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All resources are located in Hephaistos
Repo for the lecture "Applied Artificial Intelligence" at the University of Applied Sciences Esslingen created by Dionysios Satikidis and Jan Seyler.
Module Description HS Esslingen
Check out the Applied-AI Wiki for detailed Information. First start with the chapters and intro to NN and DL.
Chapter0: Intro Lecture and AIM
Chapter1: Neuronal Networks and Deep Learning
Chapter2: Deep Dive Applied AI with RPI3 and Movidius
Chapter3: Deep Dive Applied AI with Smartphone Sensing Framework and TF for Mobile
Appendix: Intro into Deep Reinforcement Learning Technologies
Appendix: Hackster.io Respected Project Autonomous driving ai
Appendix: Github.com Respected Project Android AI Car
Thanks to our contributors:
D. Lagamtzis
Peltzfa