LEADER 01737nam0 22004213i 450 001 VAN0275456 005 20240620043058.61 017 70$2N$a9789813360488 100 $a20240429d2021 |0itac50 ba 101 $aeng 102 $aSG 105 $a|||| ||||| 200 1 $aGenerative Adversarial Networks for Image Generation$fXudong Mao, Qing Li 210 $aSingapore$cSpringer$d2021 215 $axii, 77 p.$cill.$d24 cm 606 $a68-XX$xComputer science [MSC 2020]$3VANC019670$2MF 606 $a68T07$xArtificial neural networks and deep learning [MSC 2020]$3VANC036862$2MF 610 $aAdversarial Networks$9KW:K 610 $aDeep Learning$9KW:K 610 $aGenerative Adversarial Networks$9KW:K 610 $aGenerative models$9KW:K 610 $aImage Generation$9KW:K 610 $aImage to Image Translation$9KW:K 610 $aMachine learning$9KW:K 610 $aNeural networks$9KW:K 610 $aUnsupervised Domain Adaptation$9KW:K 620 $aSG$dSingapore$3VANL000061 700 1$aMao$bXudong$3VANV227923$01221187 701 1$aLi$bQing$3VANV095076$0431258 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240621$gRICA 856 4 $uhttps://doi.org/10.1007/978-981-33-6048-8$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$1IT-CE0120$2VAN08 912 $fN 912 $aVAN0275456 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS e-Book 8499 $e08eMF8499 20240503 996 $aGenerative Adversarial Networks for Image Generation$94156912 997 $aUNICAMPANIA