COURSES

Course 1: Theory and Applications of Deep Learning Algorithms – Bubacarr Bah

Course 2: Perspectives on the theoretical understanding of deep networks – Jared Tanner

Course 3: Large-scale Optimization for Deep Learning – Coralia Cartis

Course 4: Approximation of Functions on Manifolds – Kasso Okoudjou

Course 5: The Modern Mathematics of Deep Learning – Gitta Kutyniok

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