6 Unique GANs Use Cases - ODSC - Open Data Science - Medium

Generative Adversarial Networks are transforming what we're able to do with neural networks, and it's unfortunate that almost all the press goes to those wildly accurate facial constructions like that of This Person Does Not Exist. GANs have some incredible potential so let's take a look at some really unique use cases that display the power of this advancement. For those of you non-data scientists, GANs are a type of neural network that relies on two different components, one to generate content (adaptive network) and the other to test it (discriminator)– thus "generative adversarial.' The discriminative network attempt to distinguish between real and generated content, helping the generator learn through each iteration. It's a type of unsupervised training in which the adaptive network attempts to fool the discriminator, improving accuracy and helping the machine learn what constitutes an acceptable degree of accuracy.