<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[cdxSunny的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/cdxSunny</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; cdxSunny]]></copyright><item><title><![CDATA[机器学习——简介]]></title><link>https://blog.youkuaiyun.com/cdxSunny/article/details/130010367</link><guid>https://blog.youkuaiyun.com/cdxSunny/article/details/130010367</guid><author>cdxSunny</author><pubDate>Fri, 07 Apr 2023 14:14:06 +0800</pubDate><description><![CDATA[1. 将问题表述成机器学习问题。2. 数据的收集与处理。3. 用数据来训练和调整模型。4. 部署模型。5. 根据部署的模型来收集新的数据后回到第2步继续训练模型。]]></description><category></category></item><item><title><![CDATA[地心的PyTorch学习（四）]]></title><link>https://blog.youkuaiyun.com/cdxSunny/article/details/128053775</link><guid>https://blog.youkuaiyun.com/cdxSunny/article/details/128053775</guid><author>cdxSunny</author><pubDate>Sat, 26 Nov 2022 19:32:35 +0800</pubDate><description><![CDATA[构建神经网络，用前馈神经网络实现手写数字MINIST的识别。]]></description><category></category></item><item><title><![CDATA[机器学习——K-NN算法]]></title><link>https://blog.youkuaiyun.com/cdxSunny/article/details/128043809</link><guid>https://blog.youkuaiyun.com/cdxSunny/article/details/128043809</guid><author>cdxSunny</author><pubDate>Fri, 25 Nov 2022 21:33:51 +0800</pubDate><description><![CDATA[K-NN算法的原理以及python实现]]></description><category></category></item><item><title><![CDATA[地心的PyTorch学习（三）]]></title><link>https://blog.youkuaiyun.com/cdxSunny/article/details/127929220</link><guid>https://blog.youkuaiyun.com/cdxSunny/article/details/127929220</guid><author>cdxSunny</author><pubDate>Fri, 18 Nov 2022 22:26:36 +0800</pubDate><description><![CDATA[梯度下降]]></description><category></category></item><item><title><![CDATA[地心的PyTorch学习（二）]]></title><link>https://blog.youkuaiyun.com/cdxSunny/article/details/127912269</link><guid>https://blog.youkuaiyun.com/cdxSunny/article/details/127912269</guid><author>cdxSunny</author><pubDate>Thu, 17 Nov 2022 22:28:49 +0800</pubDate><description><![CDATA[pytorch数据操作]]></description><category></category></item><item><title><![CDATA[地心的PyTorch学习（一）]]></title><link>https://blog.youkuaiyun.com/cdxSunny/article/details/127909103</link><guid>https://blog.youkuaiyun.com/cdxSunny/article/details/127909103</guid><author>cdxSunny</author><pubDate>Thu, 17 Nov 2022 21:05:53 +0800</pubDate><description><![CDATA[Pytorch入门的数据基础操作。]]></description><category></category></item><item><title><![CDATA[C#的文件写入]]></title><link>https://blog.youkuaiyun.com/cdxSunny/article/details/120843717</link><guid>https://blog.youkuaiyun.com/cdxSunny/article/details/120843717</guid><author>cdxSunny</author><pubDate>Tue, 19 Oct 2021 16:25:55 +0800</pubDate><description><![CDATA[关于C#如何写入文件，我将在下总结4种方法。

1.每一次输入都会覆盖原文本

用到WriteAllText()

代码如下：


using System;


class Program
{
     static void Main(string[] args)
     {
          char[] c = { '3', '5', '7' };

          for (int i = 0; i &lt; 3; i++) {
              String s = c[...]]></description><category></category></item></channel></rss>