<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>CNN on PlumePHP</title><link>https://plumephp.com/tags/cnn/</link><description>Recent content in CNN on PlumePHP</description><generator>Hugo</generator><language>zh-CN</language><lastBuildDate>Thu, 13 Aug 2026 11:05:00 +0800</lastBuildDate><atom:link href="https://plumephp.com/tags/cnn/index.xml" rel="self" type="application/rss+xml"/><item><title>05. 卷积神经网络 CNN</title><link>https://plumephp.com/ai-deep-learning-cnn/</link><pubDate>Thu, 13 Aug 2026 11:05:00 +0800</pubDate><guid>https://plumephp.com/ai-deep-learning-cnn/</guid><description>&lt;p&gt;卷积神经网络 (CNN) 是计算机视觉领域的核心架构，通过局部连接和权重共享高效提取图像特征。本文从卷积操作出发，梳理经典网络演进，覆盖目标检测基础与迁移学习。&lt;/p&gt;</description></item></channel></rss>