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 taught by Associate Professor Theocharis Theocharides and split up into several lectures. The third lecture on Mathematics and Learning follows the first two lectures on ‘Introduction to Deep Learning’ and ‘Fundamentals of Deep Learning’, which cover the basics of Deep Learning.

Learning outcomes

In particular, this lecture focuses on:

• Linear Classifiers, Linear Machines with Hinge Loss, Gradient Descent, Activation and Loss Functions; and
• Optimisation Techniques, Gradient Descent, Batch Optimisation, Introduction to Meta-Learning, Hessian-Free Optimisation.

The lecture illustrates the theory with practical examples 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.