CNTK Bahrudin Hrnjica Blog

In this blog post I am going to explain one of possible way how to implement Deep Learning ML to play video game. The idea behind this machine learning project is to capture images together with action, while you play Mario Kart game. Then captured images are transformed into features of training data set, and action keys into label hot vectors respectively. Since we need to capture images, the emulator should be positioned at fixed location and size during playing the game, as well as during testing algorithm to play game. The flowing image shows N64 emulator graphics configuration settings.