CS224n Natural Language Processing with Deep Learning | CC69879874B8F098B313AC73D7E6A66386833FB1

CS224n Natural Language Processing with Deep Learning

Name	CS224n Natural Language Processing with Deep Learning	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	11.5 GB
Total Files	528
Hash	CC69879874B8F098B313AC73D7E6A66386833FB1

/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	0.1 KB
cs224n-2017-lecture1.docx	3.0 MB
cs224n-2017-lecture1.pdf	12.5 MB
cs224n-2017-notes1.pdf	358.1 KB
cs229-cvxopt.pdf	168.8 KB
cs229-linalg.pdf	205.3 KB
cs229-prob.pdf	292.4 KB
Lecture 1 Natural Language Processing with Deep Learning.mp4	725.8 MB
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
A SIMPLE BUT TOUGH-TO-BEAT BASELINE FOR SENTENCE EMBEDDINGS.pdf	323.7 KB
CS224n笔记2 词的向量表示：word2vec.url	0.2 KB
cs224n-2017-lecture2-highlight.pdf	576.9 KB
cs224n-2017-lecture2.pdf	3.1 MB
Efficient Estimation of Word Representations in Vector Space.pdf	228.7 KB
Lecture 2 Word Vector Representations_ word2vec.mp4	852.9 MB
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	0.2 KB
cs224n-2017-lecture3-highlight.pdf	186.4 KB
cs224n-2017-lecture3.pdf	6.7 MB
cs224n-2017-notes2.pdf	480.6 KB
Evaluation methods for unsupervised word embeddings.pdf	286.8 KB
glove.pdf	2.6 MB
Improving Distributional Similarity with Lessons Learned from Word Embeddings.pdf	291.1 KB
Lecture 3 GloVe_ Global Vectors for Word Representation.mp4	578.3 MB
Lecture 3 GloVe_ Global Vectors for Word Representation.srt	116.0 KB
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
backprop_old.pdf	351.0 KB
CS224n笔记4 Word Window分类与神经网络.url	0.2 KB
cs224n-2017-lecture4.pdf	3.6 MB
cs224n-2017-notes3.pdf	628.0 KB
cs224n-2017-review-differential-calculus.pdf	142.3 KB
Lecture 4 Word Window Classification and Neural Networks.mp4	393.3 MB
Lecture 4 Word Window Classification and Neural Networks.srt	110.2 KB
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
Bag of Tricks for Efficient Text Classification.pdf	71.6 KB
CS224n笔记5 反向传播与项目指导.url	0.2 KB
cs224n-2017-lecture5-highlight.pdf	201.3 KB
cs224n-2017-lecture5.pdf	3.8 MB
Lecture 5 Backpropagation and Project Advice.mp4	439.1 MB
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
CS224n笔记6 句法分析.url	0.1 KB
cs224n-2017-lecture6-highlight.pdf	929.4 KB
cs224n-2017-lecture6.pdf	3.5 MB
cs224n-2017-notes4.pdf	189.8 KB
Globally Normalized Transition-Based Neural Networks.pdf	172.1 KB
Improving Distributional Similarity with Lessons Learned from Word Embeddings.pdf	288.4 KB
Incrementality in Deterministic Dependency Parsing.pdf	122.7 KB
Lecture 6 Dependency Parsing.mp4	756.6 MB
Universal Dependencies A cross-linguistic typology.pdf	167.4 KB
/07 Introduction to TensorFlow/
CS224n笔记7 TensorFlow入门.url	0.1 KB
cs224n-2017-lecture7-highlight.pdf	2.1 MB
cs224n-2017-tensorflow-notes.pdf	297.4 KB
cs224n-2017-tensorflow.pdf	2.4 MB
Lecture 7 Introduction to TensorFlow.mp4	307.7 MB
Visual Dialog.pdf	7.7 MB
/08 Recurrent Neural Networks and Language Models/
CS224n笔记8 RNN和语言模型.url	0.2 KB
cs224n-2017-lecture8-highlight.pdf	550.8 KB
cs224n-2017-lecture8.pdf	3.7 MB
Lecture 8 Recurrent Neural Networks and Language Models.mp4	781.8 MB
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	0.1 KB
cs224n-2017-lecture9-highlight.pdf	1.7 MB
cs224n-2017-lecture9.pdf	8.5 MB
cs224n-2017-notes5.pdf	1.1 MB
DATA NOISING AS SMOOTHING IN NEURAL NETWORK LANGUAGE MODELS.pdf	400.7 KB
Exploring the Limits of Language Modeling.pdf	335.3 KB
Lecture 9 Machine Translation and Advanced Recurrent LSTMs and GRUs.mp4	615.7 MB
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	0.2 KB
cs224n-2017-lecture10-highlight.pdf	390.7 KB
cs224n-2017-lecture10.pdf	14.7 MB
Effective Approaches to Attention-based Neural Machine Translation.pdf	163.9 KB
Google’s Multilingual Neural Machine Translation System- Enabling Zero-Shot Translation.pdf	2.7 MB
Lecture 10 Neural Machine Translation and Models with Attention.mp4	383.1 MB
NEURAL MACHINE TRANSLATION BY JOINTLY LEARNING TO ALIGN AND TRANSLATE.pdf	444.5 KB
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
CS224n笔记11 GRU和NMT的进一步话题.url	0.1 KB
cs224n-2017-lecture11-highlight.pdf	1.3 MB
cs224n-2017-lecture11.pdf	16.0 MB
cs224n-2017-notes6.pdf	594.0 KB
Lecture 11 Gated Recurrent Units and Further Topics in NMT.mp4	782.2 MB
Lip Reading Sentences in the Wild.pdf	2.0 MB
Neural Machine Translation of Rare Words with Subword Units.pdf	193.2 KB
On Using Very Large Target Vocabulary for Neural Machine Translation.pdf	327.5 KB
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	0.1 KB
cs224n-2017-lecture12.pdf	30.3 MB
Lecture 12 End-to-End Models for Speech Processing.mp4	279.1 MB
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
Character-Aware Neural Language Models.pdf	480.4 KB
Convolutional Neural Networks for Sentence Classification.pdf	180.6 KB
CS224n笔记13 卷积神经网络.url	0.2 KB
cs224n-2017-lecture13-CNNs.pdf	7.1 MB
cs224n-2017-lecture13-highlight.pdf	1.6 MB
Lecture 13 Convolutional Neural Networks.mp4	693.1 MB
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	0.2 KB
cs224n-2017-lecture14-highlight.pdf	433.5 KB
cs224n-2017-lecture14-TreeRNNs.pdf	6.1 MB
cs224n-2017-notes7.pdf	1.3 MB
Deep Reinforcement Learning for Dialogue Generation.pdf	5.2 MB
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks.pdf	422.1 KB
Lecture 14- Tree Recursive Neural Networks and Constituency Parsing.mp4	367.5 MB
Parsing with Compositional Vector Grammars.pdf	562.1 KB
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	0.1 KB
cs224n-2017-lecture15.pdf	11.0 MB
Deep Reinforcement Learning for Mention-Ranking Coreference Models.pdf	1.2 MB
Easy Victories and Uphill Battles in Coreference Resolution.pdf	273.4 KB
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	0.1 KB
cs224n-2017-lecture16-DMN-QA.pdf	7.4 MB
cs224n-2017-lecture16-highlight.pdf	1.5 MB
cs224n-2017-notes8.pdf	177.3 KB
Learning Program Embeddings to Propagate Feedback on Student Code.pdf	767.7 KB
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	0.2 KB
cs224n-2017-lecture17-highlight.pdf	1.4 MB
cs224n-2017-lecture17.pdf	11.6 MB
Learning to Compose Neural Networks for Question Answering.pdf	3.1 MB
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	0.2 KB
cs224n-2017-lecture18-highlight.pdf	1.1 MB
cs224n-2017-lecture18.pdf	17.6 MB
Hybrid computing using a neural network with dynamic external memory.pdf	2.7 MB
Lecture 18 Tackling the Limits of Deep Learning for NLP.mp4	492.7 MB
Neural Turing Machines.pdf	1.4 MB
/assignments/assignment1/
assignment1.pdf	210.3 KB
assignment1_soln.pdf	303.3 KB
collect_submission.sh	0.1 KB
get_datasets.sh	0.6 KB
Makefile	0.2 KB
q1_softmax.py	2.9 KB
q1_softmax.pyc	3.8 KB
q2_gradcheck.py	2.5 KB
q2_gradcheck.pyc	2.8 KB
q2_neural.py	2.9 KB
q2_sigmoid.py	1.7 KB
q2_sigmoid.pyc	2.6 KB
q3_run.py	2.2 KB
q3_sgd.py	3.8 KB
q3_sgd.pyc	4.8 KB
q3_word2vec.py	9.6 KB
q3_word2vec.pyc	10.9 KB
q3_word_vectors.png	35.2 KB
q4_dev_conf.png	30.3 KB
q4_dev_pred.txt	119.5 KB
q4_reg_v_acc.png	40.4 KB
q4_sentiment.py	7.9 KB
requirements.txt	0.0 KB
saved_params_10000.npy	9.2 MB
saved_params_15000.npy	9.2 MB
saved_params_20000.npy	9.2 MB
saved_params_25000.npy	9.2 MB
saved_params_30000.npy	9.2 MB
saved_params_35000.npy	9.2 MB
saved_params_40000.npy	9.2 MB
saved_params_5000.npy	9.1 MB
/assignments/assignment1/utils/
__init__.pyc	0.2 KB
glove.py	0.7 KB
glove.pyc	1.1 KB
treebank.py	7.6 KB
treebank.pyc	9.4 KB
/assignments/assignment1/utils/datasets/
glove.6B.50d.txt	171.4 MB
/assignments/assignment1/utils/datasets/stanfordSentimentTreebank/
datasetSentences.txt	1.3 MB
datasetSplit.txt	83.8 KB
dictionary.txt	12.0 MB
original_rt_snippets.txt	1.2 MB
README.txt	2.4 KB
sentiment_labels.txt	3.3 MB
SOStr.txt	1.2 MB
STree.txt	1.3 MB
/assignments/assignment2/
assignment2-soln.pdf	333.7 KB
assignment2.pdf	323.2 KB
model.py	4.1 KB
model.pyc	5.9 KB
q1_classifier.py	7.8 KB
q1_softmax.py	4.1 KB
q1_softmax.pyc	4.7 KB
q2_initialization.py	1.8 KB
q2_initialization.pyc	2.5 KB
q2_parser_model.py	11.4 KB
q2_parser_transitions.py	8.1 KB
q2_parser_transitions.pyc	9.6 KB
q2_test.predicted.pkl	585.4 KB
/assignments/assignment2/data/
dev.conll	1.3 MB
dev.gold.conll	1.3 MB
en-cw.txt	60.5 MB
test.conll	1.8 MB
test.gold.conll	1.8 MB
train.conll	31.0 MB
train.gold.conll	31.0 MB
/assignments/assignment2/data/weights/
checkpoint	0.1 KB
parser.weights.data-00000-of-00001	28.1 MB
parser.weights.index	0.7 KB
parser.weights.meta	8.0 MB
/assignments/assignment2/utils/
__init__.pyc	0.2 KB
general_utils.py	6.3 KB
general_utils.pyc	7.1 KB
parser_utils.py	15.6 KB
parser_utils.pyc	17.5 KB
/assignments/assignment3/
assignment3-soln.pdf	352.9 KB
assignment3.pdf	229.4 KB
data_util.py	6.0 KB
data_util.pyc	10.0 KB
defs.py	0.3 KB
defs.pyc	0.8 KB
make_submission.sh	0.5 KB
model.py	4.1 KB
model.pyc	5.9 KB
ner_model.py	5.4 KB
ner_model.pyc	6.3 KB
q1_window.py	22.5 KB
q2_rnn.py	26.9 KB
q2_rnn_cell.py	5.2 KB
q2_rnn_cell.pyc	6.1 KB
q3-0-dynamics.png	25.2 KB
q3-1-dynamics.png	25.7 KB
q3-clip-gru.png	39.5 KB
q3-clip-rnn.png	34.2 KB
q3-noclip-gru.png	37.3 KB
q3-noclip-rnn.png	34.5 KB
q3_gru.py	14.2 KB
q3_gru_cell.py	6.7 KB
q3_gru_cell.pyc	7.2 KB
requirements.txt	0.0 KB
util.py	18.5 KB
util.pyc	22.4 KB
/assignments/assignment3/data/
dev.conll	403.0 KB
test.masked	346.1 KB
tiny.conll	73.7 KB
train.conll	1.6 MB
vocab.txt	835.2 KB
wordVectors.txt	47.7 MB
/assignments/assignment3/results/gru/20170703_112643/
checkpoint	0.1 KB
features.pkl	234.5 KB
gru_predictions.conll	520.8 KB
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/assignments/
LICENSE	35.1 KB
README.md	4.0 KB
/cs224n-winter17-notes/
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tensorflow.pdf	298.2 KB
tensorflow.tex	16.0 KB
update_overleaf.sh	0.5 KB
/notes1/fig/
CBOW.png	100.3 KB
manwoman.jpg	99.4 KB
sigmoid.png	25.7 KB
Skip-Gram.png	112.2 KB
tree.png	36.2 KB
/notes1/
reference.bib	2.6 KB
/notes2/fig/
DataSize.png	84.2 KB
hyperparam.png	91.5 KB
IntrinsicEval.png	56.1 KB
LinearBoundary.png	35.2 KB
LinearBoundary2.png	40.3 KB
NonlinearBoundary.png	44.2 KB
pretraining.png	35.9 KB
retraining.png	37.2 KB
TrainTime.png	88.6 KB
window.png	20.0 KB
/notes2/Resources/
ImageBlocks.pptx	46.9 KB
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421nnet.png	63.8 KB
dropout.png	136.2 KB
Error_Surf.png	189.8 KB
ErrorSignal.png	39.7 KB
ErrorSignal2.png	20.6 KB
ErrorSignal3.png	37.7 KB
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SimpleFF.png	51.5 KB
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NNet.pptx	56.5 KB
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nn.tex	5.2 KB
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/notes5/fig/
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birnn.pdf	151.3 KB
cliping.pdf	274.7 KB
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en_decoder.png	58.2 KB
GRU.png	137.1 KB
LSTM.png	168.3 KB
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rnn.pdf	45.5 KB
rnn_loop.pdf	17.8 KB
rnn_node.pdf	21.3 KB
rnn_translate.pdf	44.1 KB
two_layer.pdf	23.1 KB
/notes5/
reference.bib	0.3 KB
/notes6/
alignment.png	21.0 KB
BiEncoder.png	12.2 KB
BPE.png	95.8 KB
candidate_list.png	95.1 KB
Decoder.png	12.7 KB
Encoder.png	10.6 KB
google_example.png	24.9 KB
hybrid.png	49.5 KB
longsentences.png	100.2 KB
partition.png	139.2 KB
pointer.png	212.2 KB
/notes7/fig/
2d_convolution.png	222.3 KB
CNN-alternates.png	520.4 KB
ConstituencyParsing.png	50.8 KB
denpendency.png	44.2 KB
img1.png	130.9 KB
img10.png	77.9 KB
img11.png	42.3 KB
img2.png	147.1 KB
img3.png	48.3 KB
img4.png	92.4 KB
img5.png	80.0 KB
img6.png	102.4 KB
img7.png	141.9 KB
img8.png	49.4 KB
img9.png	102.1 KB
narrow_vs_wide.png	97.0 KB
nonsense.png	41.9 KB
single-conv-complete.png	110.9 KB
single-conv.png	63.3 KB
/notes7/Resources/
ImageBlocks.pptx	46.9 KB
NNet.pptx	56.5 KB
/notes8/fig/
BiGRU.png	31.9 KB
DMN.png	54.1 KB
/sty/
code_snippet.sty	1.3 KB
kbordermatrix.sty	5.5 KB
/tensorflow/fig/
tensorFlow.png	213.4 KB
/tensorflow/
nonsense.svg	45.9 KB
reference.bib	0.3 KB
/Midterm Review/
cs224n-2017-gradient-notes.pdf	232.0 KB
cs224n-midterm-review.pdf	2.9 MB
cs224n-practice-midterm-1.pdf	395.3 KB
cs224n-practice-midterm-2.pdf	334.9 KB
Review Session- Midterm Review.mp4	568.9 MB
/
README.url	0.1 KB
Total files 528