Course Description
Techniques for the design of neural networks for machine learning. An introduction to deep learning. Emphasis on theoretical and practical aspects including implementations using state-of-the-art software libraries. Requirement: Programming experience (an object-oriented language such as Python), linear algebra (MA 405 or equivalent), and basic probability and statistics.
DE Fee
Engineering Online GRAD
DE Program
MS E
FALL 2019
Instructors
Classes Start:
August 21, 2019
Classes End:
December 6, 2019
Distance Education:
Yes
Class Type:
Lecture
Credits:
3.00
Delivery Method:
Internet
Restrictions:
ONLY on campus students with graduate standing in Computer Networking (Computer Science or Electrical Engineering), Computer Engineering, Electrical Engineering, Electric Power System Engineering, or the Renewable Electrical Energy Graduate Certificate