TTh 2:40pm–3:55pm
Every section meets at this time.
1 of 2 sections have room
Prerequisites Prerequisites: (COMS W4771) and (COMS W3251 or MATH UN2010 or MATH UN2015) and (STAT UN1201 or STAT GU4001 or STAT GU4203 or IEOR E3658 or MATH UN2015)
Description
Foundational concepts, methods, applications, and recent advances in neural network algorithms
Reviews
Course experience
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Instructor quality
n=4, 2025–2026
Aggregated across every course Richard Zemel has taught.
Teaching quality
3.7 / 5
Grading fairness
No signal
Workload
No signal
Difficulty
2.6 / 5 · Moderate
Overall sentiment
Positive
Sections2
- Full
Seat data provenance: Directory as of August 23, 2026 at 4:00 AM
- 83 of 99 seats left
Seat data provenance: Directory as of August 23, 2026 at 4:00 AM
In your week
Workload and grading
- Grading
- Not published
- Format
- Not published
- Credits
- 3 credits
Reported workload
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