Teaching
Courses taught at least in part by members of the Deep Learning Research Group:
Time: 7 Jul 2025 - 9 Nov 2025
Uncover the fundamentals of neural network-based deep learning. In this course you will learn the state-of-the-art methods for classification, regression, and generative modelling, giving you the building blocks for designing your own chatbots as well as image and video generation.
Not taught in 2025
This course teaches the ideas, algorithms and techniques of probabilistic machine learning. Topics include Bayesian inference, discriminative and generative classifiers, the EM algorithm, Gaussian processes, Markov Chain Monte Carlo, hidden Markov models, belief nets and other graphical models, and causal modelling.
Time: 7 Jul 2025 - 9 Nov 2025
This course addresses several current topics in artificial intelligence. Possible topics include Reinforcement Learning, AI for robotics, AI in games, Intelligent image analysis, AI and optimisation, AI Planning.
Time: 24 Feb 2025 - 22 Jun 2025
Computer vision and image processing has a wide range of real-world applications, such as automated vehicles and face recognition. This course addresses key AI techniques, tasks, and applications in this area. The course covers a range of topics, starting from the basics of image pre-processing and data augmentation to recent deep learning techniques, addressing tasks such as edge detection, image segmentation, and image classification. Various applications of relevant techniques will also be introduced.
Time: Jul 2025 - 9 Nov 2025
A capstone project to construct a solution to an AI task. The project may be an individual or a group project.
