An introduction to Generative Adversarial Networks
Date:
Generative adversarial networks (GANs) have been at the forefront of research on generative models in the last couple of years. GANs have a diverse pool of application involving image generation, image processing, data generation for visual recognition. GANs’ potential is huge because they can learn to mimic any distribution of data. This talk describes the core idea behind a GAN and discuss a few applications.
See the full talk here