Transcription of Deep Learning: Methods and Applications
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Deep Learning: Methods and Applications
Foundations and TrendsR in Signal ProcessingVol. 7, Nos. 3 4 (2013) 197 387c 2014 L. Deng and D. YuDOI: learning : Methods and ApplicationsLi DengMicrosoft ResearchOne Microsoft WayRedmond, WA 98052; YuMicrosoft ResearchOne Microsoft WayRedmond, WA 98052; Organizationofthismonograph ..2022 Some Historical Context of Deep Learning2053 Three Classes of Deep learning Athree-waycategorization .. Deep networks for unsupervised or generative learning .. Deepnetworksforsupervisedlearning .. Hybriddeepnetworks ..2264 Deep Autoencoders Unsupervised Introduction .. Use of deep autoencoders to extract speech features .. Transformingautoencoders ..2395 Pre-Trained Deep Neural Networks A Unsupervisedlayer-wisepre-training .. InterfacingDNNswithHMMs ..248iiiii6 Deep Stacking Networks and Variants Supervised Introduction.
learning or hierarchical learning, has emerged as a new area of machine learning research [20, 163]. During the past several years, the techniques ... learn distributed and hierarchical feature representations, and to make effective use of both labeled and unlabeled data. Active researchers in this area include those at University of
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