deploy: QingGo/blog_private@8fb4c70a4be606e09c0be427f537a82b4b4125e8

Author: github-actions[bot]

2020/05/10/hello-hexo/index.html

@@ -1,4 +1,4 @@
-<?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>QingGo的碎碎念</title><link>https://qinggo.github.io/</link><description>Recent content on QingGo的碎碎念</description><generator>Hugo</generator><language>zh-cn</language><lastBuildDate>Fri, 20 Mar 2026 18:57:27 +0800</lastBuildDate><atom:link href="https://qinggo.github.io/index.xml" rel="self" type="application/rss+xml"/><item><title>Probabilistic Machine Learn Advanced Topics Summary</title><link>https://qinggo.github.io/notes/probabilistic-machine-learn-advanced-topics-summary/</link><pubDate>Fri, 20 Mar 2026 11:15:01 +0800</pubDate><guid>https://qinggo.github.io/notes/probabilistic-machine-learn-advanced-topics-summary/</guid><description>&lt;p&gt;&lt;img alt="MLAPP-2-2-mindmap.png" loading="lazy" src="https://qinggo.github.io/images/MLAPP-2-2-mindmap.png"&gt;&lt;/p&gt;
+<?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>QingGo的碎碎念</title><link>https://qinggo.github.io/</link><description>Recent content on QingGo的碎碎念</description><generator>Hugo</generator><language>zh-cn</language><lastBuildDate>Fri, 20 Mar 2026 20:11:01 +0800</lastBuildDate><atom:link href="https://qinggo.github.io/index.xml" rel="self" type="application/rss+xml"/><item><title>Probabilistic Machine Learn Advanced Topics Summary</title><link>https://qinggo.github.io/notes/probabilistic-machine-learn-advanced-topics-summary/</link><pubDate>Fri, 20 Mar 2026 11:15:01 +0800</pubDate><guid>https://qinggo.github.io/notes/probabilistic-machine-learn-advanced-topics-summary/</guid><description>&lt;p&gt;&lt;img alt="MLAPP-2-2-mindmap.png" loading="lazy" src="https://qinggo.github.io/images/MLAPP-2-2-mindmap.png"&gt;&lt;/p&gt;
 &lt;p&gt;&lt;a href="https://qinggo.github.io/anki_desks/%E7%AE%97%E6%B3%95%E7%9F%A5%E8%AF%86%E7%82%B9__MLAPP2-2.apkg"&gt;Anki 卡片&lt;/a&gt;&lt;/p&gt;
 &lt;h1 id="probabilistic-machine-learning-advanced-topics第1章introduction详细讲解"&gt;《Probabilistic Machine Learning: Advanced Topics》第1章“Introduction”详细讲解&lt;/h1&gt;
 &lt;h2 id="1-引言从曲线拟合到世界理解"&gt;1. 引言：从“曲线拟合”到“世界理解”&lt;/h2&gt;
@@ -16,7 +16,7 @@
 &lt;li&gt;&lt;strong&gt;经典评价&lt;/strong&gt;：图灵奖得主 Judea Pearl 将这种范式称为 &lt;strong&gt;“glorified curve fitting”&lt;/strong&gt;（华丽的曲线拟合）——即模型只学习输入输出之间的相关性，而不理解背后的因果关系和生成过程。&lt;/li&gt;
 &lt;/ul&gt;
 &lt;blockquote&gt;
-&lt;p&gt;&lt;strong&gt;例子&lt;/strong&gt;：一个深度卷积网络可以准确识别图片中的猫和狗，但它不知道“猫为什么长这样”，也不知道如果改变光照或背景，识别结果是否会变。&lt;/p&gt;</description></item><item><title>Base64 Playground</title><link>https://qinggo.github.io/tools/base64-playground/</link><pubDate>Fri, 20 Mar 2026 00:00:00 +0800</pubDate><guid>https://qinggo.github.io/tools/base64-playground/</guid><description>一个简单直接的 Base64 编解码工具，适合处理中文、日志片段和临时 payload。</description></item><item><title>Gradient Lab</title><link>https://qinggo.github.io/tools/gradient-lab/</link><pubDate>Fri, 20 Mar 2026 00:00:00 +0800</pubDate><guid>https://qinggo.github.io/tools/gradient-lab/</guid><description>一个偏视觉向的小实验，适合快速试出页面背景、按钮或卡片的渐变方案。</description></item><item><title>JSON Formatter</title><link>https://qinggo.github.io/tools/json-formatter/</link><pubDate>Fri, 20 Mar 2026 00:00:00 +0800</pubDate><guid>https://qinggo.github.io/tools/json-formatter/</guid><description>粘贴一段 JSON，直接在浏览器里完成格式化、压缩、错误定位和复制。</description></item><item><title>《Deep Learning》Summary</title><link>https://qinggo.github.io/notes/deep-learning-goodfellow/</link><pubDate>Mon, 16 Mar 2026 10:51:34 +0800</pubDate><guid>https://qinggo.github.io/notes/deep-learning-goodfellow/</guid><description>&lt;p&gt;&lt;img alt="《Deep Learning》思维导图" loading="lazy" src="https://qinggo.github.io/images/deep-learning-goodfellow-mindmap.png"&gt;&lt;/p&gt;
+&lt;p&gt;&lt;strong&gt;例子&lt;/strong&gt;：一个深度卷积网络可以准确识别图片中的猫和狗，但它不知道“猫为什么长这样”，也不知道如果改变光照或背景，识别结果是否会变。&lt;/p&gt;</description></item><item><title>Base64 Playground</title><link>https://qinggo.github.io/tools/base64-playground/</link><pubDate>Fri, 20 Mar 2026 00:00:00 +0800</pubDate><guid>https://qinggo.github.io/tools/base64-playground/</guid><description>一个简单直接的 Base64 编解码工具，适合处理中文、日志片段和临时 payload。</description></item><item><title>Gradient Lab</title><link>https://qinggo.github.io/tools/gradient-lab/</link><pubDate>Fri, 20 Mar 2026 00:00:00 +0800</pubDate><guid>https://qinggo.github.io/tools/gradient-lab/</guid><description>一个偏视觉向的小实验，适合快速试出页面背景、按钮或卡片的渐变方案。</description></item><item><title>JSON Formatter</title><link>https://qinggo.github.io/tools/json-formatter/</link><pubDate>Fri, 20 Mar 2026 00:00:00 +0800</pubDate><guid>https://qinggo.github.io/tools/json-formatter/</guid><description>粘贴一段 JSON，直接在浏览器里完成格式化、压缩、错误定位和复制。</description></item><item><title>KFC Quiz generator</title><link>https://qinggo.github.io/tools/kfc-quiz-generator/</link><pubDate>Fri, 20 Mar 2026 00:00:00 +0800</pubDate><guid>https://qinggo.github.io/tools/kfc-quiz-generator/</guid><description>Keyspace Filtering Challenge Quiz generator。一个纯前端的小型谜题生成器：给定唯一答案和线索数量，自动搜索线索组合，保证在 A-Z0-9 无重复字符空间里只有一个解。</description></item><item><title>《Deep Learning》Summary</title><link>https://qinggo.github.io/notes/deep-learning-goodfellow/</link><pubDate>Mon, 16 Mar 2026 10:51:34 +0800</pubDate><guid>https://qinggo.github.io/notes/deep-learning-goodfellow/</guid><description>&lt;p&gt;&lt;img alt="《Deep Learning》思维导图" loading="lazy" src="https://qinggo.github.io/images/deep-learning-goodfellow-mindmap.png"&gt;&lt;/p&gt;
 &lt;p&gt;&lt;a href="https://qinggo.github.io/anki_desks/%E7%AE%97%E6%B3%95%E7%9F%A5%E8%AF%86%E7%82%B9__Deep%20Learning.apkg"&gt;Anki 卡片&lt;/a&gt;&lt;/p&gt;
 &lt;h1 id="深度学习ian-goodfellow-著第1章引言详细讲解"&gt;《深度学习》（Ian Goodfellow 著）第1章“引言”详细讲解&lt;/h1&gt;
 &lt;h2 id="1-本章概述与定位"&gt;1. 本章概述与定位&lt;/h2&gt;