Advent of Code – Day 9
We solve the day 9 challenges for the Advent of Code.
We look at two projects that tries to recreate a voice using extreamly small amount of voice data.
We create a moving 3d image from pictures using a neural network. This new machine-learning algorithm uses mannequin videos to create pictures for the network to train on and create a depth map to rotate pictures in 3d.
In this video series, I try to challenge myself with the Advent of Code trials. Each solution will be published to Github, and I hope you will learn something from my coding mistakes and perhaps send some code my way on how you have done these challenges. I know by reading code, so this is…
We go through how to to create a package to for a cross platform build script. Using the tools autoconf and automake to create Makefile to make and install your c program.
We use Munin to monitor servers with different resources and critical operations. Munin will contact each server and ask for statistics and monitor if a service is running and have enough resources to work.
We look at using XML transforms and testing the result using XSpec