Best Resources for Getting Started With Generative Adversarial Networks (GANs)

Generative Adversarial Networks, or GANs, are a type of deep learning technique for generative modeling. GANs are the techniques behind the startlingly photorealistic generation of human faces, as well as impressive image translation tasks such as photo colorization, face de-aging, super-resolution, and more. It can be very challenging to get started with GANs. This is both because the field is very young, starting with the first paper in 2014, and because of the vast number of papers and applications published every month on the topic. In this post, you will discover the best resources that you can use to learn about generative adversarial networks. A Generative Adversarial Network, or GAN, is a type of neural network architecture for generative modeling.