On the 15th of August, I presented a talk on SciPy Meetup – Coders Hub Powered by Giant Steps. Here are the summary of the presentation, slides and code (in portuguese).

Summary: Generative Adversarial Networks (GANs) have proven to be a relevant solution in the context of generative models, with expressive results in applications such as the generation of human faces and style transfer in images and videos. In this talk, we’ll get introduced to the idea of generative models and the structure of GANs. Finally, we’ll go through a simple implementation example of an easy-to-train GAN using the PyTorch library.

Slides: https://www.slideshare.net/renatocan/scipy-meetup202002

Code: https://www.slideshare.net/renatocan/scipy-meetup202002