How GANs and Adaptive Content Will Change Learning, Entertainment and More

This is the next blog in my random series on better understanding some of these advanced Artificial Intelligence and Deep Learning algorithms. This "episode" takes on Generative Adversarial Networks (GANs). Hope you enjoy my "Deep Learning" learning journey. I originally wrote in "Transforming from Autonomous to Smart: Reinforcement Learning Basics" how Reinforcement Learning was creating learning agents to beat games such as Chess, Go and Mario Bros. Reinforcement learning creates intelligent agents that learn via trial-and-error how to map situations to actions so as to maximize rewards. Reinforcement Learning is one of the more powerful Artificial Intelligence (AI) concepts because it is designed to learn and circumnavigate "situations" where you don't have data sets with explicit known outcomes (which represents most real-life situations, like operating an autonomous vehicle).