CMSC828W
Advanced Topics in Information Processing; Foundations of Deep Learning
Restricted to Computer Science (Master's/Doctoral) students; or permission of instructor. In this course, we are going to explore empirically-relevant theoretical foundations of deep learning (DL). We will cover topics including DL optimization, DL generaliation, Neural Tangent Kernels, Deep Generative Models, DL Robustness, DL Interpretability, Domain Adaptation and Generalization, Self-Supervised Learning and Deep Reinforcement Learning.
Sister Courses: CMSC828A, CMSC828B, CMSC828C, CMSC828D, CMSC828E, CMSC828F, CMSC828I, CMSC828J, CMSC828K, CMSC828L, CMSC828M, CMSC828N, CMSC828O, CMSC828P, CMSC828Q, CMSC828R, CMSC828T, CMSC828U, CMSC828V, CMSC828X, CMSC828Y, CMSC828Z
Past Semesters
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2.56
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5.00
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4.67
5 reviews
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3.60
5 reviews
Average rating:
3.60