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Introduction to Generative Adversarial Networks (Tutorial Recording at ISSDL 2021)

Published: 17 September 2021
on channel: Sebastian Raschka
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Sebastian's books: https://sebastianraschka.com/books/

July 2021. Invited tutorial lecture at the International Summer School on Deep Learning, Gdansk.
Slides: https://sebastianraschka.com/pdf/slid...
Code: https://github.com/rasbt/2021-issdl-g...

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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.

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