Course overview
The course gives an introduction to geometric deep learning, including: the underlying geometric and graph structures and their relationship to deep learning models; also how such models are deployed and used in real-world applications.
- Foundations
- Transformers
- Applications Of Geometric Deep Learning
Course learning outcomes
- Describe the fundamental architectures of deep learning and AI models and connect this with the underlying mathematical principles
- Demonstrate an understanding of how to represent and model data using deep learning approaches
- Demonstrate skills in training and predicting using deep learning using computer programming, including visualisation
- Apply mathematical deep learning techniques to solve a variety of problems at an appropriate level of difficulty
- Demonstrate skills in communicating about artificial intelligence and deep learning, including through designing appropriate numerical experiments and visualisations