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斯坦福CS224n追剧计划-Week10:成分句法分析与树递归神经网络
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简介
Stanford CS224n追剧计划是由夕小瑶的卖萌屋发起的开源开放NLP入门项目,借助github和微信群为大家提供同期小伙伴打卡讨论、内容沉淀、作业笔记和FAQ共享、连线斯坦福等服务。关于该计划的详请见这里 。
1. Github项目地址
https://github.com/xixiaoyao/CS224n-winter-together
2. Stanford CS224n追剧群
扫码添加小夕微信,回复口令追剧入群。
课程大纲
课程计划一共持续11周,进度如下:
week1:Introduction and Word Vectors week2:Word Vectors 2 and Word Senses/Word Window Classification and Neural Networks week3:Matrix Calculus and Backpropagation/ Linguistic Structure : Dependency Parsing week4:The probability of a sentence? Recurrent Neural Networks and Language Models/ Vanishing Gradients and Fancy RNNs week5: Machine Translation, Seq2Seq and Attention / Practical Tips for Final Projects week6: Question Answering, the Default Final Project, and an introduction to Transformer architectures / ConvNets for NLP week7: Information from parts of words / Contextual Word Representations- BERT week8:Modeling contexts of use: Contextual Representations and Pretraining / Natural Language Generation week9:Reference in Language and Coreference Resolution / Fairness and Inclusion in AI week10:Constituency Parsing and Tree Recursive Neural Networks / Safety, Bias, and Fairness 【本周】
本期内容
Constituency Parsing and Tree Recursive Neural Networks(成分句法分析与树递归神经网络)
课后作业:无
Safety, Bias, and Fairness (安全,偏见和公平)
GitHub访问困难的小伙伴也可以在订阅号「夕小瑶的卖萌屋」后台回复【week10】获取本期课程ppt等资料。
还在等什么,拉上身边的小伙伴,一起上车打卡学习鸭~~
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