首页 人工智能 深度学习     /    基于tensorflow实现猫狗识别代码(CNN)

基于tensorflow实现猫狗识别代码(CNN)

上传者: jiangyingfeng | 上传时间:2023/7/22 14:27:37 | 文件大小:20.88MB | 文件类型:zip
基于tensorflow实现猫狗识别代码(CNN)
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 本软件ID:10610662

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

【好快吧下载】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,【好快吧下载】 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 【好快吧下载】 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,8686821#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