［1］HINTON G E,OSINDERO S,TEH Y W.A fast learning algorithm for deep belief nets［J］.Neural Computation,2006,18(7):1527-1554.
［2］陈宇,郑德权,赵铁军.基于Deep Belief Nets的中文名实体关系抽取［J］.软件学报,2012,23(10):2572-2585.
［3］HINTON G E,SALAKHUTDINOV R R.Reducing the dimensionality of data with neural networks［J］.Science,2006,313(5786):504-507.
［4］HINTON G E.A practical guide to training restricted Boltzmann machines［M］//MONTAVON G,ORR G B,MLLER K R.Neural Networks:Tricks of the Trade.Berlin,Germany:Springer,2012.
［5］刘建伟,刘媛,罗雄麟.玻尔兹曼机研究进展［J］.计算机研究与发展,2014,51(1):1-16.
［6］BENGIO Y.Learning deep architectures for AI［J］.Foundations and Trends in Machine Learning,2009,2(1):1-127.
［7］AREL I,ROSE D C,KARNOWSKI T P.Deep machine learning-a new frontier in artificial intelligence research［J］.IEEE Computational Intelligence Magazine,2010,5(4):13-18.
［8］KRIZHEVSKY A,SUTSKEVER I,HINTON G E.ImageNet classification with deep convolutional neural networks［J］.Communications of the ACM,2017,60(6):84-90.
［9］MAAS A L,HANNUN A Y,NG A Y.Rectifier nonlinearities improve neural network acoustic models［C］//Proceedings of the 30th International Conference on Machine Learning.Washington D.C.,USA:IEEE Press,2013:15-19.
［10］HINTON G E,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.
［11］DAHL G E,YU D,DENG L,et al.Context-dependent pre-trained deep neural networks for large vocabulary speech recognition［J］.IEEE Transactions on Audio,Speech,and Language Processing,2012,20(1):33-42.
［12］JRGEN S.Deep learning in neural networks:an overview［J］.Neural Networks,2015,61:85-117.
［13］LECUN Y,BENGIO Y,HINTON G.Deep learning［J］.Nature,2015,521(7553):436-444.
［14］BENGIO Y.Practical recommendations for gradient-based training of deep architectures［M］//MONTAVON G,ORR G B,MLLER K R.Neural Networks:Tricks of the Trade.Berlin,Germany:Springer,2012.
［15］SERMANET P,KAVUKCUOGLU K,CHINTALA S,et al.Pedestrian detection with unsupervised multi-stage feature learning［C］//Proceedings of International Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2013:3626-3633.
［16］WELLING M,HINTON G E.A new learning algorithm for mean field Boltzmann machines［C］//Proceedings of International Conference on Artificial Neural Networks.Berlin,Germany:Springer,2002:351-357.
［17］LECUN Y,CORTES C.The mnist database of handwritten digits［EB/OL］.［2017-04-05］.https://www.lri.fr/~ma rc/Master2/MNIST_doc.pdf.
［18］PALM R M.Prediction as a candidate for learning deep hierarchical models of data［EB/OL］.［2017-04-01］.https://github.com/rasmusbergpalm/DeepLearnToolbox.