{"title":"Ian Goodfellow的《生成对抗网络:人工智能学会想象》","authors":"Arthur I. Miller","doi":"10.7551/mitpress/11585.003.0015","DOIUrl":null,"url":null,"abstract":"In 2014, the year before Mordvintsev's DeepDream images went viral, Ian Goodfellow of the University of Montreal came up with an invention that would redefine the frontier of machine learning: generative adversarial networks (GANs). Yann LeCun, who, along with Geoffrey Hinton, pioneered the modern revolution in deep neural networks, declared GANs to be “the most interesting idea in the last 10 years in machine learning.”\n 70","PeriodicalId":251970,"journal":{"name":"The Artist in the Machine","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Ian Goodfellow’s Generative Adversarial Networks: AI Learns to Imagine\",\"authors\":\"Arthur I. Miller\",\"doi\":\"10.7551/mitpress/11585.003.0015\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In 2014, the year before Mordvintsev's DeepDream images went viral, Ian Goodfellow of the University of Montreal came up with an invention that would redefine the frontier of machine learning: generative adversarial networks (GANs). Yann LeCun, who, along with Geoffrey Hinton, pioneered the modern revolution in deep neural networks, declared GANs to be “the most interesting idea in the last 10 years in machine learning.”\\n 70\",\"PeriodicalId\":251970,\"journal\":{\"name\":\"The Artist in the Machine\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Artist in the Machine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.7551/mitpress/11585.003.0015\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Artist in the Machine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7551/mitpress/11585.003.0015","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Ian Goodfellow’s Generative Adversarial Networks: AI Learns to Imagine
In 2014, the year before Mordvintsev's DeepDream images went viral, Ian Goodfellow of the University of Montreal came up with an invention that would redefine the frontier of machine learning: generative adversarial networks (GANs). Yann LeCun, who, along with Geoffrey Hinton, pioneered the modern revolution in deep neural networks, declared GANs to be “the most interesting idea in the last 10 years in machine learning.”
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