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File Count:687
File Hash:917ea104ff7d1cc857416dc9a37923dd18e72694
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07 Introduction to TensorFlow/CS224n笔记7 TensorFlow入门.url | 137 B |
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 B |
12 End-to-end models for Speech Processing/CS224n笔记12 语音识别的end-to-end模型.url | 141 B |
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06 Dependency Parsing/CS224n笔记6 句法分析.url | 145 B |
16 Dynamic Neural Networks for Question Answering/CS224n笔记16 DMN与问答系统.url | 149 B |
15 Coreference Resolution/CS224n笔记15 指代消解.url | 149 B |
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10 Neural Machine Translation and Models with Attention/CS224n笔记10 NMT与Attention.url | 154 B |
02 Word Vector Representations word2vec/CS224n笔记2 词的向量表示:word2vec.url | 156 B |
13 Convolutional Neural Networks/CS224n笔记13 卷积神经网络.url | 156 B |
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18 Tackling the Limits of Deep Learning for NLP/cs224n-2017-lecture18-highlight.pdf | 1.03 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 | 1.06 MB |
09 Machine translation and advanced recurrent LSTMs and GRUs/cs224n-2017-notes5.pdf | 1.06 MB |
cs224n-winter17-notes/notes5.pdf | 1.06 MB |
15 Coreference Resolution/Deep Reinforcement Learning for Mention-Ranking Coreference Models.pdf | 1.13 MB |
assignments/assignment1/utils/datasets/stanfordSentimentTreebank/original_rt_snippets.txt | 1.14 MB |
assignments/assignment1/utils/datasets/stanfordSentimentTreebank/SOStr.txt | 1.17 MB |
assignments/assignment1/utils/datasets/stanfordSentimentTreebank/datasetSentences.txt | 1.23 MB |
11 Gated recurrent units and further topics in NMT/cs224n-2017-lecture11-highlight.pdf | 1.24 MB |
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14 Tree Recursive Neural Networks and Constituency Parsing/Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank.pdf | 1.25 MB |
assignments/assignment1/utils/datasets/stanfordSentimentTreebank/STree.txt | 1.25 MB |
14 Tree Recursive Neural Networks and Constituency Parsing/cs224n-2017-notes7.pdf | 1.27 MB |
cs224n-winter17-notes/notes7.pdf | 1.27 MB |
18 Tackling the Limits of Deep Learning for NLP/Neural Turing Machines.pdf | 1.29 MB |
17 Issues in NLP and Possible Architectures for NLP/cs224n-2017-lecture17-highlight.pdf | 1.32 MB |
16 Dynamic Neural Networks for Question Answering/cs224n-2017-lecture16-highlight.pdf | 1.43 MB |
assignments/assignment3/data/train.conll | 1.53 MB |
13 Convolutional Neural Networks/cs224n-2017-lecture13-highlight.pdf | 1.55 MB |
09 Machine translation and advanced recurrent LSTMs and GRUs/cs224n-2017-lecture9-highlight.pdf | 1.61 MB |
assignments/assignment2/data/test.gold.conll | 1.76 MB |
assignments/assignment2/data/test.conll | 1.76 MB |
11 Gated recurrent units and further topics in NMT/Lip Reading Sentences in the Wild.pdf | 1.95 MB |
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07 Introduction to TensorFlow/cs224n-2017-lecture7-highlight.pdf | 2.01 MB |
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assignments/assignment3/results/rnn/20170702_210148/model.weights.data-00000-of-00001 | 2.08 MB |
assignments/assignment3/results/rnn/20170702_203928/model.weights.data-00000-of-00001 | 2.08 MB |
assignments/assignment3/results/rnn/20170702_220540/model.weights.data-00000-of-00001 | 2.08 MB |
07 Introduction to TensorFlow/cs224n-2017-tensorflow.pdf | 2.33 MB |
03 Advanced Word Vector Representations/glove.pdf | 2.50 MB |
10 Neural Machine Translation and Models with Attention/Google’s Multilingual Neural Machine Translation System- Enabling Zero-Shot Translation.pdf | 2.53 MB |
18 Tackling the Limits of Deep Learning for NLP/Hybrid computing using a neural network with dynamic external memory.pdf | 2.59 MB |
Midterm Review/cs224n-midterm-review.pdf | 2.73 MB |
01 Introduction to NLP and Deep Learning/cs224n-2017-lecture1.docx | 2.81 MB |
02 Word Vector Representations word2vec/cs224n-2017-lecture2.pdf | 2.91 MB |
17 Issues in NLP and Possible Architectures for NLP/Learning to Compose Neural Networks for Question Answering.pdf | 2.96 MB |
assignments/assignment1/utils/datasets/stanfordSentimentTreebank/sentiment_labels.txt | 3.11 MB |
06 Dependency Parsing/cs224n-2017-lecture6.pdf | 3.29 MB |
04 Word Window Classification and Neural Networks/cs224n-2017-lecture4.pdf | 3.39 MB |
08 Recurrent Neural Networks and Language Models/cs224n-2017-lecture8.pdf | 3.55 MB |
05 Backpropagation and Project Advice/cs224n-2017-lecture5.pdf | 3.62 MB |
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14 Tree Recursive Neural Networks and Constituency Parsing/Deep Reinforcement Learning for Dialogue Generation.pdf | 5.00 MB |
14 Tree Recursive Neural Networks and Constituency Parsing/cs224n-2017-lecture14-TreeRNNs.pdf | 5.78 MB |
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03 Advanced Word Vector Representations/cs224n-2017-lecture3.pdf | 6.43 MB |
13 Convolutional Neural Networks/cs224n-2017-lecture13-CNNs.pdf | 6.78 MB |
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16 Dynamic Neural Networks for Question Answering/cs224n-2017-lecture16-DMN-QA.pdf | 7.06 MB |
assignments/assignment3/results/gru/20170703_123247/model.weights.meta | 7.08 MB |
assignments/assignment3/results/window/20170702_193912/model.weights.data-00000-of-00001 | 7.34 MB |
07 Introduction to TensorFlow/Visual Dialog.pdf | 7.39 MB |
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09 Machine translation and advanced recurrent LSTMs and GRUs/cs224n-2017-lecture9.pdf | 8.09 MB |
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assignments/assignment1/saved_params_40000.npy | 8.79 MB |
15 Coreference Resolution/cs224n-2017-lecture15.pdf | 10.54 MB |
17 Issues in NLP and Possible Architectures for NLP/cs224n-2017-lecture17.pdf | 11.07 MB |
cs224n-winter17-notes/.git/objects/pack/pack-b70a2793a2a7af820907d43d6c58f7288061bee4.pack | 11.39 MB |
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assignments/assignment3/results/gru/20170703_123247/model.weights.data-00000-of-00001 | 11.93 MB |
assignments/assignment3/results/gru/20170703_112643/model.weights.data-00000-of-00001 | 11.93 MB |
01 Introduction to NLP and Deep Learning/cs224n-2017-lecture1.pdf | 11.94 MB |
10 Neural Machine Translation and Models with Attention/cs224n-2017-lecture10.pdf | 14.01 MB |
11 Gated recurrent units and further topics in NMT/cs224n-2017-lecture11.pdf | 15.26 MB |
18 Tackling the Limits of Deep Learning for NLP/cs224n-2017-lecture18.pdf | 16.80 MB |
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12 End-to-end models for Speech Processing/cs224n-2017-lecture12.pdf | 28.88 MB |
assignments/assignment2/data/train.gold.conll | 29.52 MB |
assignments/assignment2/data/train.conll | 29.52 MB |
assignments/assignment3/data/wordVectors.txt | 45.50 MB |
assignments/assignment2/data/en-cw.txt | 57.73 MB |
assignments/assignment1/utils/datasets/glove.6B.50d.txt | 163.41 MB |
12 End-to-end models for Speech Processing/Lecture 12 End-to-End Models for Speech Processing.mp4 | 266.19 MB |
07 Introduction to TensorFlow/Lecture 7 Introduction to TensorFlow.mp4 | 293.45 MB |
17 Issues in NLP and Possible Architectures for NLP/Lecture 17 Issues in NLP and Possible Architectures for NLP.mp4 | 312.30 MB |
14 Tree Recursive Neural Networks and Constituency Parsing/Lecture 14- Tree Recursive Neural Networks and Constituency Parsing.mp4 | 350.48 MB |
10 Neural Machine Translation and Models with Attention/Lecture 10 Neural Machine Translation and Models with Attention.mp4 | 365.32 MB |
04 Word Window Classification and Neural Networks/Lecture 4 Word Window Classification and Neural Networks.mp4 | 375.06 MB |
05 Backpropagation and Project Advice/Lecture 5 Backpropagation and Project Advice.mp4 | 418.75 MB |
16 Dynamic Neural Networks for Question Answering/Lecture 16 Dynamic Neural Networks for Question Answering.mp4 | 459.18 MB |
18 Tackling the Limits of Deep Learning for NLP/Lecture 18 Tackling the Limits of Deep Learning for NLP.mp4 | 469.85 MB |
Midterm Review/Review Session- Midterm Review.mp4 | 542.52 MB |
03 Advanced Word Vector Representations/Lecture 3 GloVe_ Global Vectors for Word Representation.mp4 | 551.48 MB |
09 Machine translation and advanced recurrent LSTMs and GRUs/Lecture 9 Machine Translation and Advanced Recurrent LSTMs and GRUs.mp4 | 587.20 MB |
13 Convolutional Neural Networks/Lecture 13 Convolutional Neural Networks.mp4 | 660.96 MB |
01 Introduction to NLP and Deep Learning/Lecture 1 Natural Language Processing with Deep Learning.mp4 | 692.20 MB |
06 Dependency Parsing/Lecture 6 Dependency Parsing.mp4 | 721.55 MB |
15 Coreference Resolution/Lecture 15 Coreference Resolution.mp4 | 741.09 MB |
08 Recurrent Neural Networks and Language Models/Lecture 8 Recurrent Neural Networks and Language Models.mp4 | 745.60 MB |
11 Gated recurrent units and further topics in NMT/Lecture 11 Gated Recurrent Units and Further Topics in NMT.mp4 | 745.92 MB |
02 Word Vector Representations word2vec/Lecture 2 Word Vector Representations_ word2vec.mp4 | 813.43 MB |
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