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奥托甘
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2021-02-12
00:53:25
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奥托甘 纸: 。 数据: 再现性审查 AutoGAN已在ICCV 2019上发布。根据``中的指南,本文的功能列出如下。 产品特点 评论 出版年份 2019年 第一年尝试 -- 场地类型 会议 严谨与经验 经验 有附录 没有 看起来令人生畏 没有 可读性 好 算法难度 高 伪码 是 主要话题 NAS,GAN 样题 没有 计算指定 没有 指定的超参数 部分的 需要计算 是 作者回复 呐 可用代码 是 页数 11 出版地点 国际CCV 参考编号 73 数方程 3 号码证明 0 编号表 2 数字图/图 4 编号其他数字 2 概念图 4 作者人数 4 该论文应易于复制,需要GPU进行培训和测试。 具体使用tensorflow-gpu <= 1.14.0和Cuda <= 10.0 。 较高的版本将导致异常。 建立 python >= 3.6 torch >= 1.1
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