Date | Topic | Presenters | Slides |
---|---|---|---|
20200925 | Lecture 1 – Introduction and Word Vectors | 이유민 | . |
20201004 | Lecture 2 – Word Vectors and Word Senses | 오창대 | Slide |
20201010 | Lecture 3 – Word Window Classification, Neural Networks, and Matrix Calculus | 안재현 | Slide |
20201030 | Lecture 4 – Backpropagation and Computation Graphs | 문혜현 | Slide |
20201113 | Lecture 5 – Linguistic Structure: Dependency Parsing | 이유민 | Slide |
20201130 | Lecture 6 – Language Models and RNNs | 문혜현 | Slide |
20201226 | Lecture 7 – Vanishing Gradients, Fancy RNNs | 강창구 | Slide |
20210102 | Lecture 8 – Translation, Seq2Seq, Attention | 오창대 | Slide |
20210110 | Lecture 10 – Question Answering | 이유민 | Slide |
20210116 | Lecture 11 – Convolutional Networks for NLP | 오창대 | Slide |
20210123 | Lecture 12 – Subword Models | 문혜현 | Slide |
20210130 | Lecture 13 – Contextual Word Embeddings | 강창구 | Slide |
20210210 | Lecture 14 – Transformers and Self-Attention | 이유민 | Slide |
20210215 | Lecture 15 – Natural Language Generation | 오창대 | Slide |
20210220 | Lecture 18 – Constituency Parsing, TreeRNNs | 문혜현 | Slide |
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Stanford CS224N : NLP with Deep Learning Seminar
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