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COMP47650

Academic Year 2024/2025
Recent advances in machine learning have been dominated by neural network approaches broadly described as deep learning. This module provides an overview of the most important deep learning techniques covering both theoretical foundations and practical applications. The applications focus on problems in image understanding and language modelling and use appropriate state-of-the-art deep learning libraries and tools which are introduced in the module.

Prerequisites: Machine Learning (or similar), strong programming ability (Python or similar languages), strong mathematical ability (especially linear algebra and differential calculus, optimisation)

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Please see Student Jargon Buster for more information about remediation types and timing. 

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