Course Description
Generative adversarial networks fundamentals course,
in this course delves into the core principles and workings of GANs, a revolutionary concept in the field of artificial intelligence and machine learning. Throughout the course, you'll explore the fundamental components of GANs, including the generator and discriminator networks, and understand how they interact in a competitive setting to generate realistic data distributions. From basic theory to practical implementation, you'll learn how to train GAN models effectively, tackle common challenges, and explore real-world applications across various domains such as image synthesis, text generation, and more. By the end of this course, you'll have a solid understanding of GANs and the skills to start building your own generative models.
