A Brief Overview of GANs
Introduced by Goodfellow, et al. (Goodfellow) in 2014, a GAN consists of two
functions, a generator and a discriminator, which are usually neural networks
but can be any differentiable function. GANs are used to map data from one space
to another; typically from a generated distribution \(p_g\) to an