Stanford CS224N: NLP with Deep Learning (Winter 2026)
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CS224N: Natural Language Processing with Deep Learning
课程概要
- 学期: Winter 2026 (Jan 6 - Mar 16)
- 授课: Tue/Thu 4:30-5:50pm PT
- 评分: Assignments 48% + Project 49% + Participation 3%
讲座目录
Week 1
- L01 History of NLP — Jan 6
- L02 Word Vectors — Jan 8
Week 2
- L03 Neural Nets — Jan 13
- L04 RNN & LM — Jan 15
Week 3
- L05 Transformers — Jan 21
- L06 Final Project — Jan 23
Week 4
- L07 Pretraining — Jan 27
- L08 Post-training — Jan 29
Week 5
- L09 PEFT — Feb 3
- L10 RAG & Agents — Feb 5
Week 6
- L11 Evaluation — Feb 10
- L12 Reasoning Part 1 — Feb 12
Week 7
- L13 Reasoning Part 2 — Feb 18
- L14 Tokenization & Multilinguality — Feb 20
Week 8
- L15 Interpretability — Feb 24
- L16 Social Impact — Feb 26
Week 9
- L17 Multimodality — Mar 3
- L18 LoRA Without Regret — Mar 5
Week 10
- L19 Open Questions — Mar 10
作业
- A1 Word Vectors — 6% — Due Jan 15
- A2 Neural Nets — 14% — Due Jan 22
- A3 Transformers — 14% — Due Feb 5
- A4 LLM Evaluation — 14% — Due Feb 19
项目
- Project — 49%
- Proposal 8% (Feb 10) | Milestone 6% (Feb 26) | Report 32% (Mar 12) | Poster 3% (Mar 16)
学习计划
关键日期
| 日期 | 事件 | |------|------| | Jan 6 | 课程开始，A1 发布 | | Jan 15 | A1 Due | | Jan 22 | A2 Due，A3 发布 | | Feb 5 | A3 Due，A4 发布 | | Feb 10 | Project Proposal Due | | Feb 19 | A4 Due | | Feb 26 | Project Milestone Due | | Mar 10 | 最后一节课 | | Mar 12 | Final Report Due | | Mar 16 | Poster Session，课程结束 |