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.
ology and its applications to a variety of signal and information pro-cessing tasks. The application areas are chosen with the following three criteria in mind: (1) expertise or knowledge of the authors; (2) the application areas that have already been transformed by the successful use of deep learning technology, such as speech recognition and ...
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