<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Vjp on HJJJ的个人小站</title><link>https://hjjj.top/tags/vjp/</link><description>Recent content in Vjp on HJJJ的个人小站</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 01 Aug 2026 00:00:00 +0800</lastBuildDate><atom:link href="https://hjjj.top/tags/vjp/index.xml" rel="self" type="application/rss+xml"/><item><title>线性代数进阶：矩阵微积分如何服务反向传播</title><link>https://hjjj.top/posts/computer-science/linear-algebra/matrix-calculus-for-backprop/</link><pubDate>Sat, 01 Aug 2026 00:00:00 +0800</pubDate><guid>https://hjjj.top/posts/computer-science/linear-algebra/matrix-calculus-for-backprop/</guid><description>不重复基础线性代数，只解释 Jacobian、向量-Jacobian 乘积和深度网络中的链式法则</description></item></channel></rss>