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Generative Adversial Networks. A 2019 Review
SYS 0518921 LBL 01000a^^22220027750^450 005 20240103223324.7 017 $2 DOI 100 $a 20200106d m y slo 03 ba 101 $a eng 102 $a CZ 200 1-
$a Generative Adversial Networks. A 2019 Review 215 $a 3 s. 463 -1
$1 001 cav_un_epca*0509112 $1 010 $a 978-80-7378-400-3 $1 200 1 $a Proceedings of the 22nd Czech-Japan Seminar on Data Analysis and Decision Making (CJS’19) $v S. 25-27 $1 210 $a Praha $c MatfyzPress $d 2019 $1 702 1 $4 340 $a Inuiguchi $b Masahiro $1 702 1 $4 340 $a Jiroušek $b Radim $1 702 1 $4 340 $a Kratochvíl $b Václav 700 -1
$3 cav_un_auth*0100738 $a Coufal $b David $p UIVT-O $i Oddělení strojového učení $j Department of Machine Learning $w Department of Machine Learning $T Ústav informatiky AV ČR, v. v. i. 856 $u http://cjs.utia.cas.cz/proceedings.pdf
Number of the records: 1