Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Update README.md #1

Open
wants to merge 1 commit into
base: master
Choose a base branch
from
Open
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
12 changes: 6 additions & 6 deletions README.md
Original file line number Diff line number Diff line change
@@ -38,24 +38,24 @@ ECNU NLP group learns CS224n in the form of seminars in the 2017 summer.
| :---------------: | :--: | :--------------------------------------- | :-------------- | :-----: |
| Lecture1 | | Introduction to NLP and Deep Learning | 介绍自然语言和深度学习 | |
| Lecture2 | | Word Vector Representations:word2vec | Word2Vec词向量表示 | |
| Lecture3 | | Advanced Word Vector Representations | 高级词向量表示 | |
|     Lecture3     |     | Advanced Word Vector Representations     | 高级词向量表示         | 钟鸣 |
| Lecture4 | | Word Window Classification and Neural Networks | 词窗分类与神经网络 | |
| Lecture5 | | Backpropagation | 反向传播 | 黄子寅 |
|     Lecture5     |     | Backpropagation                         | 反向传播           |  黄子寅   |
| Lecture6 | | Dependency Parsing | 依存句法分析 | |
| **Assignment #1** | | | | 纪焘 |
| Lecture7 | | Introduction to TensorFlow | 介绍TensorFlow | |
| Lecture8 | | Recurrent Neural Networks and Language Models | RNN与语言模型 | |
| Lecture9 | | Machine translation and advanced recurrent LSTMs and GRUs | 机器翻译与高级RNN | |
| Lecture9 | | Machine translation and advanced recurrent LSTMs and GRUs | 机器翻译与高级RNN | 钟鸣 |
| Lecture10 | | Midterm Review | 中期回顾 | 不讲 |
| **Assignment #2** | | | | 纪焘 |
| Lecture11 | | Neural Machine Translation and Models with Attention | NMT与注意力模型 | 黄子寅 |
| Lecture11 | | Neural Machine Translation and Models with Attention | NMT与注意力模型 |  黄子寅   |
| Lecture12 | | Gated recurrent units and further topics in NMT | GRU与NMT进阶 | |
| Lecture13 | | End-to-end models for Speech Processing | 端到端语音处理 | |
| **Assignment #3** | | | | 纪焘 |
| Lecture14 | | Convolutional Neural Networks | CNN | |
| Lecture15 | | Tree Recursive Neural Networks and Constituency Parsing | 树RNN与短语句法分析 | |
| Lecture15 | | Tree Recursive Neural Networks and Constituency Parsing | 树RNN与短语句法分析 | 钟鸣 |
| Lecture16 | | Coreference Resolution | 共指消解 | |
| Lecture17 | | Dynamic Neural Networks for Question Answering | 动态神经网络QA | 黄子寅 |
| Lecture17 |     | Dynamic Neural Networks for Question Answering | 动态神经网络QA       |  黄子寅   |
| Lecture18 | | Issues in NLP and Possible Architectures for NLP | NLP中的问题与可能的解决框架 | |
| Lecture19 | | Tackling the Limits of Deep Learning for NLP | 聚焦深度学习在NLP上的局限性 | |
| **Assignment #4** | | | | 纪焘 |