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 fourth lecture on 'Principles of Deep Neural Networks' follows the first three lectures on ‘Introduction to Deep Learning’ and ‘Fundamentals of Deep Learning’, and ‘Mathematics of Deep Learning’, which provide a basic overview of Deep Learning. The fourth lecture dives into the Fundamentals of Deep (Convolutional) Learning.

This lecture focuses on Deep Neural Networks, and in particular : 

• Features
• Feature Representation
• Representation Learning
• BoFs/BoWs
• Feature Maps
• Deep vs. Shallow Nets

The lecture illustrates the theory with practical examples, case studies, and interactive diagrams to offer students a comprehensive understanding of the course material. Professor Theocharides also provides books and reading material at the beginning of the lecture 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.