MAI4CAREU - Machine Learning for Graphics and Computer Vision - Semantic Understanding

The University of Cyprus's Master programme in Artificial Intelligence 4 Careers in Europe (MAI4CAREU) contains several courses. One of Master's programme's courses, MAI645 - Machine Learning for Graphics and Computer Vision is split up into several lectures, which are taught by the CYENS Centre of Excellence.

Learning outcomes 

This lecture explores deep learning techniques for semantic understanding. The session covers deep learning methods for semantic segmentation, enabling students to partition images into meaningful segments. It will also focus on visualising and interpreting neural network layers and activations to gain insights into model behaviour. The module introduces Generative Adversarial Networks (GANs) and their applications, including image inpainting and saliency detection. Additionally, the material will delve into autoencoders, highlighting their use in image denoising and generation. This comprehensive overview equips students with advanced skills for enhancing and interpreting visual data.

The course also looks at: 

• Activation functions
• Data Pre-processing 
• Weight initialisation
• Training vs Testing Error 
• Regularisation
• Choosing hyperparameters
• Visualising & Understanding

The course uses visual examples and step-by-step guides to provide students with a comprehensive understanding of the course material.