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nlp_cs224n's Issues
Q2:Lecture 2 Word Vectors and Word Senses
Q18: Lecture 18: Constituency Parsing, TreeRNNs
Q13: Lecture 13: Contextual Word Embeddings
Q14: Lecture 14: Transformers and Self-Attention
Q1: Lecture 1 Introduction and Word Vectors
Q16: Lecture 16: Convolutional Networks for NLP
Q10 : Lecture 10: Question Answering
作业二 问题讨论
Q15: Lecture 15: Natural Language Generation
Q3: Lecture 3: Word Window Classification, Neural Networks, and Matrix Calculus
Q5: Lecture 5: Dependency Parsing
作业一 问题讨论
Q12: Lecture 12: Subword Models
作业三 问题讨论
Q4: Lecture 4: Backpropagation
Q11: Lecture 11: Convolutional Networks for NLP
Q6: Lecture 6: Language Models and RNNs
Q17: Lecture 17: Multitask Learning
Q7: Lecture 7: Vanishing Gradients, Fancy RNNs
作业五 问题讨论
Q8 : Lecture 8: Translation, Seq2Seq, Attention
Q20: Lecture 20: Future of NLP + Deep Learning
作业四 问题讨论
Q9 : Lecture 9: Practical Tips for Projects
Q19: Lecture 19: Bias in AI
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