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MAI4CAREU - Machine Learning for Graphics and Computer Vision - Deep Learning for Videos

MAI4CAREU - Machine Learning for Graphics and Computer Vision - Deep Learning for Videos

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

The lecture examines deep learning approaches for video classification. Students will learn about the unique challenges and techniques involved in processing video data, including the temporal dynamics that distinguish video from still images. The module covers various deep learning architectures tailored for video analysis, such as Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTM) networks, providing a comprehensive understanding of how to classify and interpret complex video content effectively.

The course also looks at: 

  • Sequential Processing of Non-Sequence Data 
  • Truncated Backpropagation
  • Image captioning

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

Learning content

Target audience
Digital skills for the labour force.
Digital skills for ICT professionals and other digital experts.
Digital skills in education.
Digital skills for all
Digital skill level
Geographic scope - Country
Austria
Belgium
Bulgaria
Cyprus