Northwestern University 1 credit Statistics
This course introduces state-of-the-art deep learning architectures and their applications across domains such as fraud detection, speech recognition, medical imaging, and autonomous systems. Students will learn the theoretical foundations of these models, understand their distinct purposes, and gain practical experience applying them to real-world problems, while also engaging with recent advances in deep learning research. Prerequisites: STAT 362-0 or COMP_SCI 349-0 or STAT 415-0; and MATH 240-0 or MATH 281-3 or MATH 285-1 or MATH 290-1 or MATH 291-1 or GEN_ENG 205-1 or GEN_ENG 206-1; and STAT 320-1 or STAT 383-0 or MATH 310-1 or MATH 311-1 or MATH 314-0 or MATH 385-0 or ELEC_ENG 302-0 or IEMS 302-0. Programming experience in Python is expected. Students with comparable preparation may enroll with permission of the instructor.
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