resnet学习.zip

上传者: zzz12341 | 上传时间: 2021-08-03 17:02:52 | 文件大小: 718KB | 文件类型: ZIP
标准resnet跑cifar数据集的代码,各部分细节都按照论文做了改动,欢迎下载

文件下载

资源详情

[{"title":"( 14 个子文件 718KB ) resnet学习.zip","children":[{"title":"Deep Residual Learning for Image Recognition.pdf <span style='color:#111;'> 738.50KB </span>","children":null,"spread":false},{"title":"cifar_resnet_standard","children":[{"title":"read_data.py <span style='color:#111;'> 3.29KB </span>","children":null,"spread":false},{"title":"train.py <span style='color:#111;'> 6.84KB </span>","children":null,"spread":false},{"title":"config.py <span style='color:#111;'> 1.11KB </span>","children":null,"spread":false},{"title":".idea","children":[{"title":"misc.xml <span style='color:#111;'> 198B </span>","children":null,"spread":false},{"title":"workspace.xml <span style='color:#111;'> 4.77KB </span>","children":null,"spread":false},{"title":"dictionaries","children":[{"title":"pc.xml <span style='color:#111;'> 83B </span>","children":null,"spread":false}],"spread":true},{"title":"resnet-standard.iml <span style='color:#111;'> 448B </span>","children":null,"spread":false},{"title":"inspectionProfiles","children":[{"title":"Project_Default.xml <span style='color:#111;'> 1.00KB </span>","children":null,"spread":false},{"title":"profiles_settings.xml <span style='color:#111;'> 228B </span>","children":null,"spread":false}],"spread":true},{"title":"modules.xml <span style='color:#111;'> 289B </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 50B </span>","children":null,"spread":false}],"spread":true},{"title":"__pycache__","children":[{"title":"resnet.cpython-37.pyc <span style='color:#111;'> 5.60KB </span>","children":null,"spread":false}],"spread":true},{"title":"resnet.py <span style='color:#111;'> 6.20KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明