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ENSF 618

Learning Representations in Deep Neural Networks

3 credits · Graduate Programs

Advanced knowledge on the theory and practice in training Deep Neural Networks (DNNs), with a focus on optimization and learning representations from natural image and natural language datasets. Prerequisite(s): Admission to the PhD in Electrical and Computer Engineering or the MSc in Electrical Engineering. Also known as: (formerly Software Engineering for Engineers 619.19 (Learning Representations in Deep Neural Networks) )

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