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Sep 20, 2024
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MTH 5320 Deep LearningCredit Hours: 3 Introduces architectures, algorithms and applications. Includes single and multilayer perceptrons, counterpropagation, Kohonen self-organization, adaptive resonance theory, neocognition, probabilistic neural networks and Boltzmann machines with and without learning, recurrent neural networks. Prerequisite: (CSE 1502 or CSE 1503 or CSE 2050 ) and (MTH 2201 or MTH 3200 )
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