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<rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:media="http://search.yahoo.com/mrss/" version="2.0"><channel><title>分类：机器学习 - MedeMede</title><link>https://x.medemede.cn/categories/Machine%20learning</link><atom:link href="https://x.medemede.cn/categories/Machine%2520learning/feed/categories/Machine%2520learning.xml" rel="self" type="application/rss+xml"/><description>MedeMede</description><generator>Halo v2.24.2</generator><language>zh-cn</language><image><url>https://i.loli.net/2020/11/12/o6rsqgEJ78KtdhI.jpg</url><title>分类：机器学习 - MedeMede</title><link>https://x.medemede.cn/categories/Machine%20learning</link></image><lastBuildDate>Wed, 20 May 2026 21:38:21 GMT</lastBuildDate><item><title><![CDATA[iLocation based boolean indexing on an integer type is not available]]></title><link>https://x.medemede.cn/archives/ilocationbasedbooleanindexingonanintegertypeisnotavailable</link><description><![CDATA[<img src="https://x.medemede.cn/plugins/feed/assets/telemetry.gif?title=iLocation%20based%20boolean%20indexing%20on%20an%20integer%20type%20is%20not%20available&amp;url=/archives/ilocationbasedbooleanindexingonanintegertypeisnotavailable" width="1" height="1" alt="" style="opacity:0;">]]></description><guid isPermaLink="false">/archives/ilocationbasedbooleanindexingonanintegertypeisnotavailable</guid><dc:creator>Saber</dc:creator><category>机器学习</category><category>踩坑</category><pubDate>Thu, 31 Oct 2019 01:52:53 GMT</pubDate></item><item><title><![CDATA[Win10下使用Visual Studio2019编译Darknet]]></title><link>https://x.medemede.cn/archives/win10%E4%B8%8B%E4%BD%BF%E7%94%A8visualstudio2019%E7%BC%96%E8%AF%91darknet</link><description><![CDATA[<img src="https://x.medemede.cn/plugins/feed/assets/telemetry.gif?title=Win10%E4%B8%8B%E4%BD%BF%E7%94%A8Visual%20Studio2019%E7%BC%96%E8%AF%91Darknet&amp;url=/archives/win10%E4%B8%8B%E4%BD%BF%E7%94%A8visualstudio2019%E7%BC%96%E8%AF%91darknet" width="1" height="1" alt="" style="opacity:0;">文件准备下载源码，注意一定要下载master分支：darknet-windows-linux下载opencv3.4.0：OpenCV3.4.0下载pthreadVC2.lib：pthreadVC2.libx64下载pthreadVC2.dll：pthreadVC2.dllx64编译darknet-n]]></description><guid isPermaLink="false">/archives/win10%E4%B8%8B%E4%BD%BF%E7%94%A8visualstudio2019%E7%BC%96%E8%AF%91darknet</guid><dc:creator>Saber</dc:creator><category>机器学习</category><category>Windows</category><pubDate>Fri, 13 Sep 2019 11:18:06 GMT</pubDate></item><item><title><![CDATA[Ubuntu安装YOLOv3 darknet with cuda、cudnn、opencv]]></title><link>https://x.medemede.cn/archives/ubuntu%E5%AE%89%E8%A3%85yolov3darknetwithcudacudnnopencv</link><description><![CDATA[<img src="https://x.medemede.cn/plugins/feed/assets/telemetry.gif?title=Ubuntu%E5%AE%89%E8%A3%85YOLOv3%20darknet%20with%20cuda%E3%80%81cudnn%E3%80%81opencv&amp;url=/archives/ubuntu%E5%AE%89%E8%A3%85yolov3darknetwithcudacudnnopencv" width="1" height="1" alt="" style="opacity:0;">YOLOv3官网：https://pjreddie.com/darknet/yolo/平台：Ubuntu19.04，RTX2060安装cuda、cudnn直接通过apt安装:sudoaptinstallnvidia-cuda-toolkit注意：Anaconda安装的cuda在编译时检测不到，所以需]]></description><guid isPermaLink="false">/archives/ubuntu%E5%AE%89%E8%A3%85yolov3darknetwithcudacudnnopencv</guid><dc:creator>Saber</dc:creator><category>机器学习</category><category>Linux</category><pubDate>Tue, 3 Sep 2019 07:59:18 GMT</pubDate></item><item><title><![CDATA[我对于特征缩放中的归一化、标准化的一点理解]]></title><link>https://x.medemede.cn/archives/%E6%88%91%E5%AF%B9%E4%BA%8E%E7%89%B9%E5%BE%81%E7%BC%A9%E6%94%BE%E4%B8%AD%E7%9A%84%E5%BD%92%E4%B8%80%E5%8C%96%E6%A0%87%E5%87%86%E5%8C%96%E7%9A%84%E4%B8%80%E7%82%B9%E7%90%86%E8%A7%A3</link><description><![CDATA[<img src="https://x.medemede.cn/plugins/feed/assets/telemetry.gif?title=%E6%88%91%E5%AF%B9%E4%BA%8E%E7%89%B9%E5%BE%81%E7%BC%A9%E6%94%BE%E4%B8%AD%E7%9A%84%E5%BD%92%E4%B8%80%E5%8C%96%E3%80%81%E6%A0%87%E5%87%86%E5%8C%96%E7%9A%84%E4%B8%80%E7%82%B9%E7%90%86%E8%A7%A3&amp;url=/archives/%E6%88%91%E5%AF%B9%E4%BA%8E%E7%89%B9%E5%BE%81%E7%BC%A9%E6%94%BE%E4%B8%AD%E7%9A%84%E5%BD%92%E4%B8%80%E5%8C%96%E6%A0%87%E5%87%86%E5%8C%96%E7%9A%84%E4%B8%80%E7%82%B9%E7%90%86%E8%A7%A3" width="1" height="1" alt="" style="opacity:0;">参考链接：标准化和归一化什么区别？- 在学习ML或者查找论文、资料的时候经常]]></description><guid isPermaLink="false">/archives/%E6%88%91%E5%AF%B9%E4%BA%8E%E7%89%B9%E5%BE%81%E7%BC%A9%E6%94%BE%E4%B8%AD%E7%9A%84%E5%BD%92%E4%B8%80%E5%8C%96%E6%A0%87%E5%87%86%E5%8C%96%E7%9A%84%E4%B8%80%E7%82%B9%E7%90%86%E8%A7%A3</guid><dc:creator>Saber</dc:creator><category>机器学习</category><pubDate>Wed, 21 Aug 2019 12:50:10 GMT</pubDate></item><item><title><![CDATA[Matlab计算相关系数并分组生成图片]]></title><link>https://x.medemede.cn/archives/matlab%E8%AE%A1%E7%AE%97%E7%9B%B8%E5%85%B3%E7%B3%BB%E6%95%B0%E5%B9%B6%E5%88%86%E7%BB%84%E7%94%9F%E6%88%90%E5%9B%BE%E7%89%87</link><description><![CDATA[<img src="https://x.medemede.cn/plugins/feed/assets/telemetry.gif?title=Matlab%E8%AE%A1%E7%AE%97%E7%9B%B8%E5%85%B3%E7%B3%BB%E6%95%B0%E5%B9%B6%E5%88%86%E7%BB%84%E7%94%9F%E6%88%90%E5%9B%BE%E7%89%87&amp;url=/archives/matlab%E8%AE%A1%E7%AE%97%E7%9B%B8%E5%85%B3%E7%B3%BB%E6%95%B0%E5%B9%B6%E5%88%86%E7%BB%84%E7%94%9F%E6%88%90%E5%9B%BE%E7%89%87" width="1" height="1" alt="" style="opacity:0;">本次任务要实现的功能是：1、计算相关系数2、生成相关系数的折线图3、将相关系数分组输出到一张图中，并自动保存到磁盘。原始数据原始数据保存在Excel表中原始数据为30*62，第一列为样本编号，第一行为特征名称，其余全部为浮点数，且无空值计算相关系数相关系数的计算并不难，直接用Matlab的corrc]]></description><guid 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