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CS224n Natural Language Processing with Deep Learning

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  2. File Size：11.05 GB
  3. Creat Time：2024-07-24
  4. Active Degree：5
  5. Last Active：2024-08-19
  6. File Tags：CS224n  Natural  Language  Processing  with  Deep  Learning  
  7. Statement：This site does not provide download links, only text displays, and does not contain any infringement.
File List:

    CS224n Natural Language Processing with Deep Learning

  1. 02 Word Vector Representations word2vec/Lecture 2 Word Vector Representations_ word2vec.mp4 832.95 MB
  2. 11 Gated recurrent units and further topics in NMT/Lecture 11 Gated Recurrent Units and Further Topics in NMT.mp4 763.82 MB
  3. 08 Recurrent Neural Networks and Language Models/Lecture 8 Recurrent Neural Networks and Language Models.mp4 763.49 MB
  4. 15 Coreference Resolution/Lecture 15 Coreference Resolution.mp4 758.87 MB
  5. 06 Dependency Parsing/Lecture 6 Dependency Parsing.mp4 738.87 MB
  6. 01 Introduction to NLP and Deep Learning/Lecture 1 Natural Language Processing with Deep Learning.mp4 708.82 MB
  7. 13 Convolutional Neural Networks/Lecture 13 Convolutional Neural Networks.mp4 676.82 MB
  8. 09 Machine translation and advanced recurrent LSTMs and GRUs/Lecture 9 Machine Translation and Advanced Recurrent LSTMs and GRUs.mp4 601.29 MB
  9. 03 Advanced Word Vector Representations/Lecture 3 GloVe_ Global Vectors for Word Representation.mp4 564.71 MB
  10. Midterm Review/Review Session- Midterm Review.mp4 555.54 MB
  11. 18 Tackling the Limits of Deep Learning for NLP/Lecture 18 Tackling the Limits of Deep Learning for NLP.mp4 481.13 MB
  12. 16 Dynamic Neural Networks for Question Answering/Lecture 16 Dynamic Neural Networks for Question Answering.mp4 470.20 MB
  13. 05 Backpropagation and Project Advice/Lecture 5 Backpropagation and Project Advice.mp4 428.80 MB
  14. 04 Word Window Classification and Neural Networks/Lecture 4 Word Window Classification and Neural Networks.mp4 384.06 MB
  15. 10 Neural Machine Translation and Models with Attention/Lecture 10 Neural Machine Translation and Models with Attention.mp4 374.08 MB
  16. 14 Tree Recursive Neural Networks and Constituency Parsing/Lecture 14- Tree Recursive Neural Networks and Constituency Parsing.mp4 358.89 MB
  17. 17 Issues in NLP and Possible Architectures for NLP/Lecture 17 Issues in NLP and Possible Architectures for NLP.mp4 319.80 MB
  18. 07 Introduction to TensorFlow/Lecture 7 Introduction to TensorFlow.mp4 300.49 MB
  19. 12 End-to-end models for Speech Processing/Lecture 12 End-to-End Models for Speech Processing.mp4 272.58 MB
  20. assignments/assignment1/utils/datasets/glove.6B.50d.txt 167.33 MB
  21. assignments/assignment2/data/en-cw.txt 59.11 MB
  22. assignments/assignment3/data/wordVectors.txt 46.59 MB
  23. assignments/assignment2/data/train.conll 30.23 MB
  24. assignments/assignment2/data/train.gold.conll 30.23 MB
  25. 12 End-to-end models for Speech Processing/cs224n-2017-lecture12.pdf 29.57 MB
  26. assignments/.git/objects/be/4887dd7a0650d8e1cce06a62bbf3d414115611 28.03 MB
  27. assignments/assignment2/data/weights/parser.weights.data-00000-of-00001 27.45 MB
  28. assignments/.git/objects/2a/fdc947bba871dceb04efa98d002a6cc7862764 17.42 MB
  29. 18 Tackling the Limits of Deep Learning for NLP/cs224n-2017-lecture18.pdf 17.20 MB
  30. 11 Gated recurrent units and further topics in NMT/cs224n-2017-lecture11.pdf 15.62 MB
  31. 10 Neural Machine Translation and Models with Attention/cs224n-2017-lecture10.pdf 14.35 MB
  32. 01 Introduction to NLP and Deep Learning/cs224n-2017-lecture1.pdf 12.23 MB
  33. assignments/assignment3/results/gru/20170703_123247/model.weights.data-00000-of-00001 12.22 MB
  34. assignments/assignment3/results/gru/20170703_112643/model.weights.data-00000-of-00001 12.22 MB
  35. assignments/assignment1/utils/datasets/stanfordSentimentTreebank/dictionary.txt 11.73 MB
  36. cs224n-winter17-notes/.git/objects/pack/pack-b70a2793a2a7af820907d43d6c58f7288061bee4.pack 11.66 MB
  37. 17 Issues in NLP and Possible Architectures for NLP/cs224n-2017-lecture17.pdf 11.33 MB
  38. 15 Coreference Resolution/cs224n-2017-lecture15.pdf 10.79 MB
  39. assignments/assignment1/saved_params_40000.npy 9.00 MB
  40. assignments/assignment1/saved_params_30000.npy 8.99 MB
  41. assignments/assignment1/saved_params_35000.npy 8.99 MB
  42. assignments/assignment1/saved_params_25000.npy 8.99 MB
  43. assignments/assignment1/saved_params_20000.npy 8.99 MB
  44. assignments/assignment1/saved_params_10000.npy 8.99 MB
  45. assignments/assignment1/saved_params_15000.npy 8.99 MB
  46. assignments/assignment1/saved_params_5000.npy 8.84 MB
  47. 09 Machine translation and advanced recurrent LSTMs and GRUs/cs224n-2017-lecture9.pdf 8.29 MB
  48. assignments/.git/objects/ec/05636daa46cc1173a957d746ff1ba9cee23a90 8.25 MB
  49. assignments/.git/objects/cf/86de183521de6679f0e5a9f40064fbbcea6f06 8.20 MB
  50. assignments/assignment3/results/rnn/20170703_090925/model.weights.data-00000-of-00001 7.99 MB
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