<?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>几何深度学习 on s-ai-unix's Blog</title><link>https://s-ai-unix.github.io/tags/%E5%87%A0%E4%BD%95%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/</link><description>Recent content in 几何深度学习 on s-ai-unix's Blog</description><generator>Hugo -- 0.161.1</generator><language>zh-cn</language><lastBuildDate>Wed, 28 Jan 2026 23:54:26 +0800</lastBuildDate><atom:link href="https://s-ai-unix.github.io/tags/%E5%87%A0%E4%BD%95%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/index.xml" rel="self" type="application/rss+xml"/><item><title>微分几何与深度学习：从流形假设到几何深度学习</title><link>https://s-ai-unix.github.io/posts/2026-01-28-differential-geometry-deep-learning/</link><pubDate>Wed, 28 Jan 2026 23:54:26 +0800</pubDate><guid>https://s-ai-unix.github.io/posts/2026-01-28-differential-geometry-deep-learning/</guid><description>系统综述微分几何在深度学习中的核心应用：从数据流形假设到几何深度学习，深入浅出揭示数学与人工智能的深层联系</description></item></channel></rss>