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      Applications of artificial intelligence in dentistry: A comprehensive review

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          Deep learning.

          Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically improved the state-of-the-art in speech recognition, visual object recognition, object detection and many other domains such as drug discovery and genomics. Deep learning discovers intricate structure in large data sets by using the backpropagation algorithm to indicate how a machine should change its internal parameters that are used to compute the representation in each layer from the representation in the previous layer. Deep convolutional nets have brought about breakthroughs in processing images, video, speech and audio, whereas recurrent nets have shone light on sequential data such as text and speech.
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            Deep Residual Learning for Image Recognition

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              Fuzzy sets

              L.A. Zadeh (1965)
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                Author and article information

                Contributors
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                Journal
                Journal of Esthetic and Restorative Dentistry
                J Esthet Restor Dent
                Wiley
                1496-4155
                1708-8240
                January 2022
                November 29 2021
                January 2022
                : 34
                : 1
                : 259-280
                Affiliations
                [1 ]Department of Computer Architecture and Technology E.T.S.I.I.T.‐C.I.T.I.C. University of Granada Granada Spain
                [2 ]Post‐Graduate Program in Dentistry, Dental School University of Passo Fundo Passo Fundo Brazil
                [3 ]Department of Restorative Dentistry and Prosthodontics, School of Dentistry University of Texas Health Science Center at Houston Houston Texas USA
                [4 ]Department of Optics, Faculty of Science University of Granada Granada Spain
                [5 ]Department of Stomatology, Campus Cartuja University of Granada Granada Spain
                Article
                10.1111/jerd.12844
                34842324
                1cf370c6-748c-46fb-873b-4ad79803b138
                © 2022

                http://creativecommons.org/licenses/by-nc-nd/4.0/

                http://doi.wiley.com/10.1002/tdm_license_1.1

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