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.
learning is part of a broader family of machine learning methods based on learning representations. An observation (e.g., an image) can be represented in many ways (e.g., a vector of pixels), but some representations make it easier to learn tasks of interest (e.g., is this the image of a human face?) from examples, and research
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