Deep Learning and Decision Making

What it is about

You learn modern deep-learning models and their mathematical foundations as well as their application in research and industry. In the end you will understand current research papers on deep learning, know classical and state-of-the-art models (e.g., CNN, RNN, Self-Supervised Learning, GPT) and be able to practically implement deep-learning projects.

What you will be able to do

• understand current deep-learning research
• gain deep understanding of ML models
• be able to apply models in industry
• practical coding and project skills in deep learning

What the module consists of

• LecturesConveying deep-learning models and theoretical foundations
• Lab/Hands-onPractically oriented programming exercises and coding tutorials

Teaching method

• LectureIntroduction and explanation of models and theory
• Lab with hands-on coding tutorialsPractical implementation and training for coding/projects