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CS224n Natural Language Processing with Deep Learning

14 Tree Recursive Neural Networks and Constituency Parsing Deep Reinforcement Learning for Dialogue Generation pdf

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CS224n Natural Language Processing with Deep Learning

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11.5 GB

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528

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CC69879874B8F098B313AC73D7E6A66386833FB1

/14 Tree Recursive Neural Networks and Constituency Parsing/Deep Reinforcement Learning for Dialogue Generation.pdf

5.2 MB

/14 Tree Recursive Neural Networks and Constituency Parsing/Parsing with Compositional Vector Grammars.pdf

562.1 KB

/14 Tree Recursive Neural Networks and Constituency Parsing/cs224n-2017-lecture14-highlight.pdf

433.5 KB

/14 Tree Recursive Neural Networks and Constituency Parsing/cs224n-2017-lecture14-TreeRNNs.pdf

6.1 MB

/14 Tree Recursive Neural Networks and Constituency Parsing/cs224n-2017-notes7.pdf

1.3 MB

/14 Tree Recursive Neural Networks and Constituency Parsing/CS224n笔记14 Tree RNN与短语句法分析.url

0.2 KB

/14 Tree Recursive Neural Networks and Constituency Parsing/Lecture 14- Tree Recursive Neural Networks and Constituency Parsing.mp4

367.5 MB

/14 Tree Recursive Neural Networks and Constituency Parsing/Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank.pdf

1.3 MB

/14 Tree Recursive Neural Networks and Constituency Parsing/Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks.pdf

422.1 KB

/08 Recurrent Neural Networks and Language Models/cs224n-2017-lecture8-highlight.pdf

550.8 KB

/08 Recurrent Neural Networks and Language Models/cs224n-2017-lecture8.pdf

3.7 MB

/13 Convolutional Neural Networks/Convolutional Neural Networks for Sentence Classification.pdf

180.6 KB

/15 Coreference Resolution/Deep Reinforcement Learning for Mention-Ranking Coreference Models.pdf

1.2 MB

/08 Recurrent Neural Networks and Language Models/Lecture 8 Recurrent Neural Networks and Language Models.mp4

781.8 MB

/13 Convolutional Neural Networks/A Convolutional Neural Network for Modelling Sentences.pdf

343.1 KB

 

Showing first 15 files of 528 total files


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