EC ENGR C247
Neural Networks and Deep Learning
Course statistics
- Predicted GPA
- 3.79
- n = 797 · 4 terms · ± 0.019
- A range
- 84%
- of letter grades
- Taken P/NP
- 0%
- — of those passed
- D / F / W
- 0.4%
- incl. withdrawals
Sections in Fall 2026
Not offered in Fall 2026.
Enrollment history
Final enrollment per term, averaged across that term's sections. Four years deep, summer excluded. Per-section live curves are on each section page.
- 9822W
- 11023W
- 7824W
- 7525W
Peak 110
Most recent
75
in 25W
4 terms on record
Grade distribution
- A+ 46 · 5.8%
- A 508 · 63.7%
- A- 116 · 14.6%
- B+ 65 · 8.2%
- B 32 · 4.0%
- B- 16 · 2.0%
- C+ 4 · 0.5%
- C 4 · 0.5%
- C- 3 · 0.4%
- F 3 · 0.4%
Grey bars are non-letter outcomes — P/NP, S/U, incompletes. They are excluded from the GPA entirely rather than scored, because counting a P as a 4.0 would be a fabrication.
By instructor
| Instructor | Predicted | Raw | n | Terms | A range |
|---|---|---|---|---|---|
| KAO, JONATHAN CHAU-YAN | 3.79 | 3.79 | 797 | 4 | 84% |
“Predicted” is shrunk toward the course average, which is itself shrunk toward the department — so an instructor with a handful of students sits near the course mean rather than topping the list.
By term
- 22W 3.89 n=195
- 23W 3.82 n=220
- 24W 3.66 n=156
- 25W 3.76 n=226