DSC 140B – Representation Learning
This Week
Finals Week
Redemption Exams (Prof. Hu) on Thursday, Jun 15
Redemption Exams (Prof. Eldridge) on Tuesday, Jun 13
Week 10
Conclusion
Week 9
CNNs
Midterm 02 (Prof. Eldridge) on Thursday, Jun 01
Midterm 02 (Prof. Hu) on Friday, Jun 02
Week 8
Neural Networks II
Discussion 7
- 6:00 pm on Monday
- on Zoom
- Discussion Notebook
- Solutions
Week 7
Neural Networks I
Dr. Eldridge's Lectures
- Lecture 12 RBF Networks and Neural Networks
- Lecture 13 Training Neural Networks
Discussion 6
- 6:00 pm on Monday
- on Zoom
- Discussion Notebook
- Solutions
Week 6
RBF Networks
Discussion 5
- 6:00 pm on Monday
- in WLH 2204
- Discussion Notebook
- Solutions
Week 5
Laplacian Eigenmaps
Midterm 01 (Prof. Eldridge) on Thursday, May 04
Midterm 01 (Prof. Hu) on Friday, May 05
Week 4
Manifold Learning
Discussion 3
- 6:00 pm on Monday
- in WLH 2204
- Discussion Notebook
- Solutions
Week 3
PCA
Discussion 2
- 6:00 pm on Monday
- in WLH 2204
- Discussion Notebook
- Solutions
Week 2
Eigenvalues and Eigenvectors
Discussion 1
- 6:00 pm on Monday
- in WLH 2204
- Discussion Notebook
- Solutions
Week 1
Introduction
Welcome to DSC 140B - Representation Learning!
Here is how to get started:
- Read the syllabus.
- Join our
Campuswire
and
Gradescope
with the email invitations you received earlier this week. If
you didn't receive an email, you can use access code
9294for Campuswire andY7XEKDfor Gradescope. - This quarter, DSC 140B will be co-taught by Justin Eldridge and Zhiting Hu. Please be aware that the lectures, discussions, and exams are unfortunately on slightly different schedules!
- The first lectures are at the
at the following times and places:
- Dr. Justin Eldridge: Tuesday, April 04 at 11:00 AM in RWAC 0121.
- Dr. Zhiting Hu: Monday, April 03 at 4:00 PM in WLH 2204.
- The first discussion is at the following time and place: Monday, April 10, at 6:00 PM in WLH 2204.
- Note that although there are two separate discussions in the schedule of classes, we have decided to merge the two into one discussion per week at the above time and place.
See you in lecture!