基于tensorflow实现猫狗识别代码(CNN)

上传者: jiangyingfeng | 上传时间: 2019-12-21 19:59:30 | 文件大小: 20.88MB | 文件类型: zip
通过TensorFlow搭建卷积神经网络实现猫狗识别代码,训练和测试代码完整,下载之后可以直接运行测试打码,运行环境在Linux下,需要把代码中的路径修改为本机实际路径

文件下载

资源详情

[{"title":"( 51 个子文件 20.88MB ) 基于tensorflow实现猫狗识别代码(CNN)","children":[{"title":"CatVsDogRecong","children":[{"title":"model.pyc <span style='color:#111;'> 3.71KB </span>","children":null,"spread":false},{"title":"0.jpg <span style='color:#111;'> 19.96KB </span>","children":null,"spread":false},{"title":"log","children":[{"title":"events.out.tfevents.1534313958.ubuntu <span style='color:#111;'> 222.87KB </span>","children":null,"spread":false}],"spread":true},{"title":"modelsave","children":[{"title":"model_ckpt-999.data-00000-of-00001 <span style='color:#111;'> 24.32MB </span>","children":null,"spread":false},{"title":"model_ckpt-999.index <span style='color:#111;'> 1.22KB </span>","children":null,"spread":false},{"title":"model_ckpt-999.meta <span style='color:#111;'> 120.88KB </span>","children":null,"spread":false},{"title":"checkpoint <span style='color:#111;'> 173B </span>","children":null,"spread":false}],"spread":true},{"title":"003.jpg <span style='color:#111;'> 12.86KB </span>","children":null,"spread":false},{"title":"test.py <span style='color:#111;'> 1.56KB </span>","children":null,"spread":false},{"title":"train_image","children":[{"title":"0","children":[{"title":"006.jpg <span style='color:#111;'> 15.69KB </span>","children":null,"spread":false},{"title":"017.jpg <span style='color:#111;'> 16.75KB </span>","children":null,"spread":false},{"title":"002.jpg <span style='color:#111;'> 19.92KB </span>","children":null,"spread":false},{"title":"007.jpg <span style='color:#111;'> 12.51KB </span>","children":null,"spread":false},{"title":"003.jpg <span style='color:#111;'> 17.65KB </span>","children":null,"spread":false},{"title":"008.jpg <span style='color:#111;'> 22.21KB </span>","children":null,"spread":false},{"title":"018.jpg <span style='color:#111;'> 15.64KB </span>","children":null,"spread":false},{"title":"012.jpg <span style='color:#111;'> 16.44KB </span>","children":null,"spread":false},{"title":"019.jpg <span style='color:#111;'> 14.95KB </span>","children":null,"spread":false},{"title":"005.jpg <span style='color:#111;'> 16.12KB </span>","children":null,"spread":false},{"title":"000.jpg <span style='color:#111;'> 20.18KB </span>","children":null,"spread":false},{"title":"016.jpg <span style='color:#111;'> 15.61KB </span>","children":null,"spread":false},{"title":"010.jpg <span style='color:#111;'> 19.65KB </span>","children":null,"spread":false},{"title":"014.jpg <span style='color:#111;'> 24.13KB </span>","children":null,"spread":false},{"title":"013.jpg <span style='color:#111;'> 18.88KB </span>","children":null,"spread":false},{"title":"004.jpg <span style='color:#111;'> 13.94KB </span>","children":null,"spread":false},{"title":"001.jpg <span style='color:#111;'> 19.96KB </span>","children":null,"spread":false},{"title":"009.jpg <span style='color:#111;'> 16.11KB </span>","children":null,"spread":false},{"title":"015.jpg <span style='color:#111;'> 20.24KB </span>","children":null,"spread":false},{"title":"011.jpg <span style='color:#111;'> 16.74KB </span>","children":null,"spread":false}],"spread":false},{"title":"1","children":[{"title":"006.jpg <span style='color:#111;'> 24.52KB </span>","children":null,"spread":false},{"title":"017.jpg <span style='color:#111;'> 15.29KB </span>","children":null,"spread":false},{"title":"002.jpg <span style='color:#111;'> 31.79KB </span>","children":null,"spread":false},{"title":"007.jpg <span style='color:#111;'> 33.38KB </span>","children":null,"spread":false},{"title":"003.jpg <span style='color:#111;'> 12.86KB </span>","children":null,"spread":false},{"title":"008.jpg <span style='color:#111;'> 11.08KB </span>","children":null,"spread":false},{"title":"018.jpg <span style='color:#111;'> 12.69KB </span>","children":null,"spread":false},{"title":"012.jpg <span style='color:#111;'> 32.45KB </span>","children":null,"spread":false},{"title":"019.jpg <span style='color:#111;'> 16.98KB </span>","children":null,"spread":false},{"title":"005.jpg <span style='color:#111;'> 18.08KB </span>","children":null,"spread":false},{"title":"000.jpg <span style='color:#111;'> 24.27KB </span>","children":null,"spread":false},{"title":"016.jpg <span style='color:#111;'> 15.22KB </span>","children":null,"spread":false},{"title":"010.jpg <span style='color:#111;'> 11.80KB </span>","children":null,"spread":false},{"title":"014.jpg <span style='color:#111;'> 15.07KB </span>","children":null,"spread":false},{"title":"013.jpg <span style='color:#111;'> 26.50KB </span>","children":null,"spread":false},{"title":"004.jpg <span style='color:#111;'> 13.70KB </span>","children":null,"spread":false},{"title":"001.jpg <span style='color:#111;'> 14.20KB </span>","children":null,"spread":false},{"title":"009.jpg <span style='color:#111;'> 14.20KB </span>","children":null,"spread":false},{"title":"015.jpg <span style='color:#111;'> 33.61KB </span>","children":null,"spread":false},{"title":"011.jpg <span style='color:#111;'> 42.87KB </span>","children":null,"spread":false}],"spread":false}],"spread":true},{"title":"model.py <span style='color:#111;'> 4.89KB </span>","children":null,"spread":false},{"title":"train.py <span style='color:#111;'> 3.08KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}]

评论信息

  • zuimei2015 :
    非常不错,再写实验报告,用的上
    2020-12-30
  • qq_38032104 :
    非常好值得学习
    2019-05-28
  • IPET007 :
    试了一下,效果还不错。能够满足识别要求。不过,后续自己需要根据实际的应用场景进行调整和优化
    2019-05-27
  • weixin_38082837 :
    不错不错不错
    2019-04-06
  • lChuan^_^ :
    好像还不错,我重新下载一次
    2019-03-18

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