Uploaded September 2021 | Updated September 2026, 1 week ago
Sebastian's books: sebastianraschka.com/books
July 2021. Invited tutorial lecture at the International Summer School on Deep Learning, Gdansk.
Slides: sebastianraschka.com/pdf/slides/2021-07_issdl-gdansk-intro-to-gans.pdf
Code: github.com/rasbt/2021-issdl-gdansk
===================
This lecture introduces the main concepts behind Generative Adversarial Networks (GANs) and explains the main ideas behind the objective function for optimizing the generator and discriminator subnetworks. Hands-on examples include GANs for handwrittten digit and face generation, implemented in PyTorch. Lastly, this talks summarizes some of the main milestone GAN architectures that emerged in recent years.
Sebastian's books: sebastianraschka.com/books
July 2021. Invited tutorial lecture at the International Summer School on Deep Learning, Gdansk.
Slides: sebastianraschka.com/pdf/slides/2021-07_issdl-gdansk-intro-to-gans.pdf
Code: github.com/rasbt/2021-issdl-gdansk
===================
This lecture introduces the main concepts behind Generative Adversarial Networks (GANs) and explains the main ideas behind the objective function for optimizing the generator and discriminator subnetworks. Hands-on examples include GANs for handwrittten digit and face generation, implemented in PyTorch. Lastly, this talks summarizes some of the main milestone GAN architectures that emerged in recent years.
