EE 5353: Neural Networks
COURSE INFORMATION (updated)
IMPORTANT ANNOUNCEMENTSImportant 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 INFORMATIONRohit Rawat
Please see the page for EE5350, and see me during the times listed there. Check that page often for updates and outages.
Location: IEEE mentoring office NH 132
Off-Campus Students (Internet):
Fax or email completed assignments to Donya Randolph at 817-272-5630 (drandolph [at] uta.edu)
TEXT AND REFERENCE BOOKS INFORMATION
"Neural Networks: A Comprehensive Foundation" by Simon Haykin
HELPFUL MATERIAL, CLASS NOTES AND HANDOUTS
Techniques for Unconstrained Optimization
OTHER HELPFUL STUFF
(1) Map.zip (C-version) - updated 9/20/2011
Map-MATLAB.zip (MATLAB/Octave version)
(2) Class.zip (C-version)
Class-MATLAB.zip (MATLAB/Octave version)
Training data files can be obtained here: http://www-ee.uta.edu/eeweb/ip/new_training.html
Tutorial: Using Microsoft Visual Studio 2005
For any problems with the web page, please email the GTA.
University of Texas at Arlington
© 2009 Image Processing and Neural Networks Lab