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CS224n, winter, 2019习题内容及解答
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update 2019/12/03
最近在系统的梳理(补漏)NLP的知识， 于是新开了一个repo: learn_NLP_again, 参考教材是Stanford的Speech and Language Processing (3rd ed. draft), 主要是实现里面的算法/模型以及写solutions，欢迎各位一起交流。这里也贴一个descripttion： Here is why I started this project: learn NLP from scratch again. I choose Speech and language process as my entry point, and try to write solutions and implement some algorithms/models of this book. I hope I can stick to this project and update frequently. CS224n-winter19贴一个Readme.md吧，大部分代码和习题解答我已经放到github上了，链接在此处
Solutions for CS224n, winter, 2019. Welcome to discuss problems appearing in assigments, please submit to issue. Also take notes for the key point in lectures. The solutions for assignment is written by Markdown in Assignments/written part. Course page: https://web.stanford.edu/class/cs224nVideo page: https://www.youtube.com/watch?v=8rXD5-xhemo&list=PLoROMvodv4rOhcuXMZkNm7j3fVwBBY42z w1 reading note: Word Vectors I: Introduction, SVD and Word2Ve Word2Vec Tutorial - The Skip-Gram Model practice coding: Assignment1 Gensim w2 reading note: Word Vectors II: GloVe, Evaluation and Trainin gradient-notes CS231n notes on backprop review-differential-calculus backprop_old CS231n notes on network architectures practice coding: Assignment2 writing: Assignment2 w3 reading note: Dependency Parsing note: Language Models and Recurrent Neural Network a3 practice coding: Assignment3 writing: Assignment3 w4 reading note: Machine Translation, Sequence-to-sequence and Attention a4 read: Attention and Augmented Recurrent Neural Networks read: Massive Exploration of Neural Machine Translation Architectures (practical advice for hyperparameter choices) practice coding: Assignment4 writing: Assignment4 key point for a4How to understand pack_padded_sequence and pad_packed_sequence? (Chinese ed) (English ed) w5It has been long time for no updating… reading note: Machine Translation, Sequence-to-sequence and Attention a4 read: Attention and Augmented Recurrent Neural Networks practice coding: Assignment5 writing: Assignment5 Final projectreading: final-project-practical-tips default-final-project-handout project-proposal-instructions Practical Methodology_Deep Learning book chapter Highway Networks Bidirectional Attention Flow for Machine Comprehensionpractice: anotate codes train baseline |
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