element ai研究员博士文本生成对抗网络是噱头还是真金gan for text hype or real deal.pdf

想预览更多内容,点击预览全文

申明敬告:

本站所有内容均由合作方或网友上传,本站不对文档的完整性、权威性及其观点立场正确性做任何保证或承诺!文档内容仅供研究参考,付费前请自行鉴别。如您付费,意味着您自己完全接受本站规则且自行承担所有风险,本站不退款、不进行额外附加服务;如果您已付费下载过本站文档,您可以点击这里二次下载

文档介绍

GANforText:HypeorRealDeal?XiangZhangPart1:GenerativeAdversarialNetsin5MinutesGanforText:HypeorRealDeal?GenerativeAdversarialNets鈼ProposedbyIanJ.Goodfellowetal.in2014RandomzGeneratorgg(z)d(g(z))DiscriminatordSampleyd(y)鈼Learningprocess:鈼Optimized:d(y)鈫d(g(z))鈫鈼Optimizeg:d(g(z))鈫GenerativeAdversarialNets鈼ProposedbyIanJ.Goodfellowetal.in2014RandomzGeneratorgg(z)d(g(z))DiscriminatordSampleyd(y)鈼Itpartiallysolvesthemultimodal(asinstatistics)trainingproblem鈼Generatorgisafunctionmapping.Theonlywayforittogeneratedifferentoutputsistousedifferentinputrandomvaluesz.鈼Usingthediscriminatord,wenolongerneedexplicit(z,y)pairsGenerativeAdversarialNets鈼ProposedbyIanJ.Goodfellowetal.in2014RandomzGeneratorgg(z)d(g(z))DiscriminatordSampleyd(y)鈼Butitdoesnotguaranteediversity鈼Itdoesnotencouragegtooutputdifferent

最近下载