The University of Cyprus's MSc Deep Learning is part of the Master programmes in Artificial Intelligence 4 Careers in Europe (MAI4CAREU). One of Master's programme's courses, MAI642 - Deep Learning is split up into several lectures and is taught by Associate Professor Theocharis Theocharides. The tenth lecture on Generative Adversarial Networks is the first lecture of the course’s scope on ‘Emerging Deep Learning Research and Applications.

Learning outcomes 

The lecture focuses in particular on: 

• Generative Models
• Deep Belief Networks 
• Auto-encoders
• Discriminative Models

The lecture dives into Generative Adversarial Networks (GANs) and how to train them. It also explores the variantions to GANs, the major difficulties that are encountered, and how to respond to common failure cases. A second part of the lecture examines training and mathematics behind GAN.

The lecture illustrates the theory with a lot of practical examples, illustrations, case studies, and interactive diagrams to offer students a comprehensive understanding of the course material. Professor Theocharides also provides a bibliography for further learning.

Course content and schedule

The MAI642 - Deep Learning course is spread out over 13 weeks of lectures, which are split into 13 lectures covering 4 broader topics: 

• Week 1-3: Basics 
• Week 4: Fundamentals of Deep (Convolutional) Learning
• Week 5-9: Deep Neural Networks – Deep into deep learning
• Week 10-13: Emerging Deep Learning research and applications

The course then wraps up with a comprehensive final exam.