Deep Learning In Ai Systems

ENGR-6222

Working directly with a faculty member, students build machine learning systems that can be used as the foundation for decision-making intelligences, where learning systems transition from recommendations to decision capacities. Over the semester, the student proposes the model, develops the model, and trains the system to improve performance.

3 credits

Prereqs:

ENGR-6221 Machine Learning Frameworks

Past Term Data

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	Spring	Summer		Fall
		(Session 1)	(Session 2)
2025	Deep Learning In Ai Systems (3c) Jan P. Olausson Seats Taken: 0/25
2024	Deep Learning In Ai Systems (3c) Jan P. Olausson Seats Taken: 4/25	Deep Learning In Ai Systems (3c) Jan P. Olausson Seats Taken: 5/25		Deep Learning In Ai Systems (3c) Jan P. Olausson Seats Taken: 1/25
2023	Deep Learning In Ai Systems (3c) Jan P. Olausson Seats Taken: 5/25	Deep Learning In Ai Systems (3c) Jan P. Olausson Seats Taken: 1/25		Deep Learning In Ai Systems (3c) Jan P. Olausson Seats Taken: 4/25
2022	Deep Learning In Ai Systems (3c) Jan P. Olausson Seats Taken: 2/25	Deep Learning In Ai Systems (3c) Jan P. Olausson Seats Taken: 2/25		Deep Learning In Ai Systems (3c) Jan P. Olausson Seats Taken: 3/25
2021	Deep Learning In Ai Systems (3c) Jan P. Olausson Seats Taken: 1/25	Deep Learning In Ai Systems (3c) Jan P. Olausson Seats Taken: 4/25		Deep Learning In Ai Systems (3c) Jan P. Olausson Seats Taken: 4/25
2020				Deep Learning In Ai Systems (3c) Jan P. Olausson Seats Taken: 3/25
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