].v.Length; ++i)
{
sum = 0;
for (int k = 0; k < Net.layers[l + 1].delta.Length; ++k)
{
sum += Net.layers[l + 1].delta[k] * Net.layers[l + 1].weight[i][k];
}
Net.layers[l].delta[i] = Net.layers[l].der(Net.layers[l].args, Net.layers[l].v[i]) * sum;
}
}
}