CS394N Neural Networks

Instructor:

Risto Miikkulainen
risto@cs.utexas.edu, (512) 471-9571
Office hrs: Wed 1-1:30pm (exceptions) & by appt., TAY 4.142A

TA:

Yiu Fai Sit
yfsit@cs.utexas.edu
Office hrs: Mon 11am-12pm, ESB 229 Desk 4

Texts:

- Haykin, S. (1999). Neural Networks: A Comprehensive Foundation. 2nd Edition. Upper Saddle River, NJ: Prentice Hall (required)
- Various research papers (some required, some optional).

Grading:

30% Exam on introductory lectures
10% Homework assignments
10% Questions on advanced lectures
50% Project paper
No makeup exam without a valid proof of unexpected emergency. Turning in late homework, critique, or paper will reduce the grade 15% for the first 24hrs, 40% for the second, 75% for the third, and 100% after that.

More details:

Course Description
Class Schedule
Exam
Homework Assignments
Topic Talks
Project
Project Talks
Project Papers
Class Resources

The UTCS Neural Networks Research Group
(for various Neural Network related links)
The UTCS Neural Networks Research Group User's Guide
(for various research tools)