GAN (Generative Adversarial Network)

A neural architecture introduced by Goodfellow et al. (2014) consisting of a generator and discriminator trained in opposition. The generator learns to produce samples indistinguishable from the training distribution. Applied to handwriting and signature generation with conditioning on reference examples from a specific writer.