Advanced Topics in Deep Learning (ATDL)

Knowledge of

Selected advanced topics in deep learning, including:

• state-or-the-art deep models in selected domains

• design of deep learning algorithms

• analysis of deep learning algorithms

• theory of deep learning

The exact list of topics will depend on the teachers and trends in deep learning research. They will be announced on the course's Absalon page.

Skills to

• Implement selected advanced deep learning algorithms using state-of-the-art tools

• Read and understand recent scientific literature in the field of deep learning

• Apply the knowledge obtained by reading scientific papers

• Compare deep learning methods and assess their potentials and shortcomings
    

Competences to

• Understand advanced deep learning methods and techniques

• Design, optimize and use advanced deep models

• Plan and carry out self-learning