<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[WTTAa_的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/WTTAa_</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; WTTAa_]]></copyright><item><title><![CDATA[通讯录管理系统]]></title><link>https://blog.youkuaiyun.com/WTTAa_/article/details/126578126</link><guid>https://blog.youkuaiyun.com/WTTAa_/article/details/126578126</guid><author>WTTAa_</author><pubDate>Mon, 29 Aug 2022 09:16:47 +0800</pubDate><description><![CDATA[通讯录管理系统]]></description><category></category></item><item><title><![CDATA[结构体案例2]]></title><link>https://blog.youkuaiyun.com/WTTAa_/article/details/126550231</link><guid>https://blog.youkuaiyun.com/WTTAa_/article/details/126550231</guid><author>WTTAa_</author><pubDate>Fri, 26 Aug 2022 20:59:00 +0800</pubDate><description><![CDATA[结构体案例2
设计一个英雄的结构体，包括成员姓名、年龄、性别；
创建结构体数组，在数组中存放5名英雄；
通过冒泡排序算法，将数组中英雄按照年龄进行升序排列，最终打印排序后的结果]]></description><category></category></item><item><title><![CDATA[结构体中嵌套结构体]]></title><link>https://blog.youkuaiyun.com/WTTAa_/article/details/126532579</link><guid>https://blog.youkuaiyun.com/WTTAa_/article/details/126532579</guid><author>WTTAa_</author><pubDate>Thu, 25 Aug 2022 20:59:53 +0800</pubDate><description><![CDATA[结构体中嵌套结构体]]></description><category></category></item><item><title><![CDATA[结构体指针]]></title><link>https://blog.youkuaiyun.com/WTTAa_/article/details/126517764</link><guid>https://blog.youkuaiyun.com/WTTAa_/article/details/126517764</guid><author>WTTAa_</author><pubDate>Thu, 25 Aug 2022 09:25:22 +0800</pubDate><description><![CDATA[结构体指针]]></description><category></category></item><item><title><![CDATA[结构体数组]]></title><link>https://blog.youkuaiyun.com/WTTAa_/article/details/126517420</link><guid>https://blog.youkuaiyun.com/WTTAa_/article/details/126517420</guid><author>WTTAa_</author><pubDate>Thu, 25 Aug 2022 09:07:44 +0800</pubDate><description><![CDATA[结构体数组]]></description><category></category></item><item><title><![CDATA[函数的份文件编写]]></title><link>https://blog.youkuaiyun.com/WTTAa_/article/details/126458638</link><guid>https://blog.youkuaiyun.com/WTTAa_/article/details/126458638</guid><author>WTTAa_</author><pubDate>Mon, 22 Aug 2022 08:01:51 +0800</pubDate><description><![CDATA[函数的份文件编写]]></description><category></category></item><item><title><![CDATA[二维数组的四种定义方式]]></title><link>https://blog.youkuaiyun.com/WTTAa_/article/details/126413819</link><guid>https://blog.youkuaiyun.com/WTTAa_/article/details/126413819</guid><author>WTTAa_</author><pubDate>Thu, 18 Aug 2022 20:58:47 +0800</pubDate><description><![CDATA[二维数组的定义方式]]></description><category></category></item><item><title><![CDATA[冒泡排序dvd]]></title><link>https://blog.youkuaiyun.com/WTTAa_/article/details/126397930</link><guid>https://blog.youkuaiyun.com/WTTAa_/article/details/126397930</guid><author>WTTAa_</author><pubDate>Thu, 18 Aug 2022 08:05:07 +0800</pubDate><description><![CDATA[冒泡排序数组]]></description><category></category></item><item><title><![CDATA[goto语句]]></title><link>https://blog.youkuaiyun.com/WTTAa_/article/details/126377823</link><guid>https://blog.youkuaiyun.com/WTTAa_/article/details/126377823</guid><author>WTTAa_</author><pubDate>Wed, 17 Aug 2022 08:28:06 +0800</pubDate><description><![CDATA[goto语句]]></description><category></category></item><item><title><![CDATA[continue语句]]></title><link>https://blog.youkuaiyun.com/WTTAa_/article/details/126377705</link><guid>https://blog.youkuaiyun.com/WTTAa_/article/details/126377705</guid><author>WTTAa_</author><pubDate>Wed, 17 Aug 2022 08:14:15 +0800</pubDate><description><![CDATA[continue语句]]></description><category></category></item><item><title><![CDATA[九九乘法表]]></title><link>https://blog.youkuaiyun.com/WTTAa_/article/details/126358213</link><guid>https://blog.youkuaiyun.com/WTTAa_/article/details/126358213</guid><author>WTTAa_</author><pubDate>Tue, 16 Aug 2022 08:28:34 +0800</pubDate><description><![CDATA[九九乘法表]]></description><category></category></item><item><title><![CDATA[for循环]]></title><link>https://blog.youkuaiyun.com/WTTAa_/article/details/126358059</link><guid>https://blog.youkuaiyun.com/WTTAa_/article/details/126358059</guid><author>WTTAa_</author><pubDate>Tue, 16 Aug 2022 08:03:10 +0800</pubDate><description><![CDATA[for循环]]></description><category></category></item><item><title><![CDATA[寻找水仙花数]]></title><link>https://blog.youkuaiyun.com/WTTAa_/article/details/126356126</link><guid>https://blog.youkuaiyun.com/WTTAa_/article/details/126356126</guid><author>WTTAa_</author><pubDate>Mon, 15 Aug 2022 22:31:56 +0800</pubDate><description><![CDATA[寻找水仙花数]]></description><category></category></item><item><title><![CDATA[do...while循环语句]]></title><link>https://blog.youkuaiyun.com/WTTAa_/article/details/126352271</link><guid>https://blog.youkuaiyun.com/WTTAa_/article/details/126352271</guid><author>WTTAa_</author><pubDate>Mon, 15 Aug 2022 18:26:47 +0800</pubDate><description><![CDATA[do...while循环语句]]></description><category></category></item><item><title><![CDATA[三目运算符]]></title><link>https://blog.youkuaiyun.com/WTTAa_/article/details/126351860</link><guid>https://blog.youkuaiyun.com/WTTAa_/article/details/126351860</guid><author>WTTAa_</author><pubDate>Mon, 15 Aug 2022 17:59:43 +0800</pubDate><description><![CDATA[三目运算符]]></description><category></category></item><item><title><![CDATA[比较运算符]]></title><link>https://blog.youkuaiyun.com/WTTAa_/article/details/126324307</link><guid>https://blog.youkuaiyun.com/WTTAa_/article/details/126324307</guid><author>WTTAa_</author><pubDate>Sat, 13 Aug 2022 20:59:10 +0800</pubDate><description><![CDATA[比较运算符]]></description><category></category></item><item><title><![CDATA[赋值运算符]]></title><link>https://blog.youkuaiyun.com/WTTAa_/article/details/126324223</link><guid>https://blog.youkuaiyun.com/WTTAa_/article/details/126324223</guid><author>WTTAa_</author><pubDate>Sat, 13 Aug 2022 20:51:52 +0800</pubDate><description><![CDATA[赋值运算符]]></description><category></category></item><item><title><![CDATA[算数运算符]]></title><link>https://blog.youkuaiyun.com/WTTAa_/article/details/126314461</link><guid>https://blog.youkuaiyun.com/WTTAa_/article/details/126314461</guid><author>WTTAa_</author><pubDate>Sat, 13 Aug 2022 08:20:31 +0800</pubDate><description><![CDATA[算数运算符]]></description><category></category></item><item><title><![CDATA[Opencv图像的几何变换]]></title><link>https://blog.youkuaiyun.com/WTTAa_/article/details/120434419</link><guid>https://blog.youkuaiyun.com/WTTAa_/article/details/120434419</guid><author>WTTAa_</author><pubDate>Fri, 24 Sep 2021 09:51:55 +0800</pubDate><description><![CDATA[OpenCV提供了两种变换函数，cv2.warpAffine和cv2.warpPerspective，第一个是仿射变换函数，第二个是透视变换函数。第一个接收的参数是2x3的变换矩阵，第二个接收的是3x3变换矩阵。
扩展缩放
扩展缩放只是改变图像的尺寸大小。OpenCV提供的函数cv2.resize()可以实现这个功能，图像的尺寸可以自己手动设置，也可以自己指定缩放因子。
在缩放时，推荐使用cv2.INTER_AREA，在扩展时推荐使用cv2.INTER_CUBIC(慢)和cv2.INTER_LINEAR。默]]></description><category></category></item><item><title><![CDATA[2021-08-30]]></title><link>https://blog.youkuaiyun.com/WTTAa_/article/details/120004334</link><guid>https://blog.youkuaiyun.com/WTTAa_/article/details/120004334</guid><author>WTTAa_</author><pubDate>Tue, 31 Aug 2021 09:04:59 +0800</pubDate><description><![CDATA[torch.autograd
torch.autograd是自动差分引擎，可为神经网络训练提供支持。
神经网络是在某些输入数据上执行的嵌套函数集合。这些函数由权重和偏差（这两个参数）定义，这些参数存储在Pytorch张量中。
神经网络的两个内步骤：
正向传播：在正向传播中，神经网络对正确的输出进行最佳的预测。他通过其每个函数运行输入数据进行猜测。
反向传播：在反向传播中，神经网络根据猜测中的误差来调整其参数。他通过从输出向后遍历，收集有关函数参数（梯度）的误差导数，使用梯度下降来优化参数来实现。
例子
从t]]></description><category></category></item></channel></rss>