<?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>学习资源 on ✧㋛✧ Kong's Blog</title><link>https://kxqdesign.com/tags/%E5%AD%A6%E4%B9%A0%E8%B5%84%E6%BA%90/</link><description>Recent content in 学习资源 on ✧㋛✧ Kong's Blog</description><generator>Hugo -- 0.123.0</generator><language>en-us</language><lastBuildDate>Thu, 23 Jul 2026 21:27:00 +0800</lastBuildDate><atom:link href="https://kxqdesign.com/tags/%E5%AD%A6%E4%B9%A0%E8%B5%84%E6%BA%90/index.xml" rel="self" type="application/rss+xml"/><item><title>XAI可解释人工智能学习资源</title><link>https://kxqdesign.com/research/xai-learning-resources/</link><pubDate>Thu, 23 Jul 2026 21:27:00 +0800</pubDate><guid>https://kxqdesign.com/research/xai-learning-resources/</guid><description>搜索“XAI 入门”，排在最前面的往往还是 SHAP 和 LIME。但今天的可解释 AI 至少在问四个不同的问题。与其收集所有资源，不如先选定自己的问题，再挑路线。</description></item></channel></rss>