What is a working configuration of a neuronal network (number of layers, lerning rate and so on) for a specific dataset?

I try to solve some easy functions with a neuronal network (aforge-lib): This is how I generate the dataset: const int GesamtAnzahl = 200; float[,] tempData = new float[GesamtAnzahl, 2]; float minX = float.MaxValue; float maxX = float.MinValue; Random rnd = new Random(); var granzen = new List<int>() { rnd.Next(1, GesamtAnzahl-1), rnd.Next(1, GesamtAnzahl-1), rnd.Next(1, GesamtAnzahl-1),…

Details

Not generating kernels that aren’t there

When I apt-get dist-upgrade, several 4.x kernels are reliably generated. [email protected]:boot $ ls -lt total 135676 -rw-r–r– 1 root root 68578468 Dec 23 09:27 initrd.img-5.0.0-37-generic -rw-r–r– 1 root root 18585279 Dec 23 09:26 initrd.img-4.4.0-59-generic -rw-r–r– 1 root root 18585112 Dec 23 09:26 initrd.img-4.10.0-42-generic -rw-r–r– 1 root root 18585676 Dec 23 09:26 initrd.img-4.13.0-46-generic drwxr-xr-x 5 root…

Details