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This course investigates deep learning from the perspectives of several mathematical theories: numerical optimisation, statistical learning, function approximation, and coding theory. The aim is to shed some light on why and under what circumstances deep learning can be expected to work well - or not.
Required first
MH2100Calculus IIIMH3500StatisticsMH3600Topology & ManifoldsPS0001Introduction To Computational ThinkingMathematics Of Deep Learning
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