<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[InfinityForever的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/InfinityForever</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; InfinityForever]]></copyright><item><title><![CDATA[用OpenCV实现随机发生器与文本]]></title><link>https://blog.youkuaiyun.com/InfinityForever/article/details/50564974</link><guid>https://blog.youkuaiyun.com/InfinityForever/article/details/50564974</guid><author>InfinityForever</author><pubDate>Sat, 23 Jan 2016 01:02:49 +0800</pubDate><description><![CDATA[目标学习使用随机数发生器类(RNG)并从一个均匀分布中得到一个随机数。 
利用putText函数来展现文本代码将使用随机数作为绘画的参数，并用大量的几何图形来组成图像。既然会随机初始化，这个过程会使用loop来自动实现。 
代码在OpenCV的sample文件夹中（一般是%your_opencv_folder%\sources\samples\cpp\tutorial_code\core\Matri]]></description><category></category></item><item><title><![CDATA[ROS7—理解ROS服务和参数]]></title><link>https://blog.youkuaiyun.com/InfinityForever/article/details/50494782</link><guid>https://blog.youkuaiyun.com/InfinityForever/article/details/50494782</guid><author>InfinityForever</author><pubDate>Mon, 11 Jan 2016 02:38:39 +0800</pubDate><description><![CDATA[这篇教程介绍ROS服务，参数以及使用rosservice和rosparam命令行工具。假设前面的turtlesim节点还在运行。1.ROS服务服务（Services）是另一种节点间相互通信的方法。服务允许节点发送请求（request）并接收回应（response）。2.使用rosservicerosservice能简单地将服务添加到ROS的客户/服务框架中，它有很多命令能在话题中使用，如下所示：ro]]></description><category></category></item><item><title><![CDATA[ROS6—理解话题]]></title><link>https://blog.youkuaiyun.com/InfinityForever/article/details/50493080</link><guid>https://blog.youkuaiyun.com/InfinityForever/article/details/50493080</guid><author>InfinityForever</author><pubDate>Sun, 10 Jan 2016 18:19:39 +0800</pubDate><description><![CDATA[这篇教程介绍ROS主题与使用rostopic和rqt_plot设置在新终端中运行rosrun，在另一个新终端中运行rosrun turtlesim turtlesim_node。 
我们需要驱动turtle，由键盘远程操作，在一个新终端中运行：$ rosrun turtle turtle_teleop_key
会得到类似这样的信息：[ INFO] 1254264546.878445000: Star]]></description><category></category></item><item><title><![CDATA[ROS5—理解ROS节点]]></title><link>https://blog.youkuaiyun.com/InfinityForever/article/details/50492473</link><guid>https://blog.youkuaiyun.com/InfinityForever/article/details/50492473</guid><author>InfinityForever</author><pubDate>Sun, 10 Jan 2016 15:54:01 +0800</pubDate><description><![CDATA[这篇教程会介绍ROS图概念和并讨论roscore、rosnode和rosrun命令的使用。1.预备条件这里会使用轻量级的模拟器，先安装$ sudo apt-get install ros-<distro>-ros-tutorials
将替换成你的ROS版本名称。2.图概念的快速概览
节点（nodes）：节点是一个利用ROS来与其他节点通信的可执行文件。
消息（messages）：在顶阅或推送一个主题]]></description><category></category></item><item><title><![CDATA[ROS4—建立包]]></title><link>https://blog.youkuaiyun.com/InfinityForever/article/details/50492310</link><guid>https://blog.youkuaiyun.com/InfinityForever/article/details/50492310</guid><author>InfinityForever</author><pubDate>Sun, 10 Jan 2016 15:34:24 +0800</pubDate><description><![CDATA[1.建立一个ROS包这篇讲义包含建立包的工具链。2利用catkin_make可以将catkin_make理解为在标准CMake工作流中结合了cmake和make调用功能的命令行工具。# In a catkin workspace
$ catkin_make [make_targets] [-DCMAKE_VARIABLES=...]
CMake工作流通常是这样的# In a CMake projec]]></description><category></category></item><item><title><![CDATA[ROS3—创建包]]></title><link>https://blog.youkuaiyun.com/InfinityForever/article/details/50490386</link><guid>https://blog.youkuaiyun.com/InfinityForever/article/details/50490386</guid><author>InfinityForever</author><pubDate>Sat, 09 Jan 2016 23:19:37 +0800</pubDate><description><![CDATA[1. 创建一个ROS包利用roscreate-pkg和catkin来创建新包，用rospack来列出包的依赖。2. 一个catkin包的组成一个catkin包必须有： 
- 一个catkin顺从包package.xml提供包的元信息 
- 一个使用catkin的CMakeLists.txt 
- 在每个文件夹中只有一个包3.在catkin工作空间的包workspace_folder/]]></description><category></category></item><item><title><![CDATA[《神经网络与深度学习》讲义1—数学基础]]></title><link>https://blog.youkuaiyun.com/InfinityForever/article/details/50429172</link><guid>https://blog.youkuaiyun.com/InfinityForever/article/details/50429172</guid><author>InfinityForever</author><pubDate>Tue, 29 Dec 2015 20:29:24 +0800</pubDate><description><![CDATA[本文摘自邱锡鹏老师的《神经网络与深度学习》讲义范数矩阵的pp范数为： 
∥A∥=⎛⎝∑i=1m∑j=1n∣aij∣p⎞⎠1/p\lVert A \rVert = \left( \sum_{i=1}^m \sum_{j=1}^n \lvert a_{ij} \rvert^p\right)^{1/p}导数pp维向量x∈Rp\mathbf x \in \mathbb R^p，函数y=f(x)=f(x1,⋯]]></description><category></category></item><item><title><![CDATA[通过概率规划归纳的人类水平概念学习]]></title><link>https://blog.youkuaiyun.com/InfinityForever/article/details/50292583</link><guid>https://blog.youkuaiyun.com/InfinityForever/article/details/50292583</guid><author>InfinityForever</author><pubDate>Mon, 14 Dec 2015 11:31:56 +0800</pubDate><description><![CDATA[本文翻译自Nature上刊载的论文Human-level Concept Learning through Probabilistic Program Induction人类对新概念的学习能够从一个简单示例推广，而机器学习算法通常需要数万的样本才能达到同样的准确度。人类也能比算法更丰富地运用学到的概念——如行为，想象和解释。本文提出一种能够在一大类简单视觉概念上（字母的手写字符）具有同样能力的计算模]]></description><category></category></item><item><title><![CDATA[DLch1]]></title><link>https://blog.youkuaiyun.com/InfinityForever/article/details/50257389</link><guid>https://blog.youkuaiyun.com/InfinityForever/article/details/50257389</guid><author>InfinityForever</author><pubDate>Fri, 11 Dec 2015 02:13:50 +0800</pubDate><description><![CDATA[IntroductionProblems that are intellectually diﬃcult for human beings but relatively straight-forward for computers—problems that can be described by a list of formal, mathematical rules. 
Challenges t]]></description><category></category></item></channel></rss>