搜索资源列表
vinson_zeng_DCNF
- DCNF 采用RSOMC(Remote Service Object Method Call)远程服务对象方法调用机制,分层结构实现. 1.网络通信适配层 2.服务对象管理层 3.应用业务层(For Delphi VCL 组件) 容易学习,灵活的扩展机制.兼容原有的应用开发环境(譬如:VCL DB 控件), 利于旧系统迁移(大部分成熟的应用软件都是C/S结构,其业务功能非常完善, 为了能在互联网上直接使用,技术解决方案大部分为VPN,远程桌面等, 采用第三
06302
- 压缩包里还有多个文件,实现数据库迁移(从excel到oracle),这也是学校课程设计中的,作为一个学习资料吧。-There are multiple files compressed bag, database migration (from excel to oracle), this is the design of the school curriculum, learning materials, as a bar.
DCSP
- 安装主域控与辅助域控的视频。是MCITP课程视频,方面大家学习,除此之外本人还有组策略配置、2008活动目录迁移、配置信任关系等MCITP课程视频-Install the primary domain controller and assistant controller of the video domain. MCITP course is video, we are all in learning, in addition I have Group Policy configuration
PMA-Matlab
- 人口迁移算法,此程序实现人口迁移算法,用于求解无约束连续函数最小化问题,仅供学习参考。-Migration algorithm, this process of population migration algorithm for solving unconstrained continuous function minimization problem, study reference purposes only.
flyfox-jmoney-master
- 这是一个java开发的金钱管理软件,本着帮助新人以及为学习新技术的态度。 JFinal-Money采用了简洁强大的JFinal作为web框架 模板引擎用:Beetl(从JSP迁移到Beetl) 数据库:sqlite3,mysql和postgre 前端框架:bootstrap3,移动端Jquery Mobile -this is a money management system using jfinal framework.
Reinforcement--Transfer-Learning
- 采用迁移的方法来处理强化学习中策略空间的搜索问题-Migration method is adopted to deal with reinforcement learning strategy in the space of the search problem
LBM_CPP
- 用C++编写的格子Boltzmann的算法程序,用于模拟流体在二维通道内的流动,用户可以自定义通道尺寸,通过此程序,用户可以深入学习格子Boltzmann算法,包括碰撞、迁移过程,边界处理以及输入输出文件的设置等。-This is a C++ programme of Lattice Boltzmann model for fluid flow in a 2D channel. The user can define the size of channel. Through this code,
LightNet-master
- 目前最轻量级别的深度学习源码,采用CNN实现高精度识别,与目前流行的Caffe相比,具有实现灵活,可迁移程度高等优势,值得深入学习!-Currently the lightest level of deep learning source, using CNN to achieve high-precision identification, compared with the current popular Caffe, with the realization of flexible, hi
GreendaoLearn
- 一款入门级的greendao学习教程,包括数据库的升级数据迁移等(An entry level greendao learning tutorial, including database upgrading, data migration, etc.)
fenlei
- 利用深度学习进行遥感图像场景分类 这里我们对NWPU-RESISC45数据集的场景图像进行分类 我们将卷积神经网络应用于图像分类。我们从头开始训练数据集。此外,还应用了预先训练的VGG16 abd ResNet50进行迁移学习。(Scene Classification of Remote Sensing Images Using Deep Learning Here we classify scene images from NWPU-RESISC45 dataset We apply
D_coral
- deep coral loss在迁移学习中的领域自适应loss函数(deep coral loss in domain adaptation)
Tradaboost Code
- 迁移学习,算法、些MPI并行的理论,等等的,我的代码里面有处理数据代码,有训练,有测试代码,包括调的一些框架,都可以用,只要能写的通的都可以(Migration learning, algorithms, some MPI parallel theory, and so on. My code contains data processing code, training, testing code, including some frameworks of tuning, which can
VGG
- VGG16分类网络,可以用于分类问题,采用了迁移学习(VGG16 classification net)
Transfer-master
- 一个实现迁移学习的小程序,例子还是很有用的。。。。。。。。。。。。。。。。。。。。。。。。。。。(A small program to achieve transfer learning, examples are still very useful...........................................)
DGA-DA
- DGA_DA算法实现,几个方法都实现了,。。。。(DGA_DA,it's all achieved by myself, please,let it go)
时间卷积神经网络
- 程序为时间卷积神经网络的python程序,可捕获锂离子电池退化过程中的容量增生问题,迁移学习能力不强。