ECE 542
Neural Networks
Section: 603

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

SPRG 2020

Classes Start:
January 6, 2020
Classes End:
April 23, 2020
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