Matlab实现Mnist-image 手写数字图像识别

上传者: zzx2016zzx | 上传时间: 2019-12-21 22:26:44 | 文件大小: 610KB | 文件类型: zip
CNN——卷积神经网络类数字识别matlab实现代码,原因是现在而与Matlab c++ / CUDA库前端比一个Matlab库。这个项目提供了matlab类卷积神经网络的实现。勒存这网络是由Yann和已经成功地使用在许多实际应用,如手写数字识别、人脸检测、机器人导航等更多信息。由于卷积网络的一些建筑的特性,如重量共享实现它是不现实的利用Matlab神经网络工具箱没有它的源代码的修改。这就是为什么这类作品几乎独立于神经网络工具箱(即将完全独立这个版本包括示例使用CNN手写数字的识别。如果你只是想试试cnet_tool运行。你会看到一个简单的GUI。它加载pretrained cnet的卷积神经网络。垫和识别数字的形象画在绘画领域或从MNIST下载数据库。

文件下载

资源详情

[{"title":"( 41 个子文件 610KB ) Matlab实现Mnist-image 手写数字图像识别","children":[{"title":"ver 0.83","children":[{"title":"purelin.m <span style='color:#111;'> 774B </span>","children":null,"spread":false},{"title":"back_conv2.m <span style='color:#111;'> 716B </span>","children":null,"spread":false},{"title":"readMNIST_image.m <span style='color:#111;'> 935B </span>","children":null,"spread":false},{"title":"preproc_data.m <span style='color:#111;'> 1.09KB </span>","children":null,"spread":false},{"title":"rand_std.m <span style='color:#111;'> 972B </span>","children":null,"spread":false},{"title":"cutrain_cnn.m <span style='color:#111;'> 5.34KB </span>","children":null,"spread":false},{"title":"train_cnn.m <span style='color:#111;'> 5.34KB </span>","children":null,"spread":false},{"title":"changelog.txt~ <span style='color:#111;'> 1005B </span>","children":null,"spread":false},{"title":"readMNIST.m <span style='color:#111;'> 3.15KB </span>","children":null,"spread":false},{"title":"changelog.txt <span style='color:#111;'> 1.10KB </span>","children":null,"spread":false},{"title":"back_subsample.m <span style='color:#111;'> 1.03KB </span>","children":null,"spread":false},{"title":"singlestruct2cnn.m <span style='color:#111;'> 1.05KB </span>","children":null,"spread":false},{"title":"cnn_gui.m <span style='color:#111;'> 11.85KB </span>","children":null,"spread":false},{"title":"cnet_tool.m <span style='color:#111;'> 22.56KB </span>","children":null,"spread":false},{"title":"rot180.m <span style='color:#111;'> 57B </span>","children":null,"spread":false},{"title":"cnn2singlestruct.m <span style='color:#111;'> 1005B </span>","children":null,"spread":false},{"title":"test_dgt.m <span style='color:#111;'> 433B </span>","children":null,"spread":false},{"title":"cucalcMCR.m <span style='color:#111;'> 712B </span>","children":null,"spread":false},{"title":"cnn_gui.fig <span style='color:#111;'> 9.72KB </span>","children":null,"spread":false},{"title":"@cnn","children":[{"title":"subsref.m <span style='color:#111;'> 1.67KB </span>","children":null,"spread":false},{"title":"calcje.m <span style='color:#111;'> 5.81KB </span>","children":null,"spread":false},{"title":"cnn.m <span style='color:#111;'> 7.02KB </span>","children":null,"spread":false},{"title":"calcMCR.m <span style='color:#111;'> 710B </span>","children":null,"spread":false},{"title":"sim.m <span style='color:#111;'> 2.90KB </span>","children":null,"spread":false},{"title":"cnn_size.m <span style='color:#111;'> 973B </span>","children":null,"spread":false},{"title":"cutrain.m <span style='color:#111;'> 7.24KB </span>","children":null,"spread":false},{"title":"check_finit_dif.m <span style='color:#111;'> 2.20KB </span>","children":null,"spread":false},{"title":"calchx.m <span style='color:#111;'> 4.99KB </span>","children":null,"spread":false},{"title":"train.m <span style='color:#111;'> 6.61KB </span>","children":null,"spread":false},{"title":"init.m <span style='color:#111;'> 3.78KB </span>","children":null,"spread":false},{"title":"subsasgn.m <span style='color:#111;'> 8.79KB </span>","children":null,"spread":false},{"title":"adapt_dw.m <span style='color:#111;'> 3.76KB </span>","children":null,"spread":false}],"spread":false},{"title":"tansig_mod.m <span style='color:#111;'> 985B </span>","children":null,"spread":false},{"title":"cnet.mat <span style='color:#111;'> 557.38KB </span>","children":null,"spread":false},{"title":"license.txt~ <span style='color:#111;'> 1.31KB </span>","children":null,"spread":false},{"title":"readme.txt <span style='color:#111;'> 3.42KB </span>","children":null,"spread":false},{"title":"preproc_image.m <span style='color:#111;'> 412B </span>","children":null,"spread":false},{"title":"mse.m <span style='color:#111;'> 819B </span>","children":null,"spread":false},{"title":"fastFilter2.m <span style='color:#111;'> 128B </span>","children":null,"spread":false},{"title":"subsample.m <span style='color:#111;'> 1.17KB </span>","children":null,"spread":false}],"spread":false},{"title":"license.txt <span style='color:#111;'> 1.29KB </span>","children":null,"spread":false}],"spread":true}]

评论信息

  • ik662 :
    不怎么样啊,识别不准
    2019-07-06
  • 丶Gypsophila℡满天星 :
    可以允许的
    2019-04-29

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