CS394N, NEU394N Neural Networks

Instructor:

Risto Miikkulainen
risto@cs.utexas.edu
Office hrs Tuesdays 7-8pm CT GDC 3.826 (exceptions)

TA:

Priyanka Mandikal
mandikal@utexas.edu
Office hrs Fridays 4:30 pm - 6:30 pm CT on Zoom

Texts:

- C. Aggarwal (2018). Neural Networks and Deep Learning. New York: Springer. (required).
- Various research papers (some required, some optional).
The textbook will be available electronically through the "Longhorn Textbook Access" program.
If you do not want to participate, please opt out by 9/11/24.

Grading:

30% Exam on introductory lectures
20% Homework assignments
10% Questions on topic talks
40% Project paper
- No makeup exams without a valid proof of unexpected emergency.
- Turning homework in late will reduce the grade 15% for the first 24hrs, 40% for the second, 75% for the third, and 100% after that.
- Plus/minus final grades will be used; attendance will not affect the final grade.
- Students with disabilities may request appropriate academic accommodations from the Services for Students with Disabilities.
- Cheating will not be tolerated; see Standards of Conduct

More details:

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

The UTCS Neural Networks Research Group
Advice for Graduate Students
Cognizant AI Labs
AI Paradigm Shift?
Risto @ Lex Fridman