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<time datetime=2026-03-22>2026-03-22</time>
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<span>· 7 min</span></div><h2 class=all-card-title>线性代数几何直观及其深度学习应用</h2><p class=all-card-summary>把特征值、奇异值、伪逆、行列式、迹放到同一条几何主线上,用浏览器内的 JSXGraph 交互动画重新理解矩阵。</p><div class=all-card-tags><span>#Linear Algebra</span><span>#Deep Learning</span><span>#JSXGraph</span></div></a></article><article class=all-card><a class=all-card-link href=/notes/probabilistic-machine-learn-advanced-topics-summary/><div class=all-meta><span class=all-section>Notes</span>
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<time datetime=2026-03-20>2026-03-20</time>
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<span>· 88 min</span></div><h2 class=all-card-title>Probabilistic Machine Learn Advanced Topics Summary</h2><p class=all-card-summary>Anki 卡片
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《Probabilistic Machine Learning: Advanced Topics》第1章“Introduction”详细讲解 1. 引言:从“曲线拟合”到“世界理解” 本章作为全书的开篇,旨在说明传统机器学习(尤其是深度学习)的局限性,并勾勒出本 …</p><div class=all-card-tags><span>#Book Summary</span><span>#Machine Learning</span></div></a></article><article class=all-card><a class=all-card-link href=/notes/deep-learning-goodfellow/><div class=all-meta><span class=all-section>Notes</span>

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</a><a href=/index.xml target=_blank rel="noopener noreferrer me" title=Rss><svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><path d="M4 11a9 9 0 019 9"/><path d="M4 4a16 16 0 0116 16"/><circle cx="5" cy="19" r="1"/></svg></a></div></div></div><div class=home-hero-panel><div class=home-hero-card><p class=home-card-label>最新文章</p><div class=home-latest><article class=home-card><a class=home-card-link href=/2026/03/22/matrix-geometry-from-unit-circle-to-deep-learning/><div class=home-card-meta><time datetime=2026-03-22>2026-03-22</time>
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<span>· 7 min</span></div><h3 class=home-card-title>线性代数几何直观及其深度学习应用</h3><p class=home-card-summary>把特征值、奇异值、伪逆、行列式、迹放到同一条几何主线上,用浏览器内的 JSXGraph 交互动画重新理解矩阵。</p><div class=home-card-tags><span>#Linear Algebra</span><span>#Deep Learning</span><span>#JSXGraph</span></div></a></article><article class=home-card><a class=home-card-link href=/notes/probabilistic-machine-learn-advanced-topics-summary/><div class=home-card-meta><time datetime=2026-03-20>2026-03-20</time>
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<span>· 88 min</span></div><h3 class=home-card-title>Probabilistic Machine Learn Advanced Topics Summary</h3><p class=home-card-summary>Anki 卡片
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《Probabilistic Machine Learning: Advanced Topics》第1章“Introduction”详细讲解 1. 引言:从“曲线 …</p><div class=home-card-tags><span>#Book Summary</span><span>#Machine Learning</span></div></a></article><article class=home-card><a class=home-card-link href=/notes/deep-learning-goodfellow/><div class=home-card-meta><time datetime=2026-03-16>2026-03-16</time>
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<span>· 48 min</span></div><h3 class=home-card-title>《Deep Learning》Summary</h3><p class=home-card-summary>Anki 卡片
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《深度学习》(Ian Goodfellow 著)第1章“引言”详细讲解 1. 本章概述与定位 第1章“引言”是全书的开篇,旨在为读者建立对“深度学习”这一领域的宏 …</p><div class=home-card-tags><span>#Book Summary</span><span>#Machine Learning</span></div></a></article><article class=home-card><a class=home-card-link href=/notes/sutton-rl-v2-summary/><div class=home-card-meta><time datetime=2026-03-13>2026-03-13</time>
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<span>· 31 min</span></div><h3 class=home-card-title>《Reinforcement Learning An Introduction》Summary</h3><p class=home-card-summary>Anki 卡片
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第一章:强化学习问题(The Reinforcement Learning Problem)详细讲解 1. 引言:从交互中学习 强化学习的核心思想源于我们日常生活 …</p><div class=home-card-tags><span>#Book Summary</span><span>#Reinforcement Learning</span></div></a></article></div><a class=home-more href=/all/>查看更多 →</a></div></div></div></section></div></main><footer class=footer><span>&copy; 2026 <a href=https://qinggo.github.io/>QingGo的碎碎念</a></span> ·
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《深度学习》(Ian Goodfellow 著)第1章“引言”详细讲解 1. 本章概述与定位 第1章“引言”是全书的开篇,旨在为读者建立对“深度学习”这一领域的宏 …</p><div class=home-card-tags><span>#Book Summary</span><span>#Machine Learning</span></div></a></article></div><a class=home-more href=/all/>查看更多 →</a></div></div></div></section></div></main><footer class=footer><span>&copy; 2026 <a href=https://qinggo.github.io/>QingGo的碎碎念</a></span> ·
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