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

Past Term Data

Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
Spring Summer Fall
(Session 1) (Session 2)
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: 0/25
Deep Learning In Ai Systems (3c)
  • Jan P. Olausson
Seats Taken: 0/25
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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