<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>MLP - 标签 - 南冥鹏影</title><link>https://fupcode.com/blog/tags/mlp/</link><description>南冥鹏影</description><generator>Hugo 0.168.0 &amp; FixIt v1.0.0-beta.4</generator><language>zh-CN</language><lastBuildDate>Fri, 07 Nov 2025 00:34:24 +0800</lastBuildDate><atom:link href="https://fupcode.com/blog/tags/mlp/index.xml" rel="self" type="application/rss+xml"/><item><title>使用Numpy实现全连接神经网络</title><link>https://fupcode.com/blog/posts/deep-learning/mlp-manual/</link><pubDate>Fri, 07 Nov 2025 00:34:24 +0800</pubDate><guid>https://fupcode.com/blog/posts/deep-learning/mlp-manual/</guid><category domain="https://fupcode.com/blog/categories/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/">深度学习</category><description>&lt;h2 class="heading-element" id="一数据集的下载和处理"&gt;&lt;span&gt;一、数据集的下载和处理&lt;/span&gt;&#13;&#10; &lt;a href="#%e4%b8%80%e6%95%b0%e6%8d%ae%e9%9b%86%e7%9a%84%e4%b8%8b%e8%bd%bd%e5%92%8c%e5%a4%84%e7%90%86" class="heading-mark"&gt;&lt;svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"&gt;&lt;path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&#13;&#10;&lt;/h2&gt;&lt;h3 class="heading-element" id="下载数据"&gt;&lt;span&gt;下载数据&lt;/span&gt;&#13;&#10; &lt;a href="#%e4%b8%8b%e8%bd%bd%e6%95%b0%e6%8d%ae" class="heading-mark"&gt;&lt;svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"&gt;&lt;path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&#13;&#10;&lt;/h3&gt;&lt;p&gt;直接调用官方库&lt;/p&gt;</description></item></channel></rss>