<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>BatchNorm on Text Matrix</title><link>https://txtmix.com/tags/batchnorm/</link><description>Recent content in BatchNorm on Text Matrix</description><generator>Hugo</generator><language>zh-cn</language><lastBuildDate>Tue, 21 Jul 2026 20:06:14 +0800</lastBuildDate><atom:link href="https://txtmix.com/tags/batchnorm/index.xml" rel="self" type="application/rss+xml"/><item><title>从零手写神经网络：Karpathy 的 nn-zero-to-hero 到底在教什么</title><link>https://txtmix.com/posts/tech/karpathy-nn-zero-to-hero-neural-networks-course/</link><pubDate>Tue, 02 Jun 2026 12:00:00 +0800</pubDate><guid>https://txtmix.com/posts/tech/karpathy-nn-zero-to-hero-neural-networks-course/</guid><description>&lt;p>Andrej Karpathy 的 &lt;a href="https://github.com/karpathy/nn-zero-to-hero" target="_blank" rel="noopener noreffer ">Neural Networks: Zero to Hero&lt;/a>（22,500+ Stars，MIT 许可证）把 PyTorch 的高级 API 扔到一边，让你从 &lt;code>numpy&lt;/code> 数组和 Python 原始运算开始，一行一行地把神经网络里真正在发生的事写出来。它不教你调参——它逼你搞清楚 &lt;code>loss.backward()&lt;/code> 到底做了什么。&lt;/p></description></item></channel></rss>