CS224N-Stanford-Winter-2019

The collection of ALL relevant materials about CS224N-Stanford/Winter 2019 course. THANKS TO THE PROFESSOR AND TAs!
All the rights of the relevant materials belong to Standfor University.
斯坦福大学CS224N 【2019】课程的【所有】相关的资料。感谢Chris Manning教授和Abigail See，感谢所有助教！
课程所有资料所有权属于斯坦福大学。

Usage:

In the environment of git installed, use the command as follows:
$git clone https://github.com/zhanlaoban/CS224N-Stanford-Winter-2019
And you will get all the materials of this excellent course.
Or, just click the green button "Clone or download" of this repo, then choose the "Download Zip", and you will get them.

使用方法：

在git已安装的环境中，使用以下命令：
$git clone https://github.com/zhanlaoban/CS224N-Stanford-Winter-2019
你就会得到这门课程的所有的相关资料。
或者，点击该仓库中绿色“Clone or download”按钮，再选择“Download Zip”，也会得到同样效果。

Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
Additional-Final Project Report		Additional-Final Project Report
Additional-Final project poster session		Additional-Final project poster session
Additional-Project Milestone		Additional-Project Milestone
Additional-Python review session		Additional-Python review session
Assignment 1 Introduction to word vectors		Assignment 1 Introduction to word vectors
Assignment 2 Derivatives and implementation of word2vec algorithm		Assignment 2 Derivatives and implementation of word2vec algorithm
Assignment 3 Dependency parsing and neural network foundations		Assignment 3 Dependency parsing and neural network foundations
Assignment 4 Neural Machine Translation with sequence-to-sequence and attention		Assignment 4 Neural Machine Translation with sequence-to-sequence and attention
Assignment 5 Neural Machine Translation with ConvNets and subword modeling		Assignment 5 Neural Machine Translation with ConvNets and subword modeling
Default Final Project		Default Final Project
Lecture 01 Introduction and Word Vectors		Lecture 01 Introduction and Word Vectors
Lecture 02 Word Vectors 2 and Word Senses		Lecture 02 Word Vectors 2 and Word Senses
Lecture 03 Word Window Classification, Neural Networks, and Matrix Calculus		Lecture 03 Word Window Classification, Neural Networks, and Matrix Calculus
Lecture 04 Backpropagation and Computation Graphs		Lecture 04 Backpropagation and Computation Graphs
Lecture 05 Linguistic Structure Dependency Parsing		Lecture 05 Linguistic Structure Dependency Parsing
Lecture 06 The probability of a sentence Recurrent Neural Networks and Language Models		Lecture 06 The probability of a sentence Recurrent Neural Networks and Language Models
Lecture 07 Vanishing Gradients and Fancy RNNs		Lecture 07 Vanishing Gradients and Fancy RNNs
Lecture 08 Machine Translation, Seq2Seq and Attention		Lecture 08 Machine Translation, Seq2Seq and Attention
Lecture 09 Practical Tips for Final Projects		Lecture 09 Practical Tips for Final Projects
Lecture 10 Question Answering and the Default Final Project		Lecture 10 Question Answering and the Default Final Project
Lecture 11 ConvNets for NLP		Lecture 11 ConvNets for NLP
Lecture 12 Information from parts of words Subword Models		Lecture 12 Information from parts of words Subword Models
Lecture 13 Modeling contexts of use Contextual Representations and Pretraining		Lecture 13 Modeling contexts of use Contextual Representations and Pretraining
Lecture 14 Transformers and Self-Attention For Generative Models		Lecture 14 Transformers and Self-Attention For Generative Models
Lecture 15 Natural Language Generation		Lecture 15 Natural Language Generation
Lecture 16 Reference in Language and Coreference Resolution		Lecture 16 Reference in Language and Coreference Resolution
Lecture 18 Constituency Parsing and Tree Recursive Neural Networks		Lecture 18 Constituency Parsing and Tree Recursive Neural Networks
Lecture 19 Safety, Bias, and Fairness		Lecture 19 Safety, Bias, and Fairness
Lecture 20 Future of NLP + Deep Learning		Lecture 20 Future of NLP + Deep Learning
README.md		README.md
课程主页1.png		课程主页1.png
课程主页2.png		课程主页2.png

zhanlaoban/CS224N-Stanford-Winter-2019

Folders and files

Latest commit

History

Repository files navigation

CS224N-Stanford-Winter-2019

Usage:

使用方法：

About

Topics

Resources

Stars

Watchers

Forks