EE 5353: Neural Networks (course info 1, 2)

IMPORTANT ANNOUNCEMENTS

HW 5 Solns have been posted.

Exam 3 is on Tuesday, Nov 24

Important Guidelines for Program submission:
1)Please write the title of the program and describe what it is doing in a few words at the beginning of each program.
2)Output of the program must be included.
3)All figures must be labelled.
Points will be deducted for not following these guidelines.

TA INFORMATION

GTA: Rohit Rawat
Email: rohit.rawat [at] mavs.uta.edu
Office: Room 121, Cribbs Building
Office Hours: Tuesdays 2:30 PM - 5:30 PM, Thursdays 2:30 PM - 5:30 PM

Cribbs building doors can only be opened by a GTA for now. I try to set up my office near the door so I can see any students wanting to get in. But it is advisable that you take an appointment earlier by email so I can be sure to get the door for you.

See 'course info' link at the top of this page to view grading key.

Off-Campus Students (Internet):

Fax or email completed assignments to Donya Randolph at 817-272-5630 (drandolph [at] uta.edu)

Email guidelines:

• All emails should carry the subject line in the format "EE5353: <your subject>" (Ex: EE5353: Exam grade)

• If you are submitting any assignment via email, be sure it is named in the following format - "Lastname_Firstname-Assignment#.<file extension>" (Ex: Malalur_Sanjeev-Program2.zip)

HELPFUL MATERIAL, CLASS NOTES AND HANDOUTS

Gradient Techniques for Unconstrained Optimization
PseudoCode for Schmidt Procedure
(Orthogonal Least Squares)
Review of Linear Algebra
Lecture Notes 1
Lecture Notes 2 (updated 09/20)
Lecture Notes 3
Lecture Notes 4 (updated 10/12)
Lecture Notes 5 (updated 11/09)
Lecture Notes 6 (updated 11/12)
Lecture Notes 7