CS224n Natural Language Processing with Deep Learning

Creation Time	July 22, 2024, 4:06 p.m.
Last Access Time	Nov. 28, 2024, 11:51 p.m.
File Size	10.8 GB
Keywords	Natural Language Processing Deep Learning CS224n with
Total Requests	3
Total Files	687
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02 Word Vector Representations word2vec/Lecture 2 Word Vector Representations_ word2vec.mp4 813.4 MB
11 Gated recurrent units and further topics in NMT/Lecture 11 Gated Recurrent Units and Further Topics in NMT.mp4 745.9 MB
08 Recurrent Neural Networks and Language Models/Lecture 8 Recurrent Neural Networks and Language Models.mp4 745.6 MB
15 Coreference Resolution/Lecture 15 Coreference Resolution.mp4 741.1 MB
06 Dependency Parsing/Lecture 6 Dependency Parsing.mp4 721.6 MB
01 Introduction to NLP and Deep Learning/Lecture 1 Natural Language Processing with Deep Learning.mp4 692.2 MB
13 Convolutional Neural Networks/Lecture 13 Convolutional Neural Networks.mp4 661.0 MB
09 Machine translation and advanced recurrent LSTMs and GRUs/Lecture 9 Machine Translation and Advanced Recurrent LSTMs and GRUs.mp4 587.2 MB
03 Advanced Word Vector Representations/Lecture 3 GloVe_ Global Vectors for Word Representation.mp4 551.5 MB
Midterm Review/Review Session- Midterm Review.mp4 542.5 MB
18 Tackling the Limits of Deep Learning for NLP/Lecture 18 Tackling the Limits of Deep Learning for NLP.mp4 469.9 MB
16 Dynamic Neural Networks for Question Answering/Lecture 16 Dynamic Neural Networks for Question Answering.mp4 459.2 MB
05 Backpropagation and Project Advice/Lecture 5 Backpropagation and Project Advice.mp4 418.8 MB
04 Word Window Classification and Neural Networks/Lecture 4 Word Window Classification and Neural Networks.mp4 375.1 MB
10 Neural Machine Translation and Models with Attention/Lecture 10 Neural Machine Translation and Models with Attention.mp4 365.3 MB
14 Tree Recursive Neural Networks and Constituency Parsing/Lecture 14- Tree Recursive Neural Networks and Constituency Parsing.mp4 350.5 MB
17 Issues in NLP and Possible Architectures for NLP/Lecture 17 Issues in NLP and Possible Architectures for NLP.mp4 312.3 MB
07 Introduction to TensorFlow/Lecture 7 Introduction to TensorFlow.mp4 293.4 MB
12 End-to-end models for Speech Processing/Lecture 12 End-to-End Models for Speech Processing.mp4 266.2 MB
assignments/assignment1/utils/datasets/glove.6B.50d.txt 163.4 MB
assignments/assignment2/data/en-cw.txt 57.7 MB
assignments/assignment3/data/wordVectors.txt 45.5 MB
assignments/assignment2/data/train.conll 29.5 MB
assignments/assignment2/data/train.gold.conll 29.5 MB
12 End-to-end models for Speech Processing/cs224n-2017-lecture12.pdf 28.9 MB
assignments/.git/objects/be/4887dd7a0650d8e1cce06a62bbf3d414115611 27.4 MB
assignments/assignment2/data/weights/parser.weights.data-00000-of-00001 26.8 MB
assignments/.git/objects/2a/fdc947bba871dceb04efa98d002a6cc7862764 17.0 MB
18 Tackling the Limits of Deep Learning for NLP/cs224n-2017-lecture18.pdf 16.8 MB
11 Gated recurrent units and further topics in NMT/cs224n-2017-lecture11.pdf 15.3 MB
10 Neural Machine Translation and Models with Attention/cs224n-2017-lecture10.pdf 14.0 MB
01 Introduction to NLP and Deep Learning/cs224n-2017-lecture1.pdf 11.9 MB
assignments/assignment3/results/gru/20170703_123247/model.weights.data-00000-of-00001 11.9 MB
assignments/assignment3/results/gru/20170703_112643/model.weights.data-00000-of-00001 11.9 MB
assignments/assignment1/utils/datasets/stanfordSentimentTreebank/dictionary.txt 11.5 MB
cs224n-winter17-notes/.git/objects/pack/pack-b70a2793a2a7af820907d43d6c58f7288061bee4.pack 11.4 MB
17 Issues in NLP and Possible Architectures for NLP/cs224n-2017-lecture17.pdf 11.1 MB
15 Coreference Resolution/cs224n-2017-lecture15.pdf 10.5 MB
assignments/assignment1/saved_params_40000.npy 8.8 MB
assignments/assignment1/saved_params_30000.npy 8.8 MB
assignments/assignment1/saved_params_35000.npy 8.8 MB
assignments/assignment1/saved_params_25000.npy 8.8 MB
assignments/assignment1/saved_params_20000.npy 8.8 MB
assignments/assignment1/saved_params_10000.npy 8.8 MB
assignments/assignment1/saved_params_15000.npy 8.8 MB
assignments/assignment1/saved_params_5000.npy 8.6 MB
09 Machine translation and advanced recurrent LSTMs and GRUs/cs224n-2017-lecture9.pdf 8.1 MB
assignments/.git/objects/ec/05636daa46cc1173a957d746ff1ba9cee23a90 8.1 MB
assignments/.git/objects/cf/86de183521de6679f0e5a9f40064fbbcea6f06 8.0 MB
assignments/assignment3/results/rnn/20170703_090925/model.weights.data-00000-of-00001 7.8 MB
assignments/assignment2/data/weights/parser.weights.meta 7.6 MB
07 Introduction to TensorFlow/Visual Dialog.pdf 7.4 MB
assignments/assignment3/results/window/20170702_193912/model.weights.data-00000-of-00001 7.3 MB
assignments/assignment3/results/gru/20170703_123247/model.weights.meta 7.1 MB
16 Dynamic Neural Networks for Question Answering/cs224n-2017-lecture16-DMN-QA.pdf 7.1 MB
assignments/assignment3/results/gru/20170703_112643/model.weights.meta 7.1 MB
assignments/assignment3/results/window/20170702_193730/model.weights.data-00000-of-00001 6.9 MB
13 Convolutional Neural Networks/cs224n-2017-lecture13-CNNs.pdf 6.8 MB
03 Advanced Word Vector Representations/cs224n-2017-lecture3.pdf 6.4 MB
assignments/assignment3/results/window/20170702_193234/model.weights.data-00000-of-00001 6.4 MB
assignments/assignment3/results/window/20170702_194019/model.weights.data-00000-of-00001 6.4 MB
assignments/assignment3/results/window/20170702_192143/model.weights.data-00000-of-00001 6.4 MB
assignments/assignment3/results/window/20170702_192948/model.weights.data-00000-of-00001 6.4 MB
assignments/assignment3/results/window/20170702_191726/model.weights.data-00000-of-00001 6.4 MB
14 Tree Recursive Neural Networks and Constituency Parsing/cs224n-2017-lecture14-TreeRNNs.pdf 5.8 MB
14 Tree Recursive Neural Networks and Constituency Parsing/Deep Reinforcement Learning for Dialogue Generation.pdf 5.0 MB
assignments/assignment3/results/rnn/20170703_090925/model.weights.meta 4.2 MB
assignments/assignment3/results/rnn/20170702_213222/model.weights.meta 4.2 MB
assignments/assignment3/results/rnn/20170702_210148/model.weights.meta 4.2 MB
assignments/assignment3/results/rnn/20170702_203928/model.weights.meta 4.2 MB
assignments/assignment3/results/rnn/20170702_220540/model.weights.meta 4.1 MB
05 Backpropagation and Project Advice/cs224n-2017-lecture5.pdf 3.6 MB
08 Recurrent Neural Networks and Language Models/cs224n-2017-lecture8.pdf 3.5 MB
04 Word Window Classification and Neural Networks/cs224n-2017-lecture4.pdf 3.4 MB
06 Dependency Parsing/cs224n-2017-lecture6.pdf 3.3 MB
assignments/assignment1/utils/datasets/stanfordSentimentTreebank/sentiment_labels.txt 3.1 MB
17 Issues in NLP and Possible Architectures for NLP/Learning to Compose Neural Networks for Question Answering.pdf 3.0 MB
02 Word Vector Representations word2vec/cs224n-2017-lecture2.pdf 2.9 MB
01 Introduction to NLP and Deep Learning/cs224n-2017-lecture1.docx 2.8 MB
Midterm Review/cs224n-midterm-review.pdf 2.7 MB
18 Tackling the Limits of Deep Learning for NLP/Hybrid computing using a neural network with dynamic external memory.pdf 2.6 MB
10 Neural Machine Translation and Models with Attention/Google’s Multilingual Neural Machine Translation System- Enabling Zero-Shot Translation.pdf 2.5 MB
03 Advanced Word Vector Representations/glove.pdf 2.5 MB
07 Introduction to TensorFlow/cs224n-2017-tensorflow.pdf 2.3 MB
assignments/assignment3/results/rnn/20170702_213222/model.weights.data-00000-of-00001 2.1 MB
assignments/assignment3/results/rnn/20170702_210148/model.weights.data-00000-of-00001 2.1 MB
assignments/assignment3/results/rnn/20170702_203928/model.weights.data-00000-of-00001 2.1 MB
assignments/assignment3/results/rnn/20170702_220540/model.weights.data-00000-of-00001 2.1 MB
07 Introduction to TensorFlow/cs224n-2017-lecture7-highlight.pdf 2.0 MB
assignments/assignment3/results/window/20170702_194019/model.weights.meta 2.0 MB
assignments/assignment3/results/window/20170702_192143/model.weights.meta 2.0 MB
assignments/assignment3/results/window/20170702_193730/model.weights.meta 2.0 MB
assignments/assignment3/results/window/20170702_191726/model.weights.meta 2.0 MB
assignments/assignment3/results/window/20170702_193234/model.weights.meta 2.0 MB
assignments/assignment3/results/window/20170702_193912/model.weights.meta 2.0 MB
assignments/assignment3/results/window/20170702_192948/model.weights.meta 2.0 MB
11 Gated recurrent units and further topics in NMT/Lip Reading Sentences in the Wild.pdf 2.0 MB
assignments/assignment2/data/test.conll 1.8 MB
assignments/assignment2/data/test.gold.conll 1.8 MB
09 Machine translation and advanced recurrent LSTMs and GRUs/cs224n-2017-lecture9-highlight.pdf 1.6 MB
13 Convolutional Neural Networks/cs224n-2017-lecture13-highlight.pdf 1.5 MB
assignments/assignment3/data/train.conll 1.5 MB
16 Dynamic Neural Networks for Question Answering/cs224n-2017-lecture16-highlight.pdf 1.4 MB
17 Issues in NLP and Possible Architectures for NLP/cs224n-2017-lecture17-highlight.pdf 1.3 MB
18 Tackling the Limits of Deep Learning for NLP/Neural Turing Machines.pdf 1.3 MB
14 Tree Recursive Neural Networks and Constituency Parsing/cs224n-2017-notes7.pdf 1.3 MB
cs224n-winter17-notes/notes7.pdf 1.3 MB
assignments/assignment1/utils/datasets/stanfordSentimentTreebank/STree.txt 1.2 MB
14 Tree Recursive Neural Networks and Constituency Parsing/Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank.pdf 1.2 MB
assignments/assignment2/data/dev.gold.conll 1.2 MB
assignments/assignment2/data/dev.conll 1.2 MB
11 Gated recurrent units and further topics in NMT/cs224n-2017-lecture11-highlight.pdf 1.2 MB
assignments/assignment1/utils/datasets/stanfordSentimentTreebank/datasetSentences.txt 1.2 MB
assignments/assignment1/utils/datasets/stanfordSentimentTreebank/SOStr.txt 1.2 MB
assignments/assignment1/utils/datasets/stanfordSentimentTreebank/original_rt_snippets.txt 1.1 MB
15 Coreference Resolution/Deep Reinforcement Learning for Mention-Ranking Coreference Models.pdf 1.1 MB
cs224n-winter17-notes/notes5.pdf 1.1 MB
09 Machine translation and advanced recurrent LSTMs and GRUs/cs224n-2017-notes5.pdf 1.1 MB
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
18 Tackling the Limits of Deep Learning for NLP/cs224n-2017-lecture18-highlight.pdf 1.0 MB
06 Dependency Parsing/cs224n-2017-lecture6-highlight.pdf 907.6 KB
assignments/assignment3/results/gru/20170703_112643/results.txt 856.8 KB
assignments/assignment3/results/gru/20170703_123247/results.txt 856.8 KB
assignments/assignment3/results/rnn/20170702_213222/results.txt 856.8 KB
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assignments/assignment3/results/window/20170702_193912/results.txt 856.7 KB
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assignments/assignment3/results/window/20170702_193234/results.txt 856.7 KB
assignments/assignment3/results/window/20170702_192143/results.txt 856.7 KB
assignments/assignment3/data/vocab.txt 815.7 KB
16 Dynamic Neural Networks for Question Answering/Learning Program Embeddings to Propagate Feedback on Student Code.pdf 749.7 KB
05 Backpropagation and Project Advice/A Primer on Neural Network Models for Natural Language Processing.pdf 701.7 KB
08 Recurrent Neural Networks and Language Models/Structured Training for Neural Network Transition-Based Parsing.pdf 664.1 KB
03 Advanced Word Vector Representations/Linear Algebraic Structure of Word Senses, with Applications to Polysemy.pdf 662.4 KB
04 Word Window Classification and Neural Networks/cs224n-2017-notes3.pdf 613.3 KB
cs224n-winter17-notes/notes3.pdf 592.7 KB
cs224n-winter17-notes/notes6.pdf 580.6 KB
11 Gated recurrent units and further topics in NMT/cs224n-2017-notes6.pdf 580.1 KB
assignments/.git/objects/0e/1d5d3f97eb276f65edb3f62763ed1ce52f937c 576.4 KB
assignments/assignment2/q2_test.predicted.pkl 571.7 KB
02 Word Vector Representations word2vec/cs224n-2017-lecture2-highlight.pdf 563.4 KB
14 Tree Recursive Neural Networks and Constituency Parsing/Parsing with Compositional Vector Grammars.pdf 549.0 KB
08 Recurrent Neural Networks and Language Models/cs224n-2017-lecture8-highlight.pdf 537.9 KB
assignments/assignment3/results/gru/20170703_112643/gru_predictions.conll 508.6 KB
assignments/assignment3/results/window/20170702_194019/window_predictions.conll 508.6 KB
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assignments/assignment3/results/rnn/20170702_213222/rnn_predictions.conll 508.5 KB
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cs224n-winter17-notes/notes7/fig/CNN-alternates.png 508.2 KB
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cs224n-winter17-notes/notes2.pdf 479.0 KB
03 Advanced Word Vector Representations/cs224n-2017-notes2.pdf 469.4 KB
13 Convolutional Neural Networks/Character-Aware Neural Language Models.pdf 469.2 KB
assignments/.git/objects/19/d518f85ccf1d6237142fba003599039f9a9905 454.6 KB
10 Neural Machine Translation and Models with Attention/NEURAL MACHINE TRANSLATION BY JOINTLY LEARNING TO ALIGN AND TRANSLATE.pdf 434.1 KB
14 Tree Recursive Neural Networks and Constituency Parsing/cs224n-2017-lecture14-highlight.pdf 423.3 KB
14 Tree Recursive Neural Networks and Constituency Parsing/Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks.pdf 412.2 KB
11 Gated recurrent units and further topics in NMT/Pointing the Unknown Words.pdf 395.1 KB
assignments/assignment3/data/dev.conll 393.6 KB
09 Machine translation and advanced recurrent LSTMs and GRUs/DATA NOISING AS SMOOTHING IN NEURAL NETWORK LANGUAGE MODELS.pdf 391.3 KB
Midterm Review/cs224n-practice-midterm-1.pdf 386.0 KB
10 Neural Machine Translation and Models with Attention/cs224n-2017-lecture10-highlight.pdf 381.6 KB
04 Word Window Classification and Neural Networks/Natural Language Processing (almost) from Scratch.pdf 370.9 KB
01 Introduction to NLP and Deep Learning/cs224n-2017-notes1.pdf 349.7 KB
assignments/.git/objects/79/eaca281c18f4088b79024bc2bb25436d21b7e4 348.9 KB
cs224n-winter17-notes/notes1.pdf 348.6 KB
assignments/.git/objects/8d/65f745198fe802d7f41849f4de887ae40d6b20 345.9 KB
assignments/assignment3/assignment3-soln.pdf 344.6 KB
04 Word Window Classification and Neural Networks/backprop_old.pdf 342.8 KB
assignments/assignment3/data/test.masked 338.0 KB
13 Convolutional Neural Networks/A Convolutional Neural Network for Modelling Sentences.pdf 335.0 KB
assignments/.git/objects/d9/38d0752dd6c8306bb332d9c85ad87b171038a3 328.5 KB
09 Machine translation and advanced recurrent LSTMs and GRUs/Exploring the Limits of Language Modeling.pdf 327.4 KB
Midterm Review/cs224n-practice-midterm-2.pdf 327.1 KB
assignments/assignment2/assignment2-soln.pdf 325.8 KB
11 Gated recurrent units and further topics in NMT/On Using Very Large Target Vocabulary for Neural Machine Translation.pdf 319.9 KB
02 Word Vector Representations word2vec/A SIMPLE BUT TOUGH-TO-BEAT BASELINE FOR SENTENCE EMBEDDINGS.pdf 316.1 KB
assignments/assignment2/assignment2.pdf 315.6 KB
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cs224n-winter17-notes/tensorflow.pdf 291.2 KB
07 Introduction to TensorFlow/cs224n-2017-tensorflow-notes.pdf 290.5 KB
01 Introduction to NLP and Deep Learning/cs229-prob.pdf 285.5 KB
03 Advanced Word Vector Representations/Improving Distributional Similarity with Lessons Learned from Word Embeddings.pdf 284.3 KB
assignments/.git/objects/73/5abbd6624f0cbde91edf758e20141e4e6323ce 281.8 KB
06 Dependency Parsing/Improving Distributional Similarity with Lessons Learned from Word Embeddings.pdf 281.7 KB
03 Advanced Word Vector Representations/Evaluation methods for unsupervised word embeddings.pdf 280.1 KB
cs224n-winter17-notes/notes5/fig/cliping.pdf 268.3 KB
15 Coreference Resolution/Easy Victories and Uphill Battles in Coreference Resolution.pdf 267.0 KB
assignments/assignment3/results/gru/20170703_112643/features.pkl 229.0 KB
assignments/assignment3/results/rnn/20170702_223929/features.pkl 229.0 KB
assignments/assignment3/results/rnn/20170702_224032/features.pkl 229.0 KB
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assignments/assignment3/results/rnn/20170702_220153/features.pkl 229.0 KB
assignments/assignment3/results/rnn/20170702_215952/features.pkl 229.0 KB
assignments/assignment3/results/rnn/20170702_213222/features.pkl 229.0 KB
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assignments/assignment3/results/window/20170702_191726/features.pkl 229.0 KB
assignments/assignment3/results/window/20170702_193730/features.pkl 229.0 KB
assignments/assignment3/results/window/20170702_192351/features.pkl 229.0 KB
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assignments/assignment3/results/window/20170702_193234/features.pkl 229.0 KB
assignments/assignment3/results/rnn/20170702_210024/features.pkl 229.0 KB
assignments/assignment3/results/rnn/20170702_203928/features.pkl 229.0 KB
assignments/assignment3/results/window/20170702_193912/features.pkl 229.0 KB
assignments/assignment3/results/gru/20170703_123247/features.pkl 229.0 KB
assignments/assignment3/results/rnn/20170702_224010/features.pkl 229.0 KB
assignments/assignment3/results/window/20170702_192143/features.pkl 229.0 KB
Midterm Review/cs224n-2017-gradient-notes.pdf 226.6 KB
cs224n-winter17-notes/gradient-notes.pdf 225.9 KB
assignments/assignment3/assignment3.pdf 224.0 KB
02 Word Vector Representations word2vec/Efficient Estimation of Word Representations in Vector Space.pdf 223.4 KB
assignments/.git/objects/29/b1621f36c04269bcff906bc90bf0652c67ea82 220.7 KB
cs224n-winter17-notes/notes7/fig/2d_convolution.png 217.1 KB
cs224n-winter17-notes/tensorflow/fig/tensorFlow.png 208.4 KB
cs224n-winter17-notes/notes6/pointer.png 207.2 KB
assignments/assignment1/assignment1.pdf 205.3 KB
assignments/.git/objects/af/dd8637d44b305e0493c2bfa400e547d76cf371 204.2 KB
01 Introduction to NLP and Deep Learning/cs229-linalg.pdf 200.5 KB
05 Backpropagation and Project Advice/cs224n-2017-lecture5-highlight.pdf 196.6 KB
11 Gated recurrent units and further topics in NMT/Neural Machine Translation of Rare Words with Subword Units.pdf 188.7 KB
cs224n-winter17-notes/notes4.pdf 185.7 KB
06 Dependency Parsing/cs224n-2017-notes4.pdf 185.3 KB
cs224n-winter17-notes/notes3/fig/Error_Surf.png 185.3 KB
03 Advanced Word Vector Representations/cs224n-2017-lecture3-highlight.pdf 182.0 KB
13 Convolutional Neural Networks/Convolutional Neural Networks for Sentence Classification.pdf 176.3 KB
16 Dynamic Neural Networks for Question Answering/cs224n-2017-notes8.pdf 173.1 KB
cs224n-winter17-notes/notes8.pdf 173.1 KB
06 Dependency Parsing/Globally Normalized Transition-Based Neural Networks.pdf 168.0 KB
01 Introduction to NLP and Deep Learning/cs229-cvxopt.pdf 164.9 KB
cs224n-winter17-notes/notes5/fig/LSTM.png 164.4 KB
06 Dependency Parsing/Universal Dependencies A cross-linguistic typology.pdf 163.4 KB
10 Neural Machine Translation and Models with Attention/Effective Approaches to Attention-based Neural Machine Translation.pdf 160.1 KB
cs224n-winter17-notes/notes5/fig/deepbirnn.pdf 156.4 KB
cs224n-winter17-notes/notes3.synctex.gz 153.5 KB
11 Gated recurrent units and further topics in NMT/Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models.pdf 152.1 KB
cs224n-winter17-notes/notes5/fig/birnn.pdf 147.7 KB
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cs224n-winter17-notes/notes6.synctex.gz 140.3 KB
04 Word Window Classification and Neural Networks/cs224n-2017-review-differential-calculus.pdf 139.0 KB
cs224n-winter17-notes/review-differential-calculus.pdf 139.0 KB
cs224n-winter17-notes/notes7/fig/img7.png 138.6 KB
04 Word Window Classification and Neural Networks/A Neural Probabilistic Language Model.pdf 136.8 KB
cs224n-winter17-notes/notes6/partition.png 135.9 KB
cs224n-winter17-notes/notes5/fig/GRU.png 133.9 KB
cs224n-winter17-notes/notes1.synctex.gz 133.9 KB
cs224n-winter17-notes/notes3/fig/dropout.png 133.0 KB
cs224n-winter17-notes/notes7/fig/img1.png 127.8 KB
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06 Dependency Parsing/Incrementality in Deterministic Dependency Parsing.pdf 119.8 KB
13 Convolutional Neural Networks/Lecture 13 Convolutional Neural Networks.srt 117.2 KB
assignments/assignment1/q4_dev_pred.txt 116.7 KB
cs224n-winter17-notes/notes2.synctex.gz 113.7 KB
03 Advanced Word Vector Representations/Lecture 3 GloVe_ Global Vectors for Word Representation.srt 113.3 KB
cs224n-winter17-notes/notes1/fig/Skip-Gram.png 109.6 KB
10 Neural Machine Translation and Models with Attention/Sequence to Sequence Learning with Neural Networks.pdf 109.5 KB
02 Word Vector Representations word2vec/5021-distributed-representations-of-words-and-phrases-and-their-compositionality.pdf 109.4 KB
cs224n-winter17-notes/notes7/fig/single-conv-complete.png 108.3 KB
05 Backpropagation and Project Advice/Lecture 5 Backpropagation and Project Advice.srt 107.9 KB
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14 Tree Recursive Neural Networks and Constituency Parsing/CS224n笔记14 Tree RNN与短语句法分析.url 182 bytes
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04 Word Window Classification and Neural Networks/CS224n笔记4 Word Window分类与神经网络.url 173 bytes
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03 Advanced Word Vector Representations/CS224n笔记3 高级词向量表示.url 163 bytes
05 Backpropagation and Project Advice/CS224n笔记5 反向传播与项目指导.url 161 bytes
assignments/.git/objects/d8/341fc19cb5cc9de13c9473130fa743a26c4599 161 bytes
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
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02 Word Vector Representations word2vec/CS224n笔记2 词的向量表示：word2vec.url 156 bytes
13 Convolutional Neural Networks/CS224n笔记13 卷积神经网络.url 156 bytes
10 Neural Machine Translation and Models with Attention/CS224n笔记10 NMT与Attention.url 154 bytes
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
08 Recurrent Neural Networks and Language Models/CS224n笔记8 RNN和语言模型.url 150 bytes
16 Dynamic Neural Networks for Question Answering/CS224n笔记16 DMN与问答系统.url 149 bytes
15 Coreference Resolution/CS224n笔记15 指代消解.url 149 bytes
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06 Dependency Parsing/CS224n笔记6 句法分析.url 145 bytes
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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
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
07 Introduction to TensorFlow/CS224n笔记7 TensorFlow入门.url 137 bytes
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
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