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<?xml version="1.0" encoding="UTF-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/"> <channel><title>黯然's Site</title><link>https://lvista.site/</link><atom:link href="https://lvista.site/feed_rss_created.xml" rel="self" type="application/rss+xml" /><docs>https://github.com/Lvista/Lvista.github.io</docs><language>zh</language> <pubDate>Wed, 22 Jan 2025 02:21:31 -0000</pubDate> <lastBuildDate>Wed, 22 Jan 2025 02:21:31 -0000</lastBuildDate> <ttl>1440</ttl> <generator>MkDocs RSS plugin - v1.17.1</generator> <image> <url>None</url> <title>黯然's Site</title><link>https://lvista.site/</link> </image> <item> <title>Numpy中的广播机制</title> <description><h1>Numpy中的广播机制</h1><p>使用Numpy进行机器学习时,向量之间的运算涉及到到广播机制(Broadcast),详细的广播机制是很长的,但是可通过一个简单的例子就能窥见其一二。</p></description><link>https://lvista.site/blog/2025/01/19/np_bc/</link> <pubDate>Sun, 19 Jan 2025 13:44:41 +0000</pubDate><source url="https://lvista.site/feed_rss_created.xml">黯然's Site</source><guid isPermaLink="true">https://lvista.site/blog/2025/01/19/np_bc/</guid> </item> <item> <title>理工生不会梦见巴甫洛夫条件反射</title> <description><h1>理工生不会梦见巴甫洛夫条件反射</h1><p>Learning when not to solve a problem is one of the hardest things I've learnt.</p></description><link>https://lvista.site/blog/2025/01/16/pavlovian/</link> <pubDate>Thu, 16 Jan 2025 11:17:54 +0000</pubDate><source url="https://lvista.site/feed_rss_created.xml">黯然's Site</source><guid isPermaLink="true">https://lvista.site/blog/2025/01/16/pavlovian/</guid> </item> <item> <title>Build A Simular Site</title> <description><h1>给我也整一个!</h1><p>整一个与本站类似的网站</p></description><link>https://lvista.site/blog/2025/01/10/build_sim/</link> <pubDate>Tue, 14 Jan 2025 13:05:03 +0000</pubDate><source url="https://lvista.site/feed_rss_created.xml">黯然's Site</source><guid isPermaLink="true">https://lvista.site/blog/2025/01/10/build_sim/</guid> </item> <item> <title>自建主页:始</title> <description><h1>自建主页:始</h1><p>从萌生一个建站的想法,到成功构建一个基本框架的过程。具体做法官网给的很详细,这里只会指出一些特别的地方</p></description><link>https://lvista.site/blog/2025/01/08/site_build/</link> <pubDate>Thu, 09 Jan 2025 11:27:07 +0000</pubDate><source url="https://lvista.site/feed_rss_created.xml">黯然's Site</source><guid isPermaLink="true">https://lvista.site/blog/2025/01/08/site_build/</guid> </item> <item> <title>基于Python的视频处理</title> <description><h1>基于Python的视频处理</h1><p>一开始我是为了做一个GIF图,然后进行一个压的缩,缩到8M以下,以便发到B站动态。但是网上的在线压缩工具都不太好用,于是想到了Python,一查果然有这样的媒体处理模块:<code>moviepy</code></p></description><link>https://lvista.site/blog/2025/01/06/Vedio_processing_by_python/</link> <pubDate>Sun, 05 Jan 2025 17:15:55 +0000</pubDate><source url="https://lvista.site/feed_rss_created.xml">黯然's Site</source><guid isPermaLink="true">https://lvista.site/blog/2025/01/06/Vedio_processing_by_python/</guid> </item> </channel></rss> | ||
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