<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Artificial-Intelligence on Jianchao Li</title><link>https://www.jianchao.xyz/tags/artificial-intelligence/</link><description>Recent content in Artificial-Intelligence on Jianchao Li</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>© 2026 Jianchao Li</copyright><lastBuildDate>Sat, 13 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.jianchao.xyz/tags/artificial-intelligence/index.xml" rel="self" type="application/rss+xml"/><item><title>Understanding Backpropagation</title><link>https://www.jianchao.xyz/posts/understanding-backpropagation/</link><pubDate>Sat, 13 Jun 2026 15:31:22 +0200</pubDate><guid>https://www.jianchao.xyz/posts/understanding-backpropagation/</guid><description>I will explain how to understand and implement backpropagation, the mechanism used to train AI models, with computational graphs and intuitions.</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://www.jianchao.xyz/posts/understanding-backpropagation/featured.png"/></item></channel></rss>