文件名称：2019 最新斯坦福CS224n课件.rar
文件大小：287.68MB
文件格式：RAR
更新时间：2023-09-04 05:51:14
自然语言处理
2019 cs224n 最新课件（包括ppt+note+homework），课程主要对接stanford cs224n 2019年最新课程
【文件预览】：
2019 最新斯坦福CS224n课件
----10、Question Answering and the Default Final Project()
--------cs224n-2019-lecture10-QA.pdf(14.51MB)
----15、Natural Language Generation()
--------cs224n-2019-lecture15-nlg.pdf(29.51MB)
----19、Safety, Bias, and Fairness (guest lecture by Margaret Mitchell)()
--------cs224n-2019-lecture19-bias.pdf(11.41MB)
----Python review session()
--------python-review.pdf(234KB)
----18、Constituency Parsing and Tree Recursive Neural Networks()
--------cs224n-2019-lecture18-TreeRNNs.pdf(19.56MB)
----作业1、2、3、4()
--------作业5需要斯坦福登录 有兴趣的请自行前往官网查看()
--------a3讲义.pdf(319KB)
--------a4讲义.pdf(339KB)
--------a2讲义.pdf(286KB)
--------a5讲义.pdf(431KB)
--------a3.zip(37.11MB)
--------a2.zip(11KB)
--------a1.zip(60KB)
--------a4.zip(14.39MB)
----12、Information from parts of words Subword Models()
--------cs224n-2019-lecture12-subwords.pdf(16.32MB)
----1、Introduction and Word Vectors()
--------Gensim单词向量示例.zip(2KB)
--------cs224n-2019-notes01-wordvecs1.pdf(354KB)
--------cs224n-2019-lecture01-wordvecs1.pdf(8.41MB)
----20、Future of NLP + Deep Learning()
--------cs224n-2019-lecture20-future.pdf(25.75MB)
----5、Linguistic Structure Dependency Parsing()
--------cs224n-2019-notes04-dependencyparsing.pdf(187KB)
--------cs224n-2019-lecture05-dep-parsing-scrawls.pdf(20.18MB)
--------cs224n-2019-lecture05-dep-parsing.pdf(16.54MB)
----2、Word Vectors 2 and Word Senses()
--------cs224n-2019-notes02-wordvecs2笔记.pdf(473KB)
--------cs224n-2019-lecture02-wordvecs2.pdf(16MB)
----7、Vanishing Gradients and Fancy RNNs()
--------cs224n-2019-notes05-LM_RNN.pdf(1.42MB)
--------cs224n-2019-lecture07-fancy-rnn.pdf(1.42MB)
----8、Machine Translation, Seq2Seq and Attention()
--------cs224n-2019-lecture08-nmt.pdf(2.27MB)
--------cs224n-2019-notes06-NMT_seq2seq_attention.pdf(580KB)
----17、Multitask Learning A general model for NLP (guest lecture by Richard Socher)()
--------cs224n-2019-lecture17-multitask.pdf(4.4MB)
----4、Backpropagation and Computation Graphs()
--------cs224n-2019-lecture04-backprop.pdf(11.09MB)
--------cs224n-2019-notes03-neuralnets.pdf(585KB)
----9、Practical Tips for Final Projects()
--------cs224n-2019-lecture09-final-projects.pdf(19.38MB)
--------final-project-practical-tips.pdf(183KB)
----14、Transformers and Self-Attention For Generative Models()
--------cs224n-2019-lecture14-transformers.pdf(3.62MB)
----13、Modeling contexts of use Contextual Representations and Pretraining()
--------cs224n-2019-lecture13-contextual-representations.pdf(23.52MB)
----6、The probability of a sentence Recurrent Neural Networks and Language Models()
--------cs224n-2019-notes05-LM_RNN.pdf(1.42MB)
--------cs224n-2019-lecture06-rnnlm.pdf(1.99MB)
----16、Reference in Language and Coreference Resolution()
--------cs224n-2019-lecture16-coref.pdf(15.9MB)
----3、Word Window Classification, Neural Networks, and Matrix Calculus()
--------gradient-notes.pdf(198KB)
--------cs224n-2019-notes03-neuralnets.pdf(585KB)
--------cs224n-2019-lecture03-neuralnets.pdf(13.97MB)
----11、ConvNets for NLP()
--------cs224n-2019-lecture11-convnets.pdf(9.86MB)