推荐｜斯坦福CS224N（2017）深度学习自然语言处理课程（视频）

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这是斯坦福CS224N（2017）深度学习自然语言处理课程（视频），欢迎收藏和分享。

Lecture 1 | Natural Language Processing with Deep Learning

https://www.youtube.com/watch?v=OQQ-W_63UgQ&list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6

Lecture 2 | Word Vector Representations: word2vec

https://www.youtube.com/watch?v=ERibwqs9p38

Lecture 3 | GloVe: Global Vectors for Word Representation

https://www.youtube.com/watch?v=ASn7ExxLZws&index=3&list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6

Lecture 4: Word Window Classification and Neural Networks

https://www.youtube.com/watch?v=uc2_iwVqrRI&index=4&list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6

Lecture 5: Backpropagation and Project Advice

https://www.youtube.com/watch?v=isPiE-DBagM&index=5&list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6

Lecture 6: Dependency Parsing

https://www.youtube.com/watch?v=PVShkZgXznc&index=6&list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6

Lecture 7: Introduction to TensorFlow

https://www.youtube.com/watch?v=PicxU81owCs&list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6&index=7

Lecture 8: Recurrent Neural Networks and Language Models

https://www.youtube.com/watch?v=Keqep_PKrY8&list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6&index=8

Lecture 9: Machine Translation and Advanced Recurrent LSTMs and GRUs

https://www.youtube.com/watch?v=QuELiw8tbx8&list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6&index=9

Review Session: Midterm Review

https://www.youtube.com/watch?v=2DYxT4OMAmw&index=10&list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6

Lecture 10: Neural Machine Translation and Models with Attention

https://www.youtube.com/watch?v=IxQtK2SjWWM&index=11&list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6

Lecture 11: Gated Recurrent Units and Further Topics in NMT

https://www.youtube.com/watch?v=6_MO12fPC-0&list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6&index=12

Lecture 12: End-to-End Models for Speech Processing

https://www.youtube.com/watch?v=3MjIkWxXigM&index=13&list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6

Lecture 13: Convolutional Neural Networks

https://www.youtube.com/watch?v=Lg6MZw_OOLI&index=14&list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6

Lecture 14: Tree Recursive Neural Networks and Constituency Parsing

https://www.youtube.com/watch?v=RfwgqPkWZ1w&list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6&index=15

Lecture 15: Coreference Resolution

https://www.youtube.com/watch?v=rpwEWLaueRk&index=16&list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6

Lecture 16: Dynamic Neural Networks for Question Answering

https://www.youtube.com/watch?v=T3octNTE7Is&index=17&list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6

Lecture 17: Issues in NLP and Possible Architectures for NLP

https://www.youtube.com/watch?v=B4v545V3Dq0&index=18&list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6

Lecture 18: Tackling the Limits of Deep Learning for NLP

https://www.youtube.com/watch?v=JYwNmSe4HqE&index=19&list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6

国内不能翻墙的同学，可以访问：https://space.bilibili.com/23852932/#!/channel/detail?cid=11177

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