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001 9910484248103321
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010   $a981-13-6794-9
024 7 $a10.1007/978-981-13-6794-6
035   $a(CKB)4100000008525882
035   $a(DE-He213)978-981-13-6794-6
035   $a(MiAaPQ)EBC5733036
035   $a(PPN)243767579
035   $a(EXLCZ)994100000008525882
100   $a20190314d2020      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aAdvances in Deep Learning /$fby M. Arif Wani, Farooq Ahmad Bhat, Saduf Afzal, Asif Iqbal Khan
205   $a1st ed. 2020.
210  1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2020.
215   $a1 online resource (XIV, 149 p. 87 illus., 53 illus. in color.) 
225 1 $aStudies in Big Data,$x2197-6503 ;$v57
311 08$a981-13-6793-0 
327   $aPreface -- Introduction to Deep Learning -- Basic Deep Learning Models -- Training Basic Deep Learning Models -- Optimising Deep Learning Models -- Application of Deep Learning in Classification -- Application of Deep Learning in Segmentation -- Application of Deep Learning in Face Recognition -- Application of Deep Learning in Fingerprint Recognition -- Author's Index.
330   $aThis book introduces readers to both basic and advanced concepts in deep network models. It covers state-of-the-art deep architectures that many researchers are currently using to overcome the limitations of the traditional artificial neural networks. Various deep architecture models and their components are discussed in detail, and subsequently illustrated by algorithms and selected applications. In addition, the book explains in detail the transfer learning approach for faster training of deep models; the approach is also demonstrated on large volumes of fingerprint and face image datasets. In closing, it discusses the unique set of problems and challenges associated with these models.
410  0$aStudies in Big Data,$x2197-6503 ;$v57
606   $aComputational intelligence
606   $aBig data
606   $aNeural networks (Computer science)
606   $aOptical data processing
606   $aArtificial intelligence
606   $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014
606   $aBig Data$3https://scigraph.springernature.com/ontologies/product-market-codes/I29120
606   $aMathematical Models of Cognitive Processes and Neural Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/M13100
606   $aComputer Imaging, Vision, Pattern Recognition and Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22005
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
615  0$aComputational intelligence.
615  0$aBig data.
615  0$aNeural networks (Computer science)
615  0$aOptical data processing.
615  0$aArtificial intelligence.
615 14$aComputational Intelligence.
615 24$aBig Data.
615 24$aMathematical Models of Cognitive Processes and Neural Networks.
615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics.
615 24$aArtificial Intelligence.
676   $a006.3
700   $aWani$b M. Arif$4aut$4http://id.loc.gov/vocabulary/relators/aut$01006177
702   $aBhat$b Farooq Ahmad$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aAfzal$b Saduf$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aKhan$b Asif Iqbal$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910484248103321
996   $aAdvances in Deep Learning$92845650
997   $aUNINA