<?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>Parameter-Count on Jeanphilo Blog</title><link>https://shio-chan-dev.github.io/jeanblog/zh/tags/parameter-count/</link><description>Recent content in Parameter-Count on Jeanphilo Blog</description><generator>Hugo -- 0.159.2</generator><language>zh-cn</language><lastBuildDate>Sat, 24 Jan 2026 16:28:40 +0800</lastBuildDate><atom:link href="https://shio-chan-dev.github.io/jeanblog/zh/tags/parameter-count/index.xml" rel="self" type="application/rss+xml"/><item><title>CNN 参数量计算：从卷积核到整网规模</title><link>https://shio-chan-dev.github.io/jeanblog/zh/ai/vision/cnn-parameter-count/</link><pubDate>Sat, 24 Jan 2026 16:28:40 +0800</pubDate><guid>https://shio-chan-dev.github.io/jeanblog/zh/ai/vision/cnn-parameter-count/</guid><description>系统讲清 CNN 参数量计算方法与常见陷阱，并给出最小 PyTorch 示例。</description></item></channel></rss>