Find file History
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
..
Failed to load latest commit information.
IntroductionToGAN.pdf
README.md

README.md

Simon Kohl: Introduction to Generative Adversarial Networks

10. April 2017

Generative Adversarial Networks (GANs) currently are a much hyped deep neural network concept. Unlike other hype bubbles, there is some true merit to this one: The quality of generated image samples is at a previously unreachable level and applications that were thought to require 'creative human' input, like text-to-image or image-to-image translations, are now being solved by trainable algorithms to an acceptable degree. This presentation gives an introduction to the GAN framework, tips on how to stabilize their training and shows how GANs can be leveraged for challenging segmentation tasks.