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Techniques for the design of neural networks for machine learning. An introduction to deep learning. Emphasis on theoretical and practical aspects including implementations using state-of-the-art software libraries. Requirement: Programming experience (an object-oriented language such as Python), linear algebra (²Ñ´¡Ìý405 or equivalent), and basic probability and statistics.

Typically offered in Fall and Spring