基于cnn卷积神经网络的手写数字识别.zip

上传者: 43094976 | 上传时间: 2019-12-28 17:32:05 | 文件大小: 34.38MB | 文件类型: zip
MNIST手写数据集的训练和测试代码,代码准确率高于98%,代码完善,下载即可使用,利用TensorFlow编译环境,适合新手自学。MNIST数据集是个通用数据集,很多新手都会用到。

文件下载

资源详情

[{"title":"( 31 个子文件 34.38MB ) 基于cnn卷积神经网络的手写数字识别.zip","children":[{"title":"mnist_2.py <span style='color:#111;'> 2.29KB </span>","children":null,"spread":false},{"title":"1.png <span style='color:#111;'> 192B </span>","children":null,"spread":false},{"title":"mnist_1.py <span style='color:#111;'> 2.64KB </span>","children":null,"spread":false},{"title":"SAVE","children":[{"title":"checkpoint <span style='color:#111;'> 77B </span>","children":null,"spread":false},{"title":"model.ckpt.index <span style='color:#111;'> 2.50KB </span>","children":null,"spread":false},{"title":"model.ckpt.meta <span style='color:#111;'> 259.33KB </span>","children":null,"spread":false},{"title":"model.ckpt.data-00000-of-00001 <span style='color:#111;'> 112.43MB </span>","children":null,"spread":false}],"spread":true},{"title":"MNIST_data","children":[{"title":"t10k-images-idx3-ubyte.gz <span style='color:#111;'> 1.57MB </span>","children":null,"spread":false},{"title":"img","children":[{"title":"mnist_train_13.png <span style='color:#111;'> 350B </span>","children":null,"spread":false},{"title":"mnist_train_19.png <span style='color:#111;'> 341B </span>","children":null,"spread":false},{"title":"mnist_train_15.png <span style='color:#111;'> 307B </span>","children":null,"spread":false},{"title":"mnist_train_9.png <span style='color:#111;'> 356B </span>","children":null,"spread":false},{"title":"mnist_train_17.png <span style='color:#111;'> 333B </span>","children":null,"spread":false},{"title":"mnist_train_1.png <span style='color:#111;'> 299B </span>","children":null,"spread":false},{"title":"mnist_train_7.png <span style='color:#111;'> 340B </span>","children":null,"spread":false},{"title":"mnist_train_4.png <span style='color:#111;'> 192B </span>","children":null,"spread":false},{"title":"mnist_train_3.png <span style='color:#111;'> 266B </span>","children":null,"spread":false},{"title":"mnist_train_2.png <span style='color:#111;'> 282B </span>","children":null,"spread":false},{"title":"mnist_train_0.png <span style='color:#111;'> 291B </span>","children":null,"spread":false},{"title":"mnist_train_16.png <span style='color:#111;'> 306B </span>","children":null,"spread":false},{"title":"mnist_train_8.png <span style='color:#111;'> 257B </span>","children":null,"spread":false},{"title":"mnist_train_6.png <span style='color:#111;'> 213B </span>","children":null,"spread":false},{"title":"mnist_train_14.png <span style='color:#111;'> 257B </span>","children":null,"spread":false},{"title":"mnist_train_10.png <span style='color:#111;'> 304B </span>","children":null,"spread":false},{"title":"mnist_train_11.png <span style='color:#111;'> 316B </span>","children":null,"spread":false},{"title":"mnist_train_12.png <span style='color:#111;'> 135B </span>","children":null,"spread":false},{"title":"mnist_train_18.png <span style='color:#111;'> 307B </span>","children":null,"spread":false},{"title":"mnist_train_5.png <span style='color:#111;'> 328B </span>","children":null,"spread":false}],"spread":false},{"title":"t10k-labels-idx1-ubyte.gz <span style='color:#111;'> 4.44KB </span>","children":null,"spread":false},{"title":"train-labels-idx1-ubyte.gz <span style='color:#111;'> 28.20KB </span>","children":null,"spread":false},{"title":"train-images-idx3-ubyte.gz <span style='color:#111;'> 9.45MB </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