AILo Talks - Dr. Zhenxing Zhang, University of Groningen

Title: How to Generate Realistic Images Using Generative Adversarial Networks (GANs)?

Abstract:

In this talk, we will explore the fascinating world of generative adversarial networks (GANs), a type of neural network architecture that has gained immense popularity in recent years for its ability to generate high-quality pictures. I will start by introducing the basics of neural networks and deep learning. I will then delve into the details of GANs, explaining their architecture, loss functions, and training process. I will also discuss how GANs have been used in various fields, such as art, gaming, and healthcare, and showcase some impressive examples of GAN-generated images. By the end of this talk, you will have a solid understanding of GANs and their potential applications. This talk is suitable for beginners with no prior knowledge of neural networks or GANs.