Introduction

generative adversarial networks are a relatively recent invention, but also a major contributor to some advancements in machine learning. Pitting the generator and the r against each other helps rapidly train a model that can produce fake data That's very convincing in a lot of applications. We've all seen gans doing interesting things with images and sometimes with video, like in deep fakes. To day on the show, i'm joined by floria and ekerly to discuss applications of gans to the stock market.