Related Issues (20)
- Q10 : Lecture 10: Question Answering
- Q11: Lecture 11: Convolutional Networks for NLP
- Q12: Lecture 12: Subword Models
- Q13: Lecture 13: Contextual Word Embeddings
- Q14: Lecture 14: Transformers and Self-Attention
- Q15: Lecture 15: Natural Language Generation
- Q16: Lecture 16: Convolutional Networks for NLP
- Q17: Lecture 17: Multitask Learning
- Q18: Lecture 18: Constituency Parsing, TreeRNNs
- Q19: Lecture 19: Bias in AI
- Q20: Lecture 20: Future of NLP + Deep Learning
- 作业一 问题讨论
- 作业二 问题讨论
- 作业三 问题讨论
- 作业四 问题讨论
- 作业五 问题讨论
- Q6: Lecture 6: Language Models and RNNs
- Q8 : Lecture 8: Translation, Seq2Seq, Attention
- Q9 : Lecture 9: Practical Tips for Projects
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