<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hasukie</title><link>https://hasukie-blog.pages.dev/</link><description>Recent content on Hasukie</description><generator>Hugo -- gohugo.io</generator><language>zh-cn</language><copyright>© 2026 Hasukie</copyright><lastBuildDate>Sat, 18 Jul 2026 10:00:00 +0800</lastBuildDate><atom:link href="https://hasukie-blog.pages.dev/index.xml" rel="self" type="application/rss+xml"/><item><title>机器学习入门：线性回归与梯度下降</title><link>https://hasukie-blog.pages.dev/posts/hello-machine-learning/</link><pubDate>Sat, 18 Jul 2026 10:00:00 +0800</pubDate><guid>https://hasukie-blog.pages.dev/posts/hello-machine-learning/</guid><description>从均方误差到梯度下降更新规则，配 PyTorch 自动求导示例。</description></item></channel></rss>