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Generative adversarial networks: from generating data to creating intelligenceChinese Full Text

Wang Kun-Feng;Zuo Wang-Meng;Tan Ying;Qin Tao;Li Li;Wang Fei-Yue;The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences;Qingdao Academy of Intelligent Industries;School of Computer Science and Technology, Harbin Institute of Technology;School of Electronics Engineering and Computer Science, Peking University;Microsoft Research Asia;Department of Automation, Tsinghua University;Research Center for Computational Experiments and Parallel Systems Technology, National University of Defense Technology;

Abstract: <正>技术创新是社会经济发展的核心驱动力.继以物联网、云计算、大数据和移动互联网为代表的信息技术之后,以深度学习为代表的人工智能技术蓬勃发展,被公认是社会经济发展的新动能和新引擎,有望在农业生产、工业制造、经济金融、社会管理等众多领域产生颠覆性变革.生成式对抗网络(Generative adversarial networks,GAN)作为一种新的生成式模型,已成为深度学习与人工智能技术 
  • DOI:

    10.16383/j.aas.2018.y000001

  • Series:

    (I) Electronic Technology & Information Science

  • Subject:

    Computer Software and Application of Computer; Automation Technology

  • Classification Code:

    TP18;TP391.41

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