Generative Adversarial Networks (GANs) for Beginners: Generating Images of Distracted Drivers

Generative adversarial networks (GANs) refers to a set of neural network models typically used to generate stimuli, such as pictures. The use of GANs challenges the dogma that computers are not capable of being creative. It is still early days in the utility of GANs, but it is a very exciting area of research. Here, I review the…