搜索资源列表
CoolMenuSkinObjectSource
- DNN皮肤开发例子，可以说明DNN皮肤开发的主要内容。-DNN skin development example to illustrate the development of the DNN skin main content.
CategoriesModule-Source
- DNN的目录管理模块源码。一般是与文章管理配合使用。-DNN directory management module source. The article is generally used in conjunction with management.
Skin.ZIP
- DNN（DotNetNuke）是一款网站内容软件 皮肤源代码，
LCTDNNModDev_src
- Creating a DNN Module and Understanding DNN Architectural Approach
PTShop.Beta1
- DotNetNuke商店模組,安裝後於DNN平台上可線上產生電子商店,提供商品與購買等機制-DotNetNuke shop module
ArtisteerFish
- DNN 5 TREE VIEW MENU
MemberList
- DNN会员管理系统 DNN会员管理系统 DNN会员管理系统-Member DNN DNN membership management system management system management system for DNN DNN Member Member Member Management System Management System DNN
dnn-skin-document
- DNN皮肤制作相关说明文档 DNN 皮肤制作指南-DNN skin make relevant documentation
DotNetNuke040803Source
- DotNetNuke04.08.03免安装版项目源码 Dotnetnuke(简称DNN)是一个免费、开源、可扩展、几近完美的内容管理系统，可广泛应用于商务网站、企业内网(Intranet)和外网网站、在线内容发布网站，是建立在微软ASP.NET平台之上的一套WEB应用框架，是微软第一次向开源说"Yes"的里程碑，是门户网站的未来。-DotNetNuke04.08.03 free installation project Dotnetnuke version source code (h
Fp_BaiDuMap
- DNN百度地图源码,默认修改初始位置点，请编译后使用-DNN BaiDu map source code
Resources
- .net programming via dnn madule
minimize
- DNN训练用于BP算法的参数更新，在finetuning 的过程中使用-DNN training parameters for updating BP algorithm used in the process of finetuning
Neural-Networks-ppt
- 神经网络课件算法，PPT，DNN深度学习-Neural network algorithm courseware, PPT, DNN depth study
tiny-dnn-master
- C++实现dnn，可以进行训练和测试，适合初学者(The dnn is developed by c++, it includes the forward and backward process, you can use it for training.)
mnist
- 基本的dnn，准确率有百分之93左右，有注释(Basic DNN, the accuracy rate is ninety-three percent)
mnist_dropout
- 带drop out 的mnist 的dnn ，准确率百分之90(The DNN of MNIST with drop out has an accuracy rate of ninety percent)
mnist1
- 改进的dnn，准确率达到了百分之95，有注释(Improved DNN, the accuracy rate reached ninety-five percent)
14
- 基于tiny-dnn的数字图片，凑和能用 大家使用一下 啊(picture Based on tiny-dnn digital pictures, we can use it with everyone.)
DNN
- 基于动态神经网络的时间序列预测模型，可以进行时间序列预测(A time series prediction model based on dynamic neural network can predict time series.)