CS224N: NLP with Deep Learning
Stanford · Winter 2026 · 个人学习笔记
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22 讲 -1 0 1 Tue Jan 06 2026 08:00:00 GMT+0800 (中国标准时间) 2 Thu Jan 08 2026 08:00:00 GMT+0800 (中国标准时间) 3 Tue Jan 13 2026 08:00:00 GMT+0800 (中国标准时间) 4 Thu Jan 15 2026 08:00:00 GMT+0800 (中国标准时间) 5 Tue Jan 20 2026 08:00:00 GMT+0800 (中国标准时间) 6 Thu Jan 22 2026 08:00:00 GMT+0800 (中国标准时间) 7 Tue Jan 27 2026 08:00:00 GMT+0800 (中国标准时间) 8 Thu Jan 29 2026 08:00:00 GMT+0800 (中国标准时间) 9 Tue Feb 03 2026 08:00:00 GMT+0800 (中国标准时间) 10 Thu Feb 05 2026 08:00:00 GMT+0800 (中国标准时间) 11 Tue Feb 10 2026 08:00:00 GMT+0800 (中国标准时间) 12 Thu Feb 12 2026 08:00:00 GMT+0800 (中国标准时间) 13 Tue Feb 17 2026 08:00:00 GMT+0800 (中国标准时间) 14 Thu Feb 19 2026 08:00:00 GMT+0800 (中国标准时间) 15 Tue Feb 24 2026 08:00:00 GMT+0800 (中国标准时间) 16 Thu Feb 26 2026 08:00:00 GMT+0800 (中国标准时间) 17 Tue Mar 03 2026 08:00:00 GMT+0800 (中国标准时间) 18 Thu Mar 05 2026 08:00:00 GMT+0800 (中国标准时间) 19 Tue Mar 10 2026 08:00:00 GMT+0800 (中国标准时间) 99
Stanford CS224N: NLP with Deep Learning (Winter 2026)
CS224N 学习计划
L01: Introduction and the History of NLP
L02: Word Vectors
L03: Backpropagation and Neural Networks
L04: Language Models and Recurrent Neural Networks
L05: Attention and Transformers
L06: Final Projects & Practical Tips
L07: Pretraining
L08: Post-training
L09: Efficient Adaptation (PEFT)
L10: RAG and Language Agents
L11: Evaluation
L12: Reasoning 1/2
L13: Reasoning 2/2
L14: Tokenization and Multilinguality
L15: Interpretability (Guest: Been Kim)
L16: AI's Impact on Humanity
L17: Multimodality (Guest: Luke Zettlemoyer)
L18: LoRA Without Regret (Guest: John Schulman)
L19: Open Questions in NLP
CS224N Final Project