IE 434
Fall 2022 All Classes
All Classes
Deep Learning: Mathematics and Applications
Credit: 3 OR 4 hours.
Mathematical foundations of deep learning and applications to topical examples. Understanding of mathematical formulations of building blocks of machine learning. Design of deep learning algorithms for practical applications. Examples will be drawn from real datasets, and implementations will involve PyTorch. 3 undergraduate hours. 4 graduate hours. Credit is not given for IE 434 and IE 534. Prerequisite: IE 300(or equivalent), MATH 231, MATH 415, CS 101.
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