The University of Cyprus's Master programme in Artificial Intelligence 4 Careers in Europe (MAI4CAREU) includes MAI645 - Machine Learning for Graphics and Computer Vision, with lectures delivered by the CYENS Centre of Excellence.

Learning outcomes

This lecture focuses on deep learning techniques for computer vision. It begins with an overview of deep learning methods for image classification, covering how deep networks handle visual data. The session explores advanced Convolutional Neural Network (CNN) architectures, such as ResNet, Inception, and DenseNet, highlighting their innovations over traditional models. The module also covers cutting-edge object detection algorithms, including YOLO and Faster R-CNN, providing students with the skills to implement and optimize these techniques for real-world computer vision tasks.

The course also covers:

• Deep Learning for Image Classification
• Advanced CNN Architectures: ResNet, Inception, DenseNet
• Object Detection Algorithms: YOLO, Faster R-CNN
• Implementation and Optimization for Real-World Applications

The course includes practical examples and hands-on exercises to reinforce learning.