CSE 244A: Foundations of DL
University of California, Santa Cruz
Provides foundations of deep learning algorithms and principles. Topics include neural networks, deep learning principles, deep learning architectures such as convolutional neural networks and recurrent neural networks, autoencoders, generative adversarial networks, and reinforcement learning. (CSE 244A and CSE 244B formerly offered as one course, CSE 244.)
Average GPA: 3.61
Grade distribution records: 120 students across 3 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 21 | 17.5% |
| A | 37 | 30.8% |
| A- | 24 | 20.0% |
| B+ | 14 | 11.7% |
| B | 7 | 5.8% |
| B- | 4 | 3.3% |
| C+ | 1 | 0.8% |
| F | 3 | 2.5% |
| S | 6 | 5.0% |
| U | 1 | 0.8% |
Based on 120 student grade records across 3 terms and 2 professors.
Instructors
- Yuyin Zhou 89 students, Average GPA 3.54
- Cihang Xie 31 students, Average GPA 3.82