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-# cs224n_2020
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+# __CS224n: Natural Language Processing with Deep Learning__
+
+## Course links
+
+- Course page [CS224N](http://web.stanford.edu/class/cs224n/).
+- Lecture videos 2020: (Updating).
+
+## Table of contents
+
+- __Week 1__: 
+    - [ ] Introduction and Word Vectors.
+    - [ ] Gensim word vectors example.
+    - [ ] Word Vectors 2 and Word Senses.
+    - [ ] Python review session.
+- __Week 2__:
+    - [ ] Word Window Classification, Neural Networks, and Pytorch.
+    - [ ] Matrix Calculus and Backpropagation.
+- __Week 3__:
+    - [ ] Linguistic Structure: Dependency Parsing.
+    - [ ] The probability of a sentence? Recurrent Neural Networks and Language Models 
+- __Week 4__:
+    - [ ] Vanishing Gradients and Fancy RNNs.
+    - [ ] Machine Translation, Seq2seq and Attention.
+- __Week 5__:
+    - [ ] Practical Tips for Final Projects.
+    - [ ] Question Answering and the Default Final Project.
+- __Week 6__:
+    - [ ] ConvNets for NLP.
+    - [ ] Information from parts of words (Subword Models) and Transformer architectures.
+- __Week 7__:
+    - [ ] Contextual Word Representation: BERT.
+    - [ ] Modeling contexts of use: Contextual Representations and Pretraining.
+- __Week 8__:
+    - [ ] Natural Language Generation.
+    - [ ] Reference in Language and Coreference Resolution.
+- __Week 9__:
+    - [ ] Fairness and Inclusion in AI.
+    - [ ] Constituency Parsing and Tree Recursive Neural Networks.
+- __Week 10__:
+    - [ ] Recent Advances in Low Resource Machine Translation.
+    - [ ] Future of NLP + Deep Learning.
+- __Week 11__:
+    - [ ] Final project poster session.
+
+## Contributors:
+
+- [Viet-Tien](https://github.com/tiena2cva)
+- [honghanhh](https://github.com/honghanhh)
+