TrainNeuralnet.rar

上传者: xswl5148 | 上传时间: 2021-09-02 14:12:51 | 文件大小: 21.52MB | 文件类型: RAR
使用两层网络实现手写数字识别(《深度学习入门:基于Python的理论与实现》实践工程文件)

文件下载

资源详情

[{"title":"( 21 个子文件 21.52MB ) TrainNeuralnet.rar","children":[{"title":"TrainNeuralnet","children":[{"title":"test_neuralnet.py <span style='color:#111;'> 971B </span>","children":null,"spread":false},{"title":"train_neuralnet.py <span style='color:#111;'> 7.21KB </span>","children":null,"spread":false},{"title":"model.pkl <span style='color:#111;'> 310.90KB </span>","children":null,"spread":false},{"title":"mnist.pkl <span style='color:#111;'> 52.40MB </span>","children":null,"spread":false},{"title":".idea","children":[{"title":"misc.xml <span style='color:#111;'> 193B </span>","children":null,"spread":false},{"title":"workspace.xml <span style='color:#111;'> 4.11KB </span>","children":null,"spread":false},{"title":"TrainNeuralnet.iml <span style='color:#111;'> 291B </span>","children":null,"spread":false},{"title":"inspectionProfiles","children":[{"title":"profiles_settings.xml <span style='color:#111;'> 174B </span>","children":null,"spread":false}],"spread":true},{"title":"modules.xml <span style='color:#111;'> 287B </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 50B </span>","children":null,"spread":false}],"spread":true},{"title":"t10k-labels-idx1-ubyte.gz <span style='color:#111;'> 4.44KB </span>","children":null,"spread":false},{"title":"t10k-images-idx3-ubyte.gz <span style='color:#111;'> 1.57MB </span>","children":null,"spread":false},{"title":"train-images-idx3-ubyte.gz <span style='color:#111;'> 9.45MB </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"train_neuralnet.cpython-38.pyc <span style='color:#111;'> 5.69KB </span>","children":null,"spread":false}],"spread":true},{"title":"train-labels-idx1-ubyte.gz <span style='color:#111;'> 28.20KB </span>","children":null,"spread":false},{"title":"picture","children":[{"title":"example3.png <span style='color:#111;'> 368B </span>","children":null,"spread":false},{"title":"example5.png <span style='color:#111;'> 367B </span>","children":null,"spread":false},{"title":"example9.jpeg <span style='color:#111;'> 2.09KB </span>","children":null,"spread":false},{"title":"example0.jpeg <span style='color:#111;'> 9.29KB </span>","children":null,"spread":false},{"title":"example2.jpeg <span style='color:#111;'> 6.94KB </span>","children":null,"spread":false},{"title":"example8.jpeg <span style='color:#111;'> 8.24KB </span>","children":null,"spread":false}],"spread":true}],"spread":false}],"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