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dc.contributor.editorLuigi Mazzeo, Pier
dc.contributor.editorSpagnolo, Paolo
dc.date.accessioned2023-12-01T18:56:47Z
dc.date.available2023-12-01T18:56:47Z
dc.date.issued2021
dc.identifierONIX_20231201_9781839623752_2264
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/131153
dc.description.abstractDeep learning is a branch of machine learning similar to artificial intelligence. The applications of deep learning vary from medical imaging to industrial quality checking, sports, and precision agriculture. This book is divided into two sections. The first section covers deep learning architectures and the second section describes the state of the art of applications based on deep learning.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learningen_US
dc.subject.otherneural networks, machine learning, artificial intelligence, big data, risk assessment, security
dc.titleDeep Learning Applications
dc.typebook
oapen.identifier.doi10.5772/intechopen.91576
oapen.relation.isPublishedBy78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6
oapen.relation.isbn9781839623752
oapen.relation.isbn9781839623745
oapen.relation.isbn9781839623769
oapen.imprintIntechOpen
oapen.pages214


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