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.)
3 terms
Other grades
University of California, Santa Cruz
CSE 244A at UCSC: average GPA 3.61 across 120 students. Grade distribution by term. Provides foundations of deep learning algorithms and principles. Topics…
Average GPA: 3.61
Grade distribution records: 120 students across 3 terms.
| 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.
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