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This course introduces students to theoretical foundational concepts of deep neural networks. The focus of this course is on both fundamental theoretical and applied methods in deep neural networks. A range of topics from convolutional and recurrent type networks to neural-network generative models and attention mechanisms will be introduced.
(1) COSC480 orequivalent and at least 30 points at 200-300 level MATH/EMTH/STAT; (2) Subject to approval of the Head of Department of the Computer Science and Software Engineering.