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Title: DeepLearningBook/DeepLearningPapers.md at master · stoneNo/DeepLearningBook · GitHub

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Description: MIT Deep Learning Book in PDF format. Contribute to stoneNo/DeepLearningBook development by creating an account on GitHub.

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https://github.com/stoneNo/DeepLearningBook/blob/master/DeepLearningPapers.md#survey-review
[pdf]https://www.cs.toronto.edu/~hinton/absps/NatureDeepReview.pdf
[pdf]http://www2.econ.iastate.edu/tesfatsi/DeepLearningInNeuralNetworksOverview.JSchmidhuber2015.pdf
[pdf]http://www.cl.uni-heidelberg.de/courses/ws14/deepl/BengioETAL12.pdf
https://github.com/stoneNo/DeepLearningBook/blob/master/DeepLearningPapers.md#theory-future
[pdf]http://arxiv.org/pdf/1503.02531
[pdf]http://arxiv.org/pdf/1412.1897
[pdf]http://papers.nips.cc/paper/5347-how-transferable-are-features-in-deep-neural-networks.pdf
[pdf]http://machinelearning.wustl.edu/mlpapers/paper_files/AISTATS2010_ErhanCBV10.pdf
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[pdf]https://www.cs.ox.ac.uk/people/nando.defreitas/publications/BayesOptLoop.pdf
[pdf]http://arxiv.org/pdf/1502.03167
[pdf]http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/He_Delving_Deep_into_ICCV_2015_paper.pdf
[pdf]http://jmlr.org/papers/volume15/srivastava14a/srivastava14a.pdf
[pdf]http://arxiv.org/pdf/1412.6980
[pdf]http://machinelearning.wustl.edu/mlpapers/paper_files/icml2013_wan13.pdf
[pdf]http://arxiv.org/pdf/1207.0580.pdf
[pdf]http://arxiv.org/pdf/1406.4729
[pdf]http://www.jmlr.org/papers/volume13/bergstra12a/bergstra12a
https://github.com/stoneNo/DeepLearningBook/blob/master/DeepLearningPapers.md#networkmodels
[pdf]http://arxiv.org/pdf/1512.03385
[pdf]http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Szegedy_Going_Deeper_With_2015_CVPR_paper.pdf
[pdf]http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Girshick_Fast_R-CNN_ICCV_2015_paper.pdf
[pdf]http://arxiv.org/pdf/1409.1556
[pdf]http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Long_Fully_Convolutional_Networks_2015_CVPR_paper.pdf
[pdf]http://arxiv.org/pdf/1312.6229
[pdf]http://arxiv.org/pdf/1311.2901
[pdf]http://arxiv.org/pdf/1302.4389v4
[pdf]http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf
[pdf]http://papers.nips.cc/paper/4687-large-scale-distributed-deep-networks.pdf
[pdf]http://machinelearning.wustl.edu/mlpapers/paper_files/AISTATS2011_GlorotBB11.pdf
https://github.com/stoneNo/DeepLearningBook/blob/master/DeepLearningPapers.md#image
[pdf]http://arxiv.org/pdf/1409.0575
[pdf]http://papers.nips.cc/paper/5638-faster-r-cnn-towards-real-time-object-detection-with-region-proposal-networks.pdf
[pdf]http://arxiv.org/pdf/1502.04623
[pdf]http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Girshick_Rich_Feature_Hierarchies_2014_CVPR_paper.pdf
[pdf]http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Oquab_Learning_and_Transferring_2014_CVPR_paper.pdf
[pdf]http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Taigman_DeepFace_Closing_the_2014_CVPR_paper.pdf
[pdf]http://arxiv.org/pdf/1310.1531
[pdf]https://hal-enpc.archives-ouvertes.fr/docs/00/74/20/77/PDF/farabet-pami-13.pdf
[pdf]http://robotics.stanford.edu/~wzou/cvpr_LeZouYeungNg11.pdf
[pdf]http://ece.duke.edu/~lcarin/boureau-cvpr-10.pdf
https://github.com/stoneNo/DeepLearningBook/blob/master/DeepLearningPapers.md#caption
[pdf]http://arxiv.org/pdf/1502.03044
[pdf]http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Vinyals_Show_and_Tell_2015_CVPR_paper.pdf
[pdf]http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Girshick_Rich_Feature_Hierarchies_2014_CVPR_paper.pdf
[pdf]http://www.cv-foundation.org/openaccess/content_cvpr_2015/html/Karpathy_Deep_Visual-Semantic_Alignments_2015_CVPR_paper.html
https://github.com/stoneNo/DeepLearningBook/blob/master/DeepLearningPapers.md#video-humanactivity
[pdf]https://github.com/stoneNo/DeepLearningBook/blob/master/vision.stanford.edu/pdf/karpathy14.pdf
[pdf]http://romisatriawahono.net/lecture/rm/survey/computer%20vision/Lara%20-%20Human%20Activity%20Recognition%20-%202013.pdf
[pdf]http://machinelearning.wustl.edu/mlpapers/paper_files/icml2010_JiXYY10.pdf
[pdf]http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Toshev_DeepPose_Human_Pose_2014_CVPR_paper.pdf
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https://github.com/stoneNo/DeepLearningBook/blob/master/DeepLearningPapers.md#wordembedding
[pdf]http://llcao.net/cu-deeplearning15/presentation/nn-pres.pdf
[pdf]http://papers.nips.cc/paper/5346-sequence-to-sequence-learning-with-neural-networks.pdf
[pdf]http://arxiv.org/pdf/1405.4053
[pdf]http://papers.nips.cc/paper/5021-distributed-representations-of-words-and-phrases-and-their-compositionality.pdf
[pdf]http://arxiv.org/pdf/1301.3781
[pdf]http://www.anthology.aclweb.org/P/P10/P10-1040.pdf
https://github.com/stoneNo/DeepLearningBook/blob/master/DeepLearningPapers.md#machinetranslation-qna
[pdf]http://arxiv.org/pdf/1502.05698
[pdf]http://arxiv.org/pdf/1409.0473
[pdf]http://arxiv.org/pdf/1406.1078
[pdf]http://arxiv.org/pdf/1404.2188v1
[pdf]http://arxiv.org/pdf/1408.5882
[pdf]http://www.surdeanu.info/mihai/papers/acl2014-corenlp.pdf
[pdf]http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.383.1327&rep=rep1&type=pdf
[pdf]http://arxiv.org/pdf/1103.0398
[pdf]http://www.fit.vutbr.cz/research/groups/speech/servite/2010/rnnlm_mikolov.pdf
https://github.com/stoneNo/DeepLearningBook/blob/master/DeepLearningPapers.md#speech-etc
[pdf]http://arxiv.org/pdf/1303.5778.pdf
[pdf]http://www.cs.toronto.edu/~asamir/papers/SPM_DNN_12.pdf
[pdf]http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.337.7548&rep=rep1&type=pdf
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[pdf]http://www.davidqiu.com:8888/research/nature14236.pdf
[pdf]http://www.cs.cornell.edu/~asaxena/papers/lenz_lee_saxena_deep_learning_grasping_ijrr2014.pdf
[pdf]http://arxiv.org/pdf/1312.5602.pdf
https://github.com/stoneNo/DeepLearningBook/blob/master/DeepLearningPapers.md#unsupervised
[pdf]http://arxiv.org/pdf/1112.6209
[pdf]http://machinelearning.wustl.edu/mlpapers/paper_files/ICML2011Rifai_455.pdf
[pdf]http://machinelearning.wustl.edu/mlpapers/paper_files/AISTATS2011_CoatesNL11.pdf
[pdf]http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.297.3484&rep=rep1&type=pdf
[pdf]http://www.csri.utoronto.ca/~hinton/absps/guideTR.pdf
[pdf]http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.297.3484&rep=rep1&type=pdf
https://github.com/stoneNo/DeepLearningBook/blob/master/DeepLearningPapers.md#hardware-software
[pdf]http://arxiv.org/pdf/1603.04467
[pdf]http://arxiv.org/pdf/1412.4564
[pdf]http://arxiv.org/pdf/1408.5093
[pdf]http://arxiv.org/pdf/1211.5590
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