Stanford CS224N: NLP with Deep Learning (Winter 2026)

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

• 学习计划

知识索引

• 概念索引 — 494 个核心概念，按分类浏览，关联讲座
• 论文索引 — 73 篇论文，按分类浏览，关联讲座
• 拓展阅读 — 49 个深度主题，数学推导与理论基础

关键日期