<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[qq_44729169的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/qq_44729169</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; qq_44729169]]></copyright><item><title><![CDATA[Visio 绘制不规则多边形]]></title><link>https://blog.youkuaiyun.com/qq_44729169/article/details/155391263</link><guid>https://blog.youkuaiyun.com/qq_44729169/article/details/155391263</guid><author>qq_44729169</author><pubDate>Sat, 29 Nov 2025 16:31:13 +0800</pubDate><description><![CDATA[自定义功能区- 勾选(开发工具)-选中图形 -操作-修剪。依次点击：文件- 选项-]]></description><category></category></item><item><title><![CDATA[one-hot 嵌入编码]]></title><link>https://blog.youkuaiyun.com/qq_44729169/article/details/136021353</link><guid>https://blog.youkuaiyun.com/qq_44729169/article/details/136021353</guid><author>qq_44729169</author><pubDate>Mon, 05 Feb 2024 23:01:51 +0800</pubDate><description><![CDATA[3.使用这些索引，创建一个one-hot编码矩阵，其中每个字母都表示为一个向量，该向量在对应字母的索引位置为1，其余位置为0。1.定义一个字母到索引的映射（字典），这样每个字母都会有一个唯一的索引。从文件读出来的数据格式为dataframe，要转化为tensor。2.创建一个函数，将二维矩阵中的每个字母转换为它们对应的索引。将label转为one-hot的代码。]]></description><category></category></item><item><title><![CDATA[pytorch-深度学习实践]]></title><link>https://blog.youkuaiyun.com/qq_44729169/article/details/133494084</link><guid>https://blog.youkuaiyun.com/qq_44729169/article/details/133494084</guid><author>qq_44729169</author><pubDate>Sat, 14 Oct 2023 10:50:58 +0800</pubDate><description><![CDATA[线性回归是回归问题，损失函数如下图所示。MSE:平均平方误差。]]></description><category></category></item><item><title><![CDATA[acaconda pycharm配置]]></title><link>https://blog.youkuaiyun.com/qq_44729169/article/details/132567818</link><guid>https://blog.youkuaiyun.com/qq_44729169/article/details/132567818</guid><author>qq_44729169</author><pubDate>Tue, 29 Aug 2023 19:59:58 +0800</pubDate><description><![CDATA[记事本打开上一步找到的文件，将里面的内容完全替换为如下内容即可。###anaconda配置镜像。#anaconda的配置。]]></description><category></category></item></channel></rss>