亚搏体育app官网入口|深度学习被高频引用的41篇论文下载（附下载）

泉源：Python与算法社区本文多干货，建议收藏本文为你汇总深度学习相关高引论文。1 ImageNet Classification with Deep Convolutional Neural Networks下载地址：http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf2 Using Very Deep Autoencoders for Content Based Image Retrieval下载地址：http://www.cs.toronto.edu/~hinton/absps/esann-deep-final.pdf3 Learning Deep Architectures for AI下载地址：http://www.iro.umontreal.ca/~lisa/pointeurs/TR1312.pdf4 CMU’s list of papers下载地址：http://deeplearning.cs.cmu.edu/5 Neural Networks for Named Entity Recognition zip下载地址：https://nlp.stanford.edu/~socherr/pa4_ner.pdf6 Geoff Hinton's reading list (all papers)下载地址：http://www.cs.toronto.edu/~hinton/deeprefs.html7 Supervised Sequence Labelling with Recurrent Neural Networks下载地址：http://www.cs.toronto.edu/~graves/preprint.pdf8 Statistical Language Models based on Neural Networks下载地址：http://www.fit.vutbr.cz/~imikolov/rnnlm/thesis.pdf9 Training Recurrent Neural Networks下载地址：http://www.cs.utoronto.ca/~ilya/pubs/ilya_sutskever_phd_thesis.pdf10 Recursive Deep Learning for Natural Language Processing and Computer下载地址：Vision https://nlp.stanford.edu/~socherr/thesis.pdf11 Bi-directional RNN下载地址：https://www.di.ufpe.br/~fnj/RNA/bibliografia/BRNN.pdf12 LSTM下载地址：http://web.eecs.utk.edu/~ielhanan/courses/ECE-692/Bobby_paper1.pdf13 GRU - Gated Recurrent Unit下载地址：https://arxiv.org/pdf/1406.1078v3.pdf14 GFRNN下载地址：https://arxiv.org/pdf/1502.02367v3.pdf15 LSTM: A Search Space Odyssey下载地址：https://arxiv.org/pdf/1503.04069v1.pdf16 A Critical Review of Recurrent Neural Networks for Sequence Learning下载地址：https://arxiv.org/pdf/1506.00019v1.pdf17 Visualizing and Understanding Recurrent Networks下载地址：https://arxiv.org/pdf/1506.02078v1.pdf18 Wojciech Zaremba, Ilya Sutskever, An Empirical Exploration of Recurrent Network Architectures下载地址：http://proceedings.mlr.press/v37/jozefowicz15.pdf19 Recurrent Neural Network based Language Model下载地址：http://www.fit.vutbr.cz/research/groups/speech/publi/2010/mikolov_interspeech2010_IS100722.pdf20 Extensions of Recurrent Neural Network Language Model下载地址：http://www.fit.vutbr.cz/research/groups/speech/publi/2011/mikolov_icassp2011_5528.pdf21 Recurrent Neural Network based Language Modeling in Meeting Recognition下载地址：http://www.fit.vutbr.cz/~imikolov/rnnlm/ApplicationOfRNNinMeetingRecognition_IS2011.pdf22 Deep Neural Networks for Acoustic Modeling in Speech Recognition Speech下载地址：http://cs224d.stanford.edu/papers/maas_paper.pdf23 Reinforcement Learning Neural Turing Machines下载地址：https://arxiv.org/pdf/1505.00521v1.pdf24 Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation下载地址：https://arxiv.org/pdf/1406.1078v3.pdf25 Google - Sequence to Sequence Learning with Neural Networks下载地址：http://papers.nips.cc/paper/5346-sequence-to-sequence-learning-with-neural-networks.pdf26 Memory Networks下载地址：https://arxiv.org/pdf/1410.3916v10.pdf27 Policy Learning with Continuous Memory States for Partially Observed Robotic Control下载地址：https://arxiv.org/pdf/1507.01273v1.pdf28 Microsoft - Jointly Modeling Embedding and Translation to Bridge Video and Language下载地址：https://arxiv.org/pdf/1505.01861v1.pdf29 Neural Turing Machines下载地址：https://arxiv.org/pdf/1410.5401v2.pdf30 Ask Me Anything: Dynamic Memory Networks for Natural Language Processing下载地址：https://arxiv.org/pdf/1506.07285v1.pdf31 Mastering the Game of Go with Deep Neural Networks and Tree Search下载地址：https://www.nature.com/articles/nature1696132 Batch Normalization下载地址：https://arxiv.org/abs/1502.0316733 Residual Learning下载地址：https://arxiv.org/pdf/1512.03385v1.pdf34 Image-to-Image Translation with Conditional Adversarial Networks下载地址：https://arxiv.org/pdf/1611.07004v1.pdf35 Berkeley AI Research (BAIR) Laboratory下载地址：https://arxiv.org/pdf/1611.07004v1.pdf36 MobileNets by Google下载地址：https://arxiv.org/abs/1704.0486137 Cross Audio-Visual Recognition in the Wild Using Deep Learning下载地址：https://arxiv.org/abs/1706.0573938 Dynamic Routing Between Capsules下载地址：https://arxiv.org/abs/1710.0982939 Matrix Capsules With Em Routing下载地址：https://openreview.net/pdf?id=HJWLfGWRb40 Efficient BackProp下载地址：http://yann.lecun.com/exdb/publis/pdf/lecun-98b.pdf41 Recognition with Deep Recurrent Neural Networks下载地址：http://cs224d.stanford.edu/papers/maas_paper.pdf编辑：黄继彦—完—关注清华-青岛数据科学研究院官方微信民众平台“ THU数据派 ”及姊妹号“ 数据派THU ”获取更多讲座福利及优质内容。

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