LEADER 01062nam 2200373 450 001 990002879160203316 005 20070309150923.0 035 $a000287916 035 $aUSA01000287916 035 $a(ALEPH)000287916USA01 035 $a000287916 100 $a20070309d1909----km-y0itay50------ba 101 $afre 102 $aFR 105 $a||||||||001yy 200 1 $aLettres de jeunesse$fbiographie et notes par Pierre Blanchon 205 $a2. ed 210 $aParis$cPlon-Nourrit et C.ie$d1909 215 $a365 p.$c1. rit.$d19 cm 300 $asul front. : Avec un portrait 410 0$12001 454 1$12001 461 1$1001-------$12001 676 $a843.9 700 1$aFROMENTIN,$bEugène Samuel Auguste$0596169 702 1$aBLANCHON,$bMichel Désiré Sébastien Jean François Pierre 801 0$aIT$bsalbc$gISBD 912 $a990002879160203316 951 $aXV.5. 493$b197160 LM$cXV.5. 959 $aBK 969 $aFG 979 $aSENATORE$b90$c20070309$lUSA01$h1509 996 $aLettres de jeunesse$9990538 997 $aUNISA LEADER 03865nam 22006615 450 001 9910484248103321 005 20251116212849.0 010 $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