Computer Science ›› 2020, Vol. 47 ›› Issue (7): 220-226.doi: 10.11896/jsjkx.200300097
Special Issue: Network and communication
• Computer Network • Previous Articles Next Articles
JIANG Wen-bin, FU Zhi, PENG Jing, ZHU Jian
CLC Number:
[1]LECUN Y,BENGIO Y,HINTON G.Deep Learning[J].Na-ture,2015,521(7553):436-444. [2]YIN B,WANG W,WANG L.Review of Deep Learning[J].Journal of Beijing University of Technology,2015,41(1):48-59. [3]HINTON G,DENG L,YU D,et al.Deep Neural Networks for Acoustic Modeling in Speech Recognition:The Shared Views of Four Research Groups[J].IEEE Signal Processing Magazine,2012,29(6):82-97. [4]GRAVES A,MOHAMED A,HINTON G.Speech Recognition with Deep Recurrent Neural Networks[C]//International Conference on Acoustics,Speech and Signal Processing.USA:IEEE,2013:6645-6649. [5]DAI Y L,HE L,HUANG Z C.Unsupervised image hashing algorithm based on sparse-autoencoder[J].Computer Enginee-ring,2019,45(5):222-225,236. [6]FARABET C,COUPRIE C,NAJMAN L,et al.Learning Hierarchical Features for Scene Labeling[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2013,35(8):1915-1929. [7]SUTSKEVER I,VINYALS O,LE Q.Sequence to SequenceLearning with Neural Networks[C]//Advances in Neural Information Processing Systems 27.USA:MIT press,2014:3104-3112. [8]COLLOBERT R,WESTON J,BOTTOU L,et al.Natural Language Processing (Almost) from Scratch[J].Journal of Machine Learning Research,2011,12(8):2493-2537. [9]YU K,JIA L,CHEN Y,et al.Deep Learning:Yesterday,To-day,and Tomorrow[J].Journal of Computer Research and Development,2013,50(9):1799-1804. [10]CHE S,BOYER M,MENG J,et al.A Performance Study ofGeneral-purpose Applications on Graphics Processors Using CUDA[J].Journal of Parallel and Distributed Computing,2008,68(10):1370-1380. [11]HUILGOL R.2bit Gradient Compression [EB/OL].https://github.com/apache/incubator-mxnet/pull/8662. [12]DEAN J,CORRADO G,MONGA R,et al.Large Scale Distributed Deep Networks[C]//Advances in Neural Information Processing Systems 25.USA:Curran Associates Inc,2012:1223-1231. [13]REN Y,WU X,LI Z,et al.iRDMA:Efficient Use of RDMA in Distributed Deep Learning Systems[C]//Proceedings of the 2017 IEEE 19th International Conference on High Performance Computing and Communications.USA:IEEE,2017:231-238. [14]ZHANG H,ZHENG Z,XU S,et al.Poseidon:An EfficientCommunication Architecture for Distributed Deep Learning on GPU Clusters[C]//Proceedings of the 2017 USENIX Annual Technical Conference.USA:USENIX Association,2017:181-193. [15]WEN W,XU C,YAN F,et al.TernGrad:Ternary Gradients to Reduce Communication in Distributed Deep Learning[C]//Advances in Neural Information Processing Systems 30.USA:Curran Associates Inc,2017:1508-1518. [16]IOFFE S,SZEGEDY C.Batch Normalization:Accelerating Deep Network Training by Reducing Internal Covariate Shift[J].ArXiv:1502.03167,2015. [17]KRIZHEVSKY A,HINTON G.Learning Multiple Layers ofFeatures from Tiny Images[R].Toronto:University of Toronto,2009. [18]ZHAO L,WANG J,LI X,et al.On the Connection of Deep Fusion to Ensembling[J].ArXiv:1611.07718,2016. [19]RUSSAKOVSKY O,DENG J,SU H,et al.ImageNet LargeScale Visual Recognition Challenge[J].International Journal of Computer Vision,2015,115(3):211-252. |
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