<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>机器学习 on 2p1c&#39;s blog</title>
    <link>https://2p1c.life/categories/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0/</link>
    <description>Recent content in 机器学习 on 2p1c&#39;s blog</description>
    <generator>Hugo</generator>
    <language>en-us</language>
    <lastBuildDate>Thu, 02 Apr 2026 20:50:00 +0800</lastBuildDate>
    <atom:link href="https://2p1c.life/categories/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>卷积神经网络(CNN)核心概念深度解析</title>
      <link>https://2p1c.life/posts/cnn-core-concepts-analysis/</link>
      <pubDate>Thu, 02 Apr 2026 20:50:00 +0800</pubDate>
      <guid>https://2p1c.life/posts/cnn-core-concepts-analysis/</guid>
      <description>深入理解CNN的核心概念：卷积核、参数共享、层级化特征提取过程，揭示为什么越高层的特征越抽象的本质原理。</description>
    </item>
    <item>
      <title>YOLO模型演进：YOLOv12 vs YOLO26 技术对比分析</title>
      <link>https://2p1c.life/posts/yolo-v12-vs-yolo26-comparison/</link>
      <pubDate>Thu, 02 Apr 2026 20:40:00 +0800</pubDate>
      <guid>https://2p1c.life/posts/yolo-v12-vs-yolo26-comparison/</guid>
      <description>深入分析YOLO系列最新发展：YOLOv12的精度提升与YOLO26的速度优化，以及在不同场景下的选择策略。</description>
    </item>
  </channel>
</rss>
