In this video, i discuss the basics of Generative Adversarial Networks (GANs) and the groundbreaking paper "Generative Adversarial Nets"
. I talk about how the generator and discriminator work together, explore loss functions, and understand key challenges like mode collapse and vanishing gradients.
Thumnail image from "Progressive Growing of GANs for Improved Quality, Stability, and Variation"
https://www.semanticscholar.org/paper...
#python #deeplearning