CS224n Natural Language Processing with Deep Learning

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CS224n Natural Language Processing with Deep Learning

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文件列表

  • 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 119 Bytes
  • 01 Introduction to NLP and Deep Learning/cs224n-2017-lecture1.docx 3.0 MB
  • 01 Introduction to NLP and Deep Learning/cs224n-2017-lecture1.pdf 12.5 MB
  • 01 Introduction to NLP and Deep Learning/cs224n-2017-notes1.pdf 358.1 kB
  • 01 Introduction to NLP and Deep Learning/cs229-cvxopt.pdf 168.8 kB
  • 01 Introduction to NLP and Deep Learning/cs229-linalg.pdf 205.3 kB
  • 01 Introduction to NLP and Deep Learning/cs229-prob.pdf 292.4 kB
  • 01 Introduction to NLP and Deep Learning/Lecture 1 Natural Language Processing with Deep Learning.mp4 725.8 MB
  • 01 Introduction to NLP and Deep Learning/Lecture 1 Natural Language Processing with Deep Learning.srt 105.0 kB
  • 02 Word Vector Representations word2vec/5021-distributed-representations-of-words-and-phrases-and-their-compositionality.pdf 112.0 kB
  • 02 Word Vector Representations word2vec/A SIMPLE BUT TOUGH-TO-BEAT BASELINE FOR SENTENCE EMBEDDINGS.pdf 323.7 kB
  • 02 Word Vector Representations word2vec/CS224n笔记2 词的向量表示：word2vec.url 156 Bytes
  • 02 Word Vector Representations word2vec/cs224n-2017-lecture2-highlight.pdf 576.9 kB
  • 02 Word Vector Representations word2vec/cs224n-2017-lecture2.pdf 3.1 MB
  • 02 Word Vector Representations word2vec/Efficient Estimation of Word Representations in Vector Space.pdf 228.7 kB
  • 02 Word Vector Representations word2vec/Lecture 2 Word Vector Representations_ word2vec.mp4 852.9 MB
  • 02 Word Vector Representations word2vec/Lecture 2 Word Vector Representations_ word2vec.srt 99.6 kB
  • 03 Advanced Word Vector Representations/CS224n笔记3 高级词向量表示.url 163 Bytes
  • 03 Advanced Word Vector Representations/cs224n-2017-lecture3-highlight.pdf 186.4 kB
  • 03 Advanced Word Vector Representations/cs224n-2017-lecture3.pdf 6.7 MB
  • 03 Advanced Word Vector Representations/cs224n-2017-notes2.pdf 480.6 kB
  • 03 Advanced Word Vector Representations/Evaluation methods for unsupervised word embeddings.pdf 286.8 kB
  • 03 Advanced Word Vector Representations/glove.pdf 2.6 MB
  • 03 Advanced Word Vector Representations/Improving Distributional Similarity with Lessons Learned from Word Embeddings.pdf 291.1 kB
  • 03 Advanced Word Vector Representations/Lecture 3 GloVe_ Global Vectors for Word Representation.mp4 578.3 MB
  • 03 Advanced Word Vector Representations/Lecture 3 GloVe_ Global Vectors for Word Representation.srt 116.0 kB
  • 03 Advanced Word Vector Representations/Linear Algebraic Structure of Word Senses, with Applications to Polysemy.pdf 678.3 kB
  • 04 Word Window Classification and Neural Networks/A Neural Probabilistic Language Model.pdf 140.1 kB
  • 04 Word Window Classification and Neural Networks/backprop_old.pdf 351.0 kB
  • 04 Word Window Classification and Neural Networks/CS224n笔记4 Word Window分类与神经网络.url 173 Bytes
  • 04 Word Window Classification and Neural Networks/cs224n-2017-lecture4.pdf 3.6 MB
  • 04 Word Window Classification and Neural Networks/cs224n-2017-notes3.pdf 628.0 kB
  • 04 Word Window Classification and Neural Networks/cs224n-2017-review-differential-calculus.pdf 142.3 kB
  • 04 Word Window Classification and Neural Networks/Lecture 4 Word Window Classification and Neural Networks.mp4 393.3 MB
  • 04 Word Window Classification and Neural Networks/Lecture 4 Word Window Classification and Neural Networks.srt 110.2 kB
  • 04 Word Window Classification and Neural Networks/Natural Language Processing (almost) from Scratch.pdf 379.8 kB
  • 05 Backpropagation and Project Advice/A Primer on Neural Network Models for Natural Language Processing.pdf 718.5 kB
  • 05 Backpropagation and Project Advice/Bag of Tricks for Efficient Text Classification.pdf 71.6 kB
  • 05 Backpropagation and Project Advice/CS224n笔记5 反向传播与项目指导.url 161 Bytes
  • 05 Backpropagation and Project Advice/cs224n-2017-lecture5-highlight.pdf 201.3 kB
  • 05 Backpropagation and Project Advice/cs224n-2017-lecture5.pdf 3.8 MB
  • 05 Backpropagation and Project Advice/Lecture 5 Backpropagation and Project Advice.mp4 439.1 MB
  • 05 Backpropagation and Project Advice/Lecture 5 Backpropagation and Project Advice.srt 110.5 kB
  • 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 1.1 MB
  • 06 Dependency Parsing/CS224n笔记6 句法分析.url 145 Bytes
  • 06 Dependency Parsing/cs224n-2017-lecture6-highlight.pdf 929.4 kB
  • 06 Dependency Parsing/cs224n-2017-lecture6.pdf 3.5 MB
  • 06 Dependency Parsing/cs224n-2017-notes4.pdf 189.8 kB
  • 06 Dependency Parsing/Globally Normalized Transition-Based Neural Networks.pdf 172.1 kB
  • 06 Dependency Parsing/Improving Distributional Similarity with Lessons Learned from Word Embeddings.pdf 288.4 kB
  • 06 Dependency Parsing/Incrementality in Deterministic Dependency Parsing.pdf 122.7 kB
  • 06 Dependency Parsing/Lecture 6 Dependency Parsing.mp4 756.6 MB
  • 06 Dependency Parsing/Universal Dependencies A cross-linguistic typology.pdf 167.4 kB
  • 07 Introduction to TensorFlow/CS224n笔记7 TensorFlow入门.url 137 Bytes
  • 07 Introduction to TensorFlow/cs224n-2017-lecture7-highlight.pdf 2.1 MB
  • 07 Introduction to TensorFlow/cs224n-2017-tensorflow-notes.pdf 297.4 kB
  • 07 Introduction to TensorFlow/cs224n-2017-tensorflow.pdf 2.4 MB
  • 07 Introduction to TensorFlow/Lecture 7 Introduction to TensorFlow.mp4 307.7 MB
  • 07 Introduction to TensorFlow/Visual Dialog.pdf 7.7 MB
  • 08 Recurrent Neural Networks and Language Models/CS224n笔记8 RNN和语言模型.url 150 Bytes
  • 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
  • 08 Recurrent Neural Networks and Language Models/Lecture 8 Recurrent Neural Networks and Language Models.mp4 781.8 MB
  • 08 Recurrent Neural Networks and Language Models/Structured Training for Neural Network Transition-Based Parsing.pdf 680.0 kB
  • 09 Machine translation and advanced recurrent LSTMs and GRUs/CS224n笔记9 机器翻译和高级LSTM及GRU.url 138 Bytes
  • 09 Machine translation and advanced recurrent LSTMs and GRUs/cs224n-2017-lecture9-highlight.pdf 1.7 MB
  • 09 Machine translation and advanced recurrent LSTMs and GRUs/cs224n-2017-lecture9.pdf 8.5 MB
  • 09 Machine translation and advanced recurrent LSTMs and GRUs/cs224n-2017-notes5.pdf 1.1 MB
  • 09 Machine translation and advanced recurrent LSTMs and GRUs/DATA NOISING AS SMOOTHING IN NEURAL NETWORK LANGUAGE MODELS.pdf 400.7 kB
  • 09 Machine translation and advanced recurrent LSTMs and GRUs/Exploring the Limits of Language Modeling.pdf 335.3 kB
  • 09 Machine translation and advanced recurrent LSTMs and GRUs/Lecture 9 Machine Translation and Advanced Recurrent LSTMs and GRUs.mp4 615.7 MB
  • 09 Machine translation and advanced recurrent LSTMs and GRUs/SUBWORD LANGUAGE MODELING WITH NEURAL NETWORKS.pdf 57.4 kB
  • 10 Neural Machine Translation and Models with Attention/CS224n笔记10 NMT与Attention.url 154 Bytes
  • 10 Neural Machine Translation and Models with Attention/cs224n-2017-lecture10-highlight.pdf 390.7 kB
  • 10 Neural Machine Translation and Models with Attention/cs224n-2017-lecture10.pdf 14.7 MB
  • 10 Neural Machine Translation and Models with Attention/Effective Approaches to Attention-based Neural Machine Translation.pdf 163.9 kB
  • 10 Neural Machine Translation and Models with Attention/Google’s Multilingual Neural Machine Translation System- Enabling Zero-Shot Translation.pdf 2.7 MB
  • 10 Neural Machine Translation and Models with Attention/Lecture 10 Neural Machine Translation and Models with Attention.mp4 383.1 MB
  • 10 Neural Machine Translation and Models with Attention/NEURAL MACHINE TRANSLATION BY JOINTLY LEARNING TO ALIGN AND TRANSLATE.pdf 444.5 kB
  • 10 Neural Machine Translation and Models with Attention/Sequence to Sequence Learning with Neural Networks.pdf 112.1 kB
  • 11 Gated recurrent units and further topics in NMT/Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models.pdf 155.8 kB
  • 11 Gated recurrent units and further topics in NMT/CS224n笔记11 GRU和NMT的进一步话题.url 134 Bytes
  • 11 Gated recurrent units and further topics in NMT/cs224n-2017-lecture11-highlight.pdf 1.3 MB
  • 11 Gated recurrent units and further topics in NMT/cs224n-2017-lecture11.pdf 16.0 MB
  • 11 Gated recurrent units and further topics in NMT/cs224n-2017-notes6.pdf 594.0 kB
  • 11 Gated recurrent units and further topics in NMT/Lecture 11 Gated Recurrent Units and Further Topics in NMT.mp4 782.2 MB
  • 11 Gated recurrent units and further topics in NMT/Lip Reading Sentences in the Wild.pdf 2.0 MB
  • 11 Gated recurrent units and further topics in NMT/Neural Machine Translation of Rare Words with Subword Units.pdf 193.2 kB
  • 11 Gated recurrent units and further topics in NMT/On Using Very Large Target Vocabulary for Neural Machine Translation.pdf 327.5 kB
  • 11 Gated recurrent units and further topics in NMT/Pointing the Unknown Words.pdf 404.5 kB
  • 12 End-to-end models for Speech Processing/CS224n笔记12 语音识别的end-to-end模型.url 141 Bytes
  • 12 End-to-end models for Speech Processing/cs224n-2017-lecture12.pdf 30.3 MB
  • 12 End-to-end models for Speech Processing/Lecture 12 End-to-End Models for Speech Processing.mp4 279.1 MB
  • 12 End-to-end models for Speech Processing/Lecture 12 End-to-End Models for Speech Processing.srt 107.9 kB
  • 13 Convolutional Neural Networks/A Convolutional Neural Network for Modelling Sentences.pdf 343.1 kB
  • 13 Convolutional Neural Networks/Character-Aware Neural Language Models.pdf 480.4 kB
  • 13 Convolutional Neural Networks/Convolutional Neural Networks for Sentence Classification.pdf 180.6 kB
  • 13 Convolutional Neural Networks/CS224n笔记13 卷积神经网络.url 156 Bytes
  • 13 Convolutional Neural Networks/cs224n-2017-lecture13-CNNs.pdf 7.1 MB
  • 13 Convolutional Neural Networks/cs224n-2017-lecture13-highlight.pdf 1.6 MB
  • 13 Convolutional Neural Networks/Lecture 13 Convolutional Neural Networks.mp4 693.1 MB
  • 13 Convolutional Neural Networks/Lecture 13 Convolutional Neural Networks.srt 120.1 kB
  • 14 Tree Recursive Neural Networks and Constituency Parsing/CS224n笔记14 Tree RNN与短语句法分析.url 182 Bytes
  • 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/Deep Reinforcement Learning for Dialogue Generation.pdf 5.2 MB
  • 14 Tree Recursive Neural Networks and Constituency Parsing/Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks.pdf 422.1 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/Parsing with Compositional Vector Grammars.pdf 562.1 kB
  • 14 Tree Recursive Neural Networks and Constituency Parsing/Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank.pdf 1.3 MB
  • 15 Coreference Resolution/CS224n笔记15 指代消解.url 149 Bytes
  • 15 Coreference Resolution/cs224n-2017-lecture15.pdf 11.0 MB
  • 15 Coreference Resolution/Deep Reinforcement Learning for Mention-Ranking Coreference Models.pdf 1.2 MB
  • 15 Coreference Resolution/Easy Victories and Uphill Battles in Coreference Resolution.pdf 273.4 kB
  • 15 Coreference Resolution/Lecture 15 Coreference Resolution.mp4 777.1 MB
  • 16 Dynamic Neural Networks for Question Answering/CS224n笔记16 DMN与问答系统.url 149 Bytes
  • 16 Dynamic Neural Networks for Question Answering/cs224n-2017-lecture16-DMN-QA.pdf 7.4 MB
  • 16 Dynamic Neural Networks for Question Answering/cs224n-2017-lecture16-highlight.pdf 1.5 MB
  • 16 Dynamic Neural Networks for Question Answering/cs224n-2017-notes8.pdf 177.3 kB
  • 16 Dynamic Neural Networks for Question Answering/Learning Program Embeddings to Propagate Feedback on Student Code.pdf 767.7 kB
  • 16 Dynamic Neural Networks for Question Answering/Lecture 16 Dynamic Neural Networks for Question Answering.mp4 481.5 MB
  • 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 151 Bytes
  • 17 Issues in NLP and Possible Architectures for NLP/cs224n-2017-lecture17-highlight.pdf 1.4 MB
  • 17 Issues in NLP and Possible Architectures for NLP/cs224n-2017-lecture17.pdf 11.6 MB
  • 17 Issues in NLP and Possible Architectures for NLP/Learning to Compose Neural Networks for Question Answering.pdf 3.1 MB
  • 17 Issues in NLP and Possible Architectures for NLP/Lecture 17 Issues in NLP and Possible Architectures for NLP.mp4 327.5 MB
  • 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 160 Bytes
  • 18 Tackling the Limits of Deep Learning for NLP/cs224n-2017-lecture18-highlight.pdf 1.1 MB
  • 18 Tackling the Limits of Deep Learning for NLP/cs224n-2017-lecture18.pdf 17.6 MB
  • 18 Tackling the Limits of Deep Learning for NLP/Hybrid computing using a neural network with dynamic external memory.pdf 2.7 MB
  • 18 Tackling the Limits of Deep Learning for NLP/Lecture 18 Tackling the Limits of Deep Learning for NLP.mp4 492.7 MB
  • 18 Tackling the Limits of Deep Learning for NLP/Neural Turing Machines.pdf 1.4 MB
  • assignments/assignment1/assignment1.pdf 210.3 kB
  • assignments/assignment1/assignment1_soln.pdf 303.3 kB
  • assignments/assignment1/collect_submission.sh 79 Bytes
  • assignments/assignment1/get_datasets.sh 623 Bytes
  • assignments/assignment1/Makefile 183 Bytes
  • assignments/assignment1/q1_softmax.py 2.9 kB
  • assignments/assignment1/q1_softmax.pyc 3.8 kB
  • assignments/assignment1/q2_gradcheck.py 2.5 kB
  • assignments/assignment1/q2_gradcheck.pyc 2.8 kB
  • assignments/assignment1/q2_neural.py 2.9 kB
  • assignments/assignment1/q2_sigmoid.py 1.7 kB
  • assignments/assignment1/q2_sigmoid.pyc 2.6 kB
  • assignments/assignment1/q3_run.py 2.2 kB
  • assignments/assignment1/q3_sgd.py 3.8 kB
  • assignments/assignment1/q3_sgd.pyc 4.8 kB
  • assignments/assignment1/q3_word2vec.py 9.6 kB
  • assignments/assignment1/q3_word2vec.pyc 10.9 kB
  • assignments/assignment1/q3_word_vectors.png 35.2 kB
  • assignments/assignment1/q4_dev_conf.png 30.3 kB
  • assignments/assignment1/q4_dev_pred.txt 119.5 kB
  • assignments/assignment1/q4_reg_v_acc.png 40.4 kB
  • assignments/assignment1/q4_sentiment.py 7.9 kB
  • assignments/assignment1/requirements.txt 31 Bytes
  • assignments/assignment1/saved_params_10000.npy 9.2 MB
  • assignments/assignment1/saved_params_15000.npy 9.2 MB
  • assignments/assignment1/saved_params_20000.npy 9.2 MB
  • assignments/assignment1/saved_params_25000.npy 9.2 MB
  • assignments/assignment1/saved_params_30000.npy 9.2 MB
  • assignments/assignment1/saved_params_35000.npy 9.2 MB
  • assignments/assignment1/saved_params_40000.npy 9.2 MB
  • assignments/assignment1/saved_params_5000.npy 9.1 MB
  • assignments/assignment1/utils/__init__.pyc 213 Bytes
  • assignments/assignment1/utils/datasets/glove.6B.50d.txt 171.4 MB
  • assignments/assignment1/utils/datasets/stanfordSentimentTreebank/datasetSentences.txt 1.3 MB
  • assignments/assignment1/utils/datasets/stanfordSentimentTreebank/datasetSplit.txt 83.8 kB
  • assignments/assignment1/utils/datasets/stanfordSentimentTreebank/dictionary.txt 12.0 MB
  • assignments/assignment1/utils/datasets/stanfordSentimentTreebank/original_rt_snippets.txt 1.2 MB
  • assignments/assignment1/utils/datasets/stanfordSentimentTreebank/README.txt 2.4 kB
  • assignments/assignment1/utils/datasets/stanfordSentimentTreebank/sentiment_labels.txt 3.3 MB
  • assignments/assignment1/utils/datasets/stanfordSentimentTreebank/SOStr.txt 1.2 MB
  • assignments/assignment1/utils/datasets/stanfordSentimentTreebank/STree.txt 1.3 MB
  • assignments/assignment1/utils/glove.py 733 Bytes
  • assignments/assignment1/utils/glove.pyc 1.1 kB
  • assignments/assignment1/utils/treebank.py 7.6 kB
  • assignments/assignment1/utils/treebank.pyc 9.4 kB
  • assignments/assignment2/assignment2-soln.pdf 333.7 kB
  • assignments/assignment2/assignment2.pdf 323.2 kB
  • assignments/assignment2/data/dev.conll 1.3 MB
  • assignments/assignment2/data/dev.gold.conll 1.3 MB
  • assignments/assignment2/data/en-cw.txt 60.5 MB
  • assignments/assignment2/data/test.conll 1.8 MB
  • assignments/assignment2/data/test.gold.conll 1.8 MB
  • assignments/assignment2/data/train.conll 31.0 MB
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  • assignments/assignment2/data/weights/checkpoint 85 Bytes
  • assignments/assignment2/data/weights/parser.weights.data-00000-of-00001 28.1 MB
  • assignments/assignment2/data/weights/parser.weights.index 673 Bytes
  • assignments/assignment2/data/weights/parser.weights.meta 8.0 MB
  • assignments/assignment2/model.py 4.1 kB
  • assignments/assignment2/model.pyc 5.9 kB
  • assignments/assignment2/q1_classifier.py 7.8 kB
  • assignments/assignment2/q1_softmax.py 4.1 kB
  • assignments/assignment2/q1_softmax.pyc 4.7 kB
  • assignments/assignment2/q2_initialization.py 1.8 kB
  • assignments/assignment2/q2_initialization.pyc 2.5 kB
  • assignments/assignment2/q2_parser_model.py 11.4 kB
  • assignments/assignment2/q2_parser_transitions.py 8.1 kB
  • assignments/assignment2/q2_parser_transitions.pyc 9.6 kB
  • assignments/assignment2/q2_test.predicted.pkl 585.4 kB
  • assignments/assignment2/utils/__init__.pyc 213 Bytes
  • assignments/assignment2/utils/general_utils.py 6.3 kB
  • assignments/assignment2/utils/general_utils.pyc 7.1 kB
  • assignments/assignment2/utils/parser_utils.py 15.6 kB
  • assignments/assignment2/utils/parser_utils.pyc 17.5 kB
  • assignments/assignment3/assignment3-soln.pdf 352.9 kB
  • assignments/assignment3/assignment3.pdf 229.4 kB
  • assignments/assignment3/data/dev.conll 403.0 kB
  • assignments/assignment3/data/test.masked 346.1 kB
  • assignments/assignment3/data/tiny.conll 73.7 kB
  • assignments/assignment3/data/train.conll 1.6 MB
  • assignments/assignment3/data/vocab.txt 835.2 kB
  • assignments/assignment3/data/wordVectors.txt 47.7 MB
  • assignments/assignment3/data_util.py 6.0 kB
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  • assignments/assignment3/defs.py 291 Bytes
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  • assignments/assignment3/make_submission.sh 475 Bytes
  • assignments/assignment3/model.py 4.1 kB
  • assignments/assignment3/model.pyc 5.9 kB
  • assignments/assignment3/ner_model.py 5.4 kB
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  • assignments/assignment3/q1_window.py 22.5 kB
  • assignments/assignment3/q2_rnn.py 26.9 kB
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  • assignments/assignment3/q3-clip-gru.png 39.5 kB
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  • assignments/assignment3/q3-noclip-gru.png 37.3 kB
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