<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[qq_51316618的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/qq_51316618</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; qq_51316618]]></copyright><item><title><![CDATA[软件工程实践——软件评测作业]]></title><link>https://blog.youkuaiyun.com/qq_51316618/article/details/129979877</link><guid>https://blog.youkuaiyun.com/qq_51316618/article/details/129979877</guid><author>qq_51316618</author><pubDate>Fri, 07 Apr 2023 21:58:25 +0800</pubDate><description><![CDATA[InsCode评测]]></description><category></category></item><item><title><![CDATA[CIFAR-100数据集 卷积神经网络训练]]></title><link>https://blog.youkuaiyun.com/qq_51316618/article/details/125130808</link><guid>https://blog.youkuaiyun.com/qq_51316618/article/details/125130808</guid><author>qq_51316618</author><pubDate>Sun, 05 Jun 2022 17:25:57 +0800</pubDate><description><![CDATA[CIFAR-100数据集训练63.13%正确率]]></description><category></category></item><item><title><![CDATA[基于minist数据集复现CNN通用模型（Lenet-5 & ResNet）]]></title><link>https://blog.youkuaiyun.com/qq_51316618/article/details/124212860</link><guid>https://blog.youkuaiyun.com/qq_51316618/article/details/124212860</guid><author>qq_51316618</author><pubDate>Sat, 16 Apr 2022 18:22:18 +0800</pubDate><description><![CDATA[基于minist数据集复现CNN通用模型（Lenet-5 & ResNet）]]></description><category></category></item><item><title><![CDATA[MINIST手写数字数据集–神经网络（mini-batch）]]></title><link>https://blog.youkuaiyun.com/qq_51316618/article/details/123644829</link><guid>https://blog.youkuaiyun.com/qq_51316618/article/details/123644829</guid><author>qq_51316618</author><pubDate>Tue, 22 Mar 2022 15:23:11 +0800</pubDate><description><![CDATA[MINIST手写数字数据集–神经网络（mini-batch）]]></description><category></category></item><item><title><![CDATA[鸢尾花数据集分类--神经网络]]></title><link>https://blog.youkuaiyun.com/qq_51316618/article/details/123077533</link><guid>https://blog.youkuaiyun.com/qq_51316618/article/details/123077533</guid><author>qq_51316618</author><pubDate>Tue, 22 Feb 2022 21:14:23 +0800</pubDate><description><![CDATA[鸢尾花数据集分类–神经网络]]></description><category></category></item><item><title><![CDATA[算法与程序设计递归算法理解——汉诺塔]]></title><link>https://blog.youkuaiyun.com/qq_51316618/article/details/118031634</link><guid>https://blog.youkuaiyun.com/qq_51316618/article/details/118031634</guid><author>qq_51316618</author><pubDate>Sat, 19 Jun 2021 00:18:03 +0800</pubDate><description><![CDATA[汉诺塔问题

理解汉诺塔问题可以先从下面两点入手

根据汉诺塔移动规则，移动汉诺塔上层时可视下层为不存在
	三个柱子等价


先列出一到四层汉诺塔移动顺序寻找规律

一层汉诺塔：A-&gt;C

二层汉诺塔：A-&gt;B,A-&gt;C,B-&gt;C

三层汉诺塔；A-&gt;C,A-&gt;B,C-&gt;B,A-&gt;C,B-&gt;A,B-&gt;C,A-&gt;C

四层汉诺塔：A-&gt;B,A-&gt;C,B-&gt;C,A-&gt;B,C-&gt;A,C-&gt;B,A-&gt;B,A.]]></description><category></category></item></channel></rss>