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CS224n Natural Language Processing with Deep Learning

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  • 文件大小:11GB
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  • 最近下载:2021-01-08 18:11:09
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文件列表

  1. 02 Word Vector Representations word2vec/Lecture 2 Word Vector Representations_ word2vec.mp4 813MB
  2. 11 Gated recurrent units and further topics in NMT/Lecture 11 Gated Recurrent Units and Further Topics in NMT.mp4 746MB
  3. 08 Recurrent Neural Networks and Language Models/Lecture 8 Recurrent Neural Networks and Language Models.mp4 746MB
  4. 15 Coreference Resolution/Lecture 15 Coreference Resolution.mp4 741MB
  5. 06 Dependency Parsing/Lecture 6 Dependency Parsing.mp4 722MB
  6. 01 Introduction to NLP and Deep Learning/Lecture 1 Natural Language Processing with Deep Learning.mp4 692MB
  7. 13 Convolutional Neural Networks/Lecture 13 Convolutional Neural Networks.mp4 661MB
  8. 09 Machine translation and advanced recurrent LSTMs and GRUs/Lecture 9 Machine Translation and Advanced Recurrent LSTMs and GRUs.mp4 587MB
  9. 03 Advanced Word Vector Representations/Lecture 3 GloVe_ Global Vectors for Word Representation.mp4 551MB
  10. Midterm Review/Review Session- Midterm Review.mp4 543MB
  11. 18 Tackling the Limits of Deep Learning for NLP/Lecture 18 Tackling the Limits of Deep Learning for NLP.mp4 470MB
  12. 16 Dynamic Neural Networks for Question Answering/Lecture 16 Dynamic Neural Networks for Question Answering.mp4 459MB
  13. 05 Backpropagation and Project Advice/Lecture 5 Backpropagation and Project Advice.mp4 419MB
  14. 04 Word Window Classification and Neural Networks/Lecture 4 Word Window Classification and Neural Networks.mp4 375MB
  15. 10 Neural Machine Translation and Models with Attention/Lecture 10 Neural Machine Translation and Models with Attention.mp4 365MB
  16. 14 Tree Recursive Neural Networks and Constituency Parsing/Lecture 14- Tree Recursive Neural Networks and Constituency Parsing.mp4 350MB
  17. 17 Issues in NLP and Possible Architectures for NLP/Lecture 17 Issues in NLP and Possible Architectures for NLP.mp4 312MB
  18. 07 Introduction to TensorFlow/Lecture 7 Introduction to TensorFlow.mp4 293MB
  19. 12 End-to-end models for Speech Processing/Lecture 12 End-to-End Models for Speech Processing.mp4 266MB
  20. assignments/assignment1/utils/datasets/glove.6B.50d.txt 163MB
  21. assignments/assignment2/data/en-cw.txt 58MB
  22. assignments/assignment3/data/wordVectors.txt 45MB
  23. assignments/assignment2/data/train.conll 30MB
  24. assignments/assignment2/data/train.gold.conll 30MB
  25. 12 End-to-end models for Speech Processing/cs224n-2017-lecture12.pdf 29MB
  26. assignments/.git/objects/be/4887dd7a0650d8e1cce06a62bbf3d414115611 27MB
  27. assignments/assignment2/data/weights/parser.weights.data-00000-of-00001 27MB
  28. assignments/.git/objects/2a/fdc947bba871dceb04efa98d002a6cc7862764 17MB
  29. 18 Tackling the Limits of Deep Learning for NLP/cs224n-2017-lecture18.pdf 17MB
  30. 11 Gated recurrent units and further topics in NMT/cs224n-2017-lecture11.pdf 15MB
  31. 10 Neural Machine Translation and Models with Attention/cs224n-2017-lecture10.pdf 14MB
  32. 01 Introduction to NLP and Deep Learning/cs224n-2017-lecture1.pdf 12MB
  33. assignments/assignment3/results/gru/20170703_123247/model.weights.data-00000-of-00001 12MB
  34. assignments/assignment3/results/gru/20170703_112643/model.weights.data-00000-of-00001 12MB
  35. assignments/assignment1/utils/datasets/stanfordSentimentTreebank/dictionary.txt 11MB
  36. cs224n-winter17-notes/.git/objects/pack/pack-b70a2793a2a7af820907d43d6c58f7288061bee4.pack 11MB
  37. 17 Issues in NLP and Possible Architectures for NLP/cs224n-2017-lecture17.pdf 11MB
  38. 15 Coreference Resolution/cs224n-2017-lecture15.pdf 11MB
  39. assignments/assignment1/saved_params_40000.npy 9MB
  40. assignments/assignment1/saved_params_30000.npy 9MB
  41. assignments/assignment1/saved_params_35000.npy 9MB
  42. assignments/assignment1/saved_params_25000.npy 9MB
  43. assignments/assignment1/saved_params_20000.npy 9MB
  44. assignments/assignment1/saved_params_10000.npy 9MB
  45. assignments/assignment1/saved_params_15000.npy 9MB
  46. assignments/assignment1/saved_params_5000.npy 9MB
  47. 09 Machine translation and advanced recurrent LSTMs and GRUs/cs224n-2017-lecture9.pdf 8MB
  48. assignments/.git/objects/ec/05636daa46cc1173a957d746ff1ba9cee23a90 8MB
  49. assignments/.git/objects/cf/86de183521de6679f0e5a9f40064fbbcea6f06 8MB
  50. assignments/assignment3/results/rnn/20170703_090925/model.weights.data-00000-of-00001 8MB
  51. assignments/assignment2/data/weights/parser.weights.meta 8MB
  52. 07 Introduction to TensorFlow/Visual Dialog.pdf 7MB
  53. assignments/assignment3/results/window/20170702_193912/model.weights.data-00000-of-00001 7MB
  54. assignments/assignment3/results/gru/20170703_123247/model.weights.meta 7MB
  55. 16 Dynamic Neural Networks for Question Answering/cs224n-2017-lecture16-DMN-QA.pdf 7MB
  56. assignments/assignment3/results/gru/20170703_112643/model.weights.meta 7MB
  57. assignments/assignment3/results/window/20170702_193730/model.weights.data-00000-of-00001 7MB
  58. 13 Convolutional Neural Networks/cs224n-2017-lecture13-CNNs.pdf 7MB
  59. 03 Advanced Word Vector Representations/cs224n-2017-lecture3.pdf 6MB
  60. assignments/assignment3/results/window/20170702_193234/model.weights.data-00000-of-00001 6MB
  61. assignments/assignment3/results/window/20170702_194019/model.weights.data-00000-of-00001 6MB
  62. assignments/assignment3/results/window/20170702_192143/model.weights.data-00000-of-00001 6MB
  63. assignments/assignment3/results/window/20170702_192948/model.weights.data-00000-of-00001 6MB
  64. assignments/assignment3/results/window/20170702_191726/model.weights.data-00000-of-00001 6MB
  65. 14 Tree Recursive Neural Networks and Constituency Parsing/cs224n-2017-lecture14-TreeRNNs.pdf 6MB
  66. 14 Tree Recursive Neural Networks and Constituency Parsing/Deep Reinforcement Learning for Dialogue Generation.pdf 5MB
  67. assignments/assignment3/results/rnn/20170703_090925/model.weights.meta 4MB
  68. assignments/assignment3/results/rnn/20170702_213222/model.weights.meta 4MB
  69. assignments/assignment3/results/rnn/20170702_210148/model.weights.meta 4MB
  70. assignments/assignment3/results/rnn/20170702_203928/model.weights.meta 4MB
  71. assignments/assignment3/results/rnn/20170702_220540/model.weights.meta 4MB
  72. 05 Backpropagation and Project Advice/cs224n-2017-lecture5.pdf 4MB
  73. 08 Recurrent Neural Networks and Language Models/cs224n-2017-lecture8.pdf 4MB
  74. 04 Word Window Classification and Neural Networks/cs224n-2017-lecture4.pdf 3MB
  75. 06 Dependency Parsing/cs224n-2017-lecture6.pdf 3MB
  76. assignments/assignment1/utils/datasets/stanfordSentimentTreebank/sentiment_labels.txt 3MB
  77. 17 Issues in NLP and Possible Architectures for NLP/Learning to Compose Neural Networks for Question Answering.pdf 3MB
  78. 02 Word Vector Representations word2vec/cs224n-2017-lecture2.pdf 3MB
  79. 01 Introduction to NLP and Deep Learning/cs224n-2017-lecture1.docx 3MB
  80. Midterm Review/cs224n-midterm-review.pdf 3MB
  81. 18 Tackling the Limits of Deep Learning for NLP/Hybrid computing using a neural network with dynamic external memory.pdf 3MB
  82. 10 Neural Machine Translation and Models with Attention/Google’s Multilingual Neural Machine Translation System- Enabling Zero-Shot Translation.pdf 3MB
  83. 03 Advanced Word Vector Representations/glove.pdf 2MB
  84. 07 Introduction to TensorFlow/cs224n-2017-tensorflow.pdf 2MB
  85. assignments/assignment3/results/rnn/20170702_213222/model.weights.data-00000-of-00001 2MB
  86. assignments/assignment3/results/rnn/20170702_210148/model.weights.data-00000-of-00001 2MB
  87. assignments/assignment3/results/rnn/20170702_203928/model.weights.data-00000-of-00001 2MB
  88. assignments/assignment3/results/rnn/20170702_220540/model.weights.data-00000-of-00001 2MB
  89. 07 Introduction to TensorFlow/cs224n-2017-lecture7-highlight.pdf 2MB
  90. assignments/assignment3/results/window/20170702_194019/model.weights.meta 2MB
  91. assignments/assignment3/results/window/20170702_192143/model.weights.meta 2MB
  92. assignments/assignment3/results/window/20170702_193730/model.weights.meta 2MB
  93. assignments/assignment3/results/window/20170702_191726/model.weights.meta 2MB
  94. assignments/assignment3/results/window/20170702_193234/model.weights.meta 2MB
  95. assignments/assignment3/results/window/20170702_193912/model.weights.meta 2MB
  96. assignments/assignment3/results/window/20170702_192948/model.weights.meta 2MB
  97. 11 Gated recurrent units and further topics in NMT/Lip Reading Sentences in the Wild.pdf 2MB
  98. assignments/assignment2/data/test.conll 2MB
  99. assignments/assignment2/data/test.gold.conll 2MB
  100. 09 Machine translation and advanced recurrent LSTMs and GRUs/cs224n-2017-lecture9-highlight.pdf 2MB
  101. 13 Convolutional Neural Networks/cs224n-2017-lecture13-highlight.pdf 2MB
  102. assignments/assignment3/data/train.conll 2MB
  103. 16 Dynamic Neural Networks for Question Answering/cs224n-2017-lecture16-highlight.pdf 1MB
  104. 17 Issues in NLP and Possible Architectures for NLP/cs224n-2017-lecture17-highlight.pdf 1MB
  105. 18 Tackling the Limits of Deep Learning for NLP/Neural Turing Machines.pdf 1MB
  106. 14 Tree Recursive Neural Networks and Constituency Parsing/cs224n-2017-notes7.pdf 1MB
  107. cs224n-winter17-notes/notes7.pdf 1MB
  108. assignments/assignment1/utils/datasets/stanfordSentimentTreebank/STree.txt 1MB
  109. 14 Tree Recursive Neural Networks and Constituency Parsing/Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank.pdf 1MB
  110. assignments/assignment2/data/dev.gold.conll 1MB
  111. assignments/assignment2/data/dev.conll 1MB
  112. 11 Gated recurrent units and further topics in NMT/cs224n-2017-lecture11-highlight.pdf 1MB
  113. assignments/assignment1/utils/datasets/stanfordSentimentTreebank/datasetSentences.txt 1MB
  114. assignments/assignment1/utils/datasets/stanfordSentimentTreebank/SOStr.txt 1MB
  115. assignments/assignment1/utils/datasets/stanfordSentimentTreebank/original_rt_snippets.txt 1MB
  116. 15 Coreference Resolution/Deep Reinforcement Learning for Mention-Ranking Coreference Models.pdf 1MB
  117. cs224n-winter17-notes/notes5.pdf 1MB
  118. 09 Machine translation and advanced recurrent LSTMs and GRUs/cs224n-2017-notes5.pdf 1MB
  119. 06 Dependency Parsing/(Synthesis Lectures on Human Language Technologies) Sandra Kubler, Ryan McDonald, Joakim Nivre, Graeme Hirst-Dependency parsing-Morgan and Claypool Publishers (2009).pdf 1MB
  120. 18 Tackling the Limits of Deep Learning for NLP/cs224n-2017-lecture18-highlight.pdf 1MB
  121. 06 Dependency Parsing/cs224n-2017-lecture6-highlight.pdf 908KB
  122. assignments/assignment3/results/gru/20170703_112643/results.txt 857KB
  123. assignments/assignment3/results/gru/20170703_123247/results.txt 857KB
  124. assignments/assignment3/results/rnn/20170702_213222/results.txt 857KB
  125. assignments/assignment3/results/rnn/20170702_210148/results.txt 857KB
  126. assignments/assignment3/results/rnn/20170702_203928/results.txt 857KB
  127. assignments/assignment3/results/window/20170702_193912/results.txt 857KB
  128. assignments/assignment3/results/rnn/20170703_090925/results.txt 857KB
  129. assignments/assignment3/results/window/20170702_194019/results.txt 857KB
  130. assignments/assignment3/results/window/20170702_192948/results.txt 857KB
  131. assignments/assignment3/results/window/20170702_193730/results.txt 857KB
  132. assignments/assignment3/results/window/20170702_191726/results.txt 857KB
  133. assignments/assignment3/results/window/20170702_193234/results.txt 857KB
  134. assignments/assignment3/results/window/20170702_192143/results.txt 857KB
  135. assignments/assignment3/data/vocab.txt 816KB
  136. 16 Dynamic Neural Networks for Question Answering/Learning Program Embeddings to Propagate Feedback on Student Code.pdf 750KB
  137. 05 Backpropagation and Project Advice/A Primer on Neural Network Models for Natural Language Processing.pdf 702KB
  138. 08 Recurrent Neural Networks and Language Models/Structured Training for Neural Network Transition-Based Parsing.pdf 664KB
  139. 03 Advanced Word Vector Representations/Linear Algebraic Structure of Word Senses, with Applications to Polysemy.pdf 662KB
  140. 04 Word Window Classification and Neural Networks/cs224n-2017-notes3.pdf 613KB
  141. cs224n-winter17-notes/notes3.pdf 593KB
  142. cs224n-winter17-notes/notes6.pdf 581KB
  143. 11 Gated recurrent units and further topics in NMT/cs224n-2017-notes6.pdf 580KB
  144. assignments/.git/objects/0e/1d5d3f97eb276f65edb3f62763ed1ce52f937c 576KB
  145. assignments/assignment2/q2_test.predicted.pkl 572KB
  146. 02 Word Vector Representations word2vec/cs224n-2017-lecture2-highlight.pdf 563KB
  147. 14 Tree Recursive Neural Networks and Constituency Parsing/Parsing with Compositional Vector Grammars.pdf 549KB
  148. 08 Recurrent Neural Networks and Language Models/cs224n-2017-lecture8-highlight.pdf 538KB
  149. assignments/assignment3/results/gru/20170703_112643/gru_predictions.conll 509KB
  150. assignments/assignment3/results/window/20170702_194019/window_predictions.conll 509KB
  151. assignments/assignment3/results/window/20170702_193234/window_predictions.conll 509KB
  152. assignments/assignment3/results/window/20170702_192948/window_predictions.conll 509KB
  153. assignments/assignment3/results/rnn/20170703_090925/rnn_predictions.conll 509KB
  154. assignments/assignment3/results/window/20170702_193912/window_predictions.conll 509KB
  155. assignments/assignment3/results/rnn/20170702_213222/rnn_predictions.conll 508KB
  156. assignments/assignment3/results/window/20170702_193730/window_predictions.conll 508KB
  157. assignments/assignment3/results/window/20170702_191726/window_predictions.conll 508KB
  158. assignments/assignment3/results/window/20170702_192143/window_predictions.conll 508KB
  159. assignments/assignment3/results/rnn/20170702_210148/rnn_predictions.conll 508KB
  160. assignments/assignment3/results/gru/20170703_123247/gru_predictions.conll 508KB
  161. assignments/assignment3/results/rnn/20170702_203928/rnn_predictions.conll 508KB
  162. cs224n-winter17-notes/notes7/fig/CNN-alternates.png 508KB
  163. assignments/.git/objects/55/400697e3fe5195ea2235d9ac6c87cdd411a0a4 492KB
  164. assignments/.git/objects/94/034052a59891ae14adc31a7e88a5491a5f64fd 488KB
  165. cs224n-winter17-notes/notes2.pdf 479KB
  166. 03 Advanced Word Vector Representations/cs224n-2017-notes2.pdf 469KB
  167. 13 Convolutional Neural Networks/Character-Aware Neural Language Models.pdf 469KB
  168. assignments/.git/objects/19/d518f85ccf1d6237142fba003599039f9a9905 455KB
  169. 10 Neural Machine Translation and Models with Attention/NEURAL MACHINE TRANSLATION BY JOINTLY LEARNING TO ALIGN AND TRANSLATE.pdf 434KB
  170. 14 Tree Recursive Neural Networks and Constituency Parsing/cs224n-2017-lecture14-highlight.pdf 423KB
  171. 14 Tree Recursive Neural Networks and Constituency Parsing/Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks.pdf 412KB
  172. 11 Gated recurrent units and further topics in NMT/Pointing the Unknown Words.pdf 395KB
  173. assignments/assignment3/data/dev.conll 394KB
  174. 09 Machine translation and advanced recurrent LSTMs and GRUs/DATA NOISING AS SMOOTHING IN NEURAL NETWORK LANGUAGE MODELS.pdf 391KB
  175. Midterm Review/cs224n-practice-midterm-1.pdf 386KB
  176. 10 Neural Machine Translation and Models with Attention/cs224n-2017-lecture10-highlight.pdf 382KB
  177. 04 Word Window Classification and Neural Networks/Natural Language Processing (almost) from Scratch.pdf 371KB
  178. 01 Introduction to NLP and Deep Learning/cs224n-2017-notes1.pdf 350KB
  179. assignments/.git/objects/79/eaca281c18f4088b79024bc2bb25436d21b7e4 349KB
  180. cs224n-winter17-notes/notes1.pdf 349KB
  181. assignments/.git/objects/8d/65f745198fe802d7f41849f4de887ae40d6b20 346KB
  182. assignments/assignment3/assignment3-soln.pdf 345KB
  183. 04 Word Window Classification and Neural Networks/backprop_old.pdf 343KB
  184. assignments/assignment3/data/test.masked 338KB
  185. 13 Convolutional Neural Networks/A Convolutional Neural Network for Modelling Sentences.pdf 335KB
  186. assignments/.git/objects/d9/38d0752dd6c8306bb332d9c85ad87b171038a3 328KB
  187. 09 Machine translation and advanced recurrent LSTMs and GRUs/Exploring the Limits of Language Modeling.pdf 327KB
  188. Midterm Review/cs224n-practice-midterm-2.pdf 327KB
  189. assignments/assignment2/assignment2-soln.pdf 326KB
  190. 11 Gated recurrent units and further topics in NMT/On Using Very Large Target Vocabulary for Neural Machine Translation.pdf 320KB
  191. 02 Word Vector Representations word2vec/A SIMPLE BUT TOUGH-TO-BEAT BASELINE FOR SENTENCE EMBEDDINGS.pdf 316KB
  192. assignments/assignment2/assignment2.pdf 316KB
  193. assignments/.git/objects/07/2e73e82149cd2a80c3e411a5bc14388736e5f5 315KB
  194. assignments/.git/objects/d9/13441dd3139577c9aacd0672439fe0d034bc74 305KB
  195. assignments/assignment1/assignment1_soln.pdf 296KB
  196. cs224n-winter17-notes/tensorflow.pdf 291KB
  197. 07 Introduction to TensorFlow/cs224n-2017-tensorflow-notes.pdf 290KB
  198. 01 Introduction to NLP and Deep Learning/cs229-prob.pdf 286KB
  199. 03 Advanced Word Vector Representations/Improving Distributional Similarity with Lessons Learned from Word Embeddings.pdf 284KB
  200. assignments/.git/objects/73/5abbd6624f0cbde91edf758e20141e4e6323ce 282KB
  201. 06 Dependency Parsing/Improving Distributional Similarity with Lessons Learned from Word Embeddings.pdf 282KB
  202. 03 Advanced Word Vector Representations/Evaluation methods for unsupervised word embeddings.pdf 280KB
  203. cs224n-winter17-notes/notes5/fig/cliping.pdf 268KB
  204. 15 Coreference Resolution/Easy Victories and Uphill Battles in Coreference Resolution.pdf 267KB
  205. assignments/assignment3/results/gru/20170703_112643/features.pkl 229KB
  206. assignments/assignment3/results/rnn/20170702_223929/features.pkl 229KB
  207. assignments/assignment3/results/rnn/20170702_224032/features.pkl 229KB
  208. assignments/assignment3/results/rnn/20170703_090925/features.pkl 229KB
  209. assignments/assignment3/results/rnn/20170702_223821/features.pkl 229KB
  210. assignments/assignment3/results/rnn/20170702_220540/features.pkl 229KB
  211. assignments/assignment3/results/rnn/20170702_220424/features.pkl 229KB
  212. assignments/assignment3/results/rnn/20170702_220336/features.pkl 229KB
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  215. assignments/assignment3/results/rnn/20170702_215952/features.pkl 229KB
  216. assignments/assignment3/results/rnn/20170702_213222/features.pkl 229KB
  217. assignments/assignment3/results/rnn/20170702_210148/features.pkl 229KB
  218. assignments/assignment3/results/window/20170702_194019/features.pkl 229KB
  219. assignments/assignment3/results/window/20170702_191726/features.pkl 229KB
  220. assignments/assignment3/results/window/20170702_193730/features.pkl 229KB
  221. assignments/assignment3/results/window/20170702_192351/features.pkl 229KB
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  223. assignments/assignment3/results/window/20170702_193234/features.pkl 229KB
  224. assignments/assignment3/results/rnn/20170702_210024/features.pkl 229KB
  225. assignments/assignment3/results/rnn/20170702_203928/features.pkl 229KB
  226. assignments/assignment3/results/window/20170702_193912/features.pkl 229KB
  227. assignments/assignment3/results/gru/20170703_123247/features.pkl 229KB
  228. assignments/assignment3/results/rnn/20170702_224010/features.pkl 229KB
  229. assignments/assignment3/results/window/20170702_192143/features.pkl 229KB
  230. Midterm Review/cs224n-2017-gradient-notes.pdf 227KB
  231. cs224n-winter17-notes/gradient-notes.pdf 226KB
  232. assignments/assignment3/assignment3.pdf 224KB
  233. 02 Word Vector Representations word2vec/Efficient Estimation of Word Representations in Vector Space.pdf 223KB
  234. assignments/.git/objects/29/b1621f36c04269bcff906bc90bf0652c67ea82 221KB
  235. cs224n-winter17-notes/notes7/fig/2d_convolution.png 217KB
  236. cs224n-winter17-notes/tensorflow/fig/tensorFlow.png 208KB
  237. cs224n-winter17-notes/notes6/pointer.png 207KB
  238. assignments/assignment1/assignment1.pdf 205KB
  239. assignments/.git/objects/af/dd8637d44b305e0493c2bfa400e547d76cf371 204KB
  240. 01 Introduction to NLP and Deep Learning/cs229-linalg.pdf 200KB
  241. 05 Backpropagation and Project Advice/cs224n-2017-lecture5-highlight.pdf 197KB
  242. 11 Gated recurrent units and further topics in NMT/Neural Machine Translation of Rare Words with Subword Units.pdf 189KB
  243. cs224n-winter17-notes/notes4.pdf 186KB
  244. 06 Dependency Parsing/cs224n-2017-notes4.pdf 185KB
  245. cs224n-winter17-notes/notes3/fig/Error_Surf.png 185KB
  246. 03 Advanced Word Vector Representations/cs224n-2017-lecture3-highlight.pdf 182KB
  247. 13 Convolutional Neural Networks/Convolutional Neural Networks for Sentence Classification.pdf 176KB
  248. 16 Dynamic Neural Networks for Question Answering/cs224n-2017-notes8.pdf 173KB
  249. cs224n-winter17-notes/notes8.pdf 173KB
  250. 06 Dependency Parsing/Globally Normalized Transition-Based Neural Networks.pdf 168KB
  251. 01 Introduction to NLP and Deep Learning/cs229-cvxopt.pdf 165KB
  252. cs224n-winter17-notes/notes5/fig/LSTM.png 164KB
  253. 06 Dependency Parsing/Universal Dependencies A cross-linguistic typology.pdf 163KB
  254. 10 Neural Machine Translation and Models with Attention/Effective Approaches to Attention-based Neural Machine Translation.pdf 160KB
  255. cs224n-winter17-notes/notes5/fig/deepbirnn.pdf 156KB
  256. cs224n-winter17-notes/notes3.synctex.gz 154KB
  257. 11 Gated recurrent units and further topics in NMT/Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models.pdf 152KB
  258. cs224n-winter17-notes/notes5/fig/birnn.pdf 148KB
  259. assignments/.git/objects/55/f3ba433f4cbd8f2c5bc6a1585e02f403761b12 145KB
  260. cs224n-winter17-notes/notes7/fig/img2.png 144KB
  261. cs224n-winter17-notes/notes6.synctex.gz 140KB
  262. 04 Word Window Classification and Neural Networks/cs224n-2017-review-differential-calculus.pdf 139KB
  263. cs224n-winter17-notes/review-differential-calculus.pdf 139KB
  264. cs224n-winter17-notes/notes7/fig/img7.png 139KB
  265. 04 Word Window Classification and Neural Networks/A Neural Probabilistic Language Model.pdf 137KB
  266. cs224n-winter17-notes/notes6/partition.png 136KB
  267. cs224n-winter17-notes/notes5/fig/GRU.png 134KB
  268. cs224n-winter17-notes/notes1.synctex.gz 134KB
  269. cs224n-winter17-notes/notes3/fig/dropout.png 133KB
  270. cs224n-winter17-notes/notes7/fig/img1.png 128KB
  271. assignments/.git/objects/69/158d57166179f4b50003e8095a487a76f41127 125KB
  272. 06 Dependency Parsing/Incrementality in Deterministic Dependency Parsing.pdf 120KB
  273. 13 Convolutional Neural Networks/Lecture 13 Convolutional Neural Networks.srt 117KB
  274. assignments/assignment1/q4_dev_pred.txt 117KB
  275. cs224n-winter17-notes/notes2.synctex.gz 114KB
  276. 03 Advanced Word Vector Representations/Lecture 3 GloVe_ Global Vectors for Word Representation.srt 113KB
  277. cs224n-winter17-notes/notes1/fig/Skip-Gram.png 110KB
  278. 10 Neural Machine Translation and Models with Attention/Sequence to Sequence Learning with Neural Networks.pdf 109KB
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  605. 14 Tree Recursive Neural Networks and Constituency Parsing/CS224n笔记14 Tree RNN与短语句法分析.url 182B
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  609. 04 Word Window Classification and Neural Networks/CS224n笔记4 Word Window分类与神经网络.url 173B
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  612. 03 Advanced Word Vector Representations/CS224n笔记3 高级词向量表示.url 163B
  613. 05 Backpropagation and Project Advice/CS224n笔记5 反向传播与项目指导.url 161B
  614. assignments/.git/objects/d8/341fc19cb5cc9de13c9473130fa743a26c4599 161B
  615. 18 Tackling the Limits of Deep Learning for NLP/CS224n笔记18 挑战深度学习与自然语言处理的极限.url 160B
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  618. 02 Word Vector Representations word2vec/CS224n笔记2 词的向量表示:word2vec.url 156B
  619. 13 Convolutional Neural Networks/CS224n笔记13 卷积神经网络.url 156B
  620. 10 Neural Machine Translation and Models with Attention/CS224n笔记10 NMT与Attention.url 154B
  621. 17 Issues in NLP and Possible Architectures for NLP/CS224n笔记17 NLP存在的问题与未来的架构.url 151B
  622. 08 Recurrent Neural Networks and Language Models/CS224n笔记8 RNN和语言模型.url 150B
  623. 16 Dynamic Neural Networks for Question Answering/CS224n笔记16 DMN与问答系统.url 149B
  624. 15 Coreference Resolution/CS224n笔记15 指代消解.url 149B
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  626. 06 Dependency Parsing/CS224n笔记6 句法分析.url 145B
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  634. 12 End-to-end models for Speech Processing/CS224n笔记12 语音识别的end-to-end模型.url 141B
  635. 09 Machine translation and advanced recurrent LSTMs and GRUs/CS224n笔记9 机器翻译和高级LSTM及GRU.url 138B
  636. 07 Introduction to TensorFlow/CS224n笔记7 TensorFlow入门.url 137B
  637. 11 Gated recurrent units and further topics in NMT/CS224n笔记11 GRU和NMT的进一步话题.url 134B
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  643. 01 Introduction to NLP and Deep Learning/CS224n笔记1 自然语言处理与深度学习简介.url 119B
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