I've continued to study artificial intelligence, where in this video we take on one of my favorite games - Breakout. I've coded up a genetic algorithm using a much more complex method than last time. Rather than using specific heuristics based on known strategies, I coded my own implementation of a genetic algorithm for the generation of evolving artificial neural networks known as NeuroEvolution of Augmenting Topologies, or as you may know it - NEAT. The A.I. will train itself by evolving dense neural network node-by-node and connection-by-connection using the gaming inputs (movements of the ball & paddle) and a goal (the higher the score, the better) to determine the best output. And of course, we are looking for it to improve every generation - basic machine learning. 🐱‍🚀 GitHub: https://github.com/forrestknight 🐦 Twitter: https://www.twitter.com/forrestpknight 📸 Instagram: https://www.instagram.com/forrestpknight 👨‍💻 My Coding Gear: https://bit.ly/my-coding-gear 📓 Learning Resources: My Favorite Machine Learning Course: https://imp.i384100.net/YgYEBJ Open Source Computer Science Degree: https://bit.ly/open-source-forrest Udacity to Learn Any Coding Skill: http://bit.ly/udacity-forrest 🔧Coding Tools: The Best Linux Server Hosting: https://bit.ly/linode-forrest #ai #machinelearning #code