public override void CalculateGradients(Tensor nextLayerGradients)
{
for (int x = 0; x < In.Size.X; x++)
{
for (int y = 0; y < In.Size.Y; y++)
{
Range range = MapToOutput(x, y);
for (int z = 0; z < In.Size.Z; z++)
{
float sum_error = 0;
for (int i = range.MinX; i <= range.MaxX; i++)
{
int minx = i * Stride;
for (int j = range.MinY; j <= range.MaxY; j++)
{
int miny = j * Stride;
int is_max = (In.Get(x, y, z) == Out.Get(i, j, z)) ? 1 : 0;
sum_error += is_max * nextLayerGradients.Get(i, j, z);
}
}
GradsIn.Set(x, y, z, sum_error);
}
}
}
}
public override void CalculateGradients(Tensor nextLayerGradients)
{
for (int x = 0; x < GradsIn.Size.X; x++)
{
for (int y = 0; y < GradsIn.Size.Y; y++)
{
for (int z = 0; z < GradsIn.Size.Z; z++)
{
GradsIn.Set(x, y, z, 0f);
}
}
}
for (int n = 0; n < Out.Size.X; n++)
{
Gradients[n] = nextLayerGradients.Get(n, 0, 0) * (float)Utilities.SigmoidDerivative(Input[n]);
for (int i = 0; i < In.Size.X; i++)
{
for (int j = 0; j < In.Size.Y; j++)
{
for (int z = 0; z < In.Size.Z; z++)
{
int m = Map(i, j, z);
var oldGradIn = GradsIn.Get(i, j, z);
GradsIn.Set(i, j, z, oldGradIn + Gradients[n] * Weights.Get(m, n, 0));
}
}
}
}
}
public override void CalculateGradients(Tensor nextLayerGradients)
{
for (int i = 0; i < In.Size.X; i++)
{
for (int j = 0; j < In.Size.Y; j++)
{
for (int z = 0; z < In.Size.Z; z++)
{
float value = (In.Get(i, j, z) < 0) ? 0 : nextLayerGradients.Get(i, j, z);
GradsIn.Set(i, j, z, value);
}
}
}
}
public override void CalculateGradients(Tensor nextLayerGradients)
{
for (int k = 0; k < Gradients.Length; k++)
{
for (int i = 0; i < ExtendFilter; i++)
{
for (int j = 0; j < ExtendFilter; j++)
{
for (int z = 0; z < In.Size.Z; z++)
{
Gradients[k].Set(i, j, z, 0);
}
}
}
}
for (int x = 0; x < In.Size.X; x++)
{
for (int y = 0; y < In.Size.Y; y++)
{
Range range = MapToOutput(x, y);
for (int z = 0; z < In.Size.Z; z++)
{
float sumError = 0;
for (int i = range.MinX; i <= range.MaxX; i++)
{
int minX = i * Stride;
for (int j = range.MinY; j <= range.MaxY; j++)
{
int minY = j * Stride;
for (int k = range.MinZ; k <= range.MaxZ; k++)
{
int wApplied = (int)Filters[k].Get(x - minX, y - minY, z); //TODO eigentlich int
sumError += wApplied * nextLayerGradients.Get(i, j, k);
var oldValue = Gradients[k].Get(x - minX, y - minY, z);
Gradients[k].Set(x - minX, y - minY, z, oldValue + In.Get(x, y, z) * nextLayerGradients.Get(i, j, k));
}
}
}
GradsIn.Set(x, y, z, sumError);
}
}
}
}
