【双语字幕】斯坦福CS224n《深度学习自然语言处理》课程(2019) by Chris Manning
http://t.cn/EMTUbAh
“CS224n: Natural Language Processing with Deep Learning” by Chris Manning http://t.cn/EMTUbwd videos:http://t.cn/EMTUbAh
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Lecture 1 – Introduction and Word Vectors
01:21:52
Lecture 2 – Word Vectors and Word Senses
01:20:44
Lecture 3 – Neural Networks
01:18:51
Lecture 4 – Backpropagation
01:22:16
Lecture 5 – Dependency Parsing
01:20:23
Lecture 6 – Language Models and RNNs
01:08:25
Lecture 7 – Vanishing Gradients, Fancy RNNs
01:13:23
Lecture 8 – Translation, Seq2Seq, Attention
01:17:29
Lecture 9 – Practical Tips for Projects
01:22:40
Lecture 10 – Question Answering
01:21:01
Lecture 11 – Convolutional Networks for NLP
01:20:19
Lecture 12 – Subword Models
01:15:30
Lecture 13 – Contextual Word Embeddings
01:20:19
Lecture 14 – Transformers and Self-Attention
53:48
Lecture 15 – Natural Language Generation
01:19:38
Lecture 16 – Coreference Resolution
01:19:21
Lecture 17 – Multitask Learning
01:11:54
Lecture 18 – Constituency Parsing, TreeRNNs
01:20:38
Lecture 19 – Bias in AI
56:03
Lecture 20 – Future of NLP Deep Learning
01:19:15
BERT and Other Pre-trained Language Models
54:28
Low Resource Machine Translation
01:15:45
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