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

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

Tools