sync(latex): 从 Word 同步第二章和附录内容
- ch02: 第5节重写为"环境-智能体框架",新增表2.1/2.2和图2.1 - ch01: 补充 Garrity 引用来源 - 全部附录(ap01-ap09)从 Word 重新转换,修复 \sub 等转换错误 - 新增 ch13 结语占位、上下篇分隔页 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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\chapter{附录5:在线学习资源}
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\chapter{在线学习资源}
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本附录整理AI学习过程中常用的在线课程、技术博客与文档、以及公开数据集。
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\subsection{推荐课程}
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\section{推荐课程}
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{\def\LTcaptype{none} % do not increment counter
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\begin{longtable}[]{@{}
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>{\raggedright\arraybackslash}p{(\linewidth - 4\tabcolsep) * \real{0.2921}}
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>{\raggedright\arraybackslash}p{(\linewidth - 4\tabcolsep) * \real{0.1101}}
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>{\raggedright\arraybackslash}p{(\linewidth - 4\tabcolsep) * \real{0.2141}}@{}}
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>{\raggedright\arraybackslash}p{(\linewidth - 4\tabcolsep) * \real{0.2182}}
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>{\raggedright\arraybackslash}p{(\linewidth - 4\tabcolsep) * \real{0.1000}}
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>{\raggedright\arraybackslash}p{(\linewidth - 4\tabcolsep) * \real{0.6636}}@{}}
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\toprule\noalign{}
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\begin{minipage}[b]{\linewidth}\raggedright
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名称
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\endhead
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\bottomrule\noalign{}
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\endlastfoot
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CS231n:计算机视觉 & Stanford & \href{http://cs231n.stanford.edu/}{cs231n.stanford.edu} \\
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Fast.ai:实用深度学习 & fast.ai & \href{https://course.fast.ai/}{course.fast.ai} \\
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吴恩达深度学习专项课 & Coursera & \href{https://www.coursera.org/specializations/deep-learning}{coursera.org} \\
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CS224n:NLP与深度学习 & Stanford & \href{https://web.stanford.edu/class/cs224n/}{web.stanford.edu} \\
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李宏毅机器学习 & YouTube & \href{https://www.youtube.com/c/HungyiLeeNTU}{youtube.com} \\
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CS231n:计算机视觉 & Stanford &
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\href{http://cs231n.stanford.edu/}{cs231n.stanford.edu} \\
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Fast.ai:实用深度学习 & fast.ai &
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\href{https://course.fast.ai/}{course.fast.ai} \\
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吴恩达深度学习专项课 & Coursera &
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\href{https://www.coursera.org/specializations/deep-learning}{coursera.org} \\
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CS224n:NLP与深度学习 & Stanford &
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\href{https://web.stanford.edu/class/cs224n/}{web.stanford.edu} \\
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李宏毅机器学习 & YouTube &
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\href{https://www.youtube.com/c/HungyiLeeNTU}{youtube.com} \\
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\end{longtable}
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}
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\subsection{博客与文档}
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\section{博客与文档}
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\begin{itemize}
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\item
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\href{https://lilianweng.github.io/}{Lil'Log} - AI深度技术文章
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\item
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\href{https://jalammar.github.io/illustrated-transformer/}{The Illustrated Transformer} - 可视化原理解析
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\href{https://jalammar.github.io/illustrated-transformer/}{The
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Illustrated Transformer} - 可视化原理解析
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\item
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\href{https://distill.pub/}{Distill.pub} - 交互式可视化论文
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\item
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\href{https://python.langchain.com/}{LangChain文档}
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\end{itemize}
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\subsection{数据集}
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\section{数据集}
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\begin{longtable}[]{@{}
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>{\raggedright\arraybackslash}p{(\linewidth - 4\tabcolsep) * \real{0.1735}}
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>{\raggedright\arraybackslash}p{(\linewidth - 4\tabcolsep) * \real{0.1185}}
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>{\raggedright\arraybackslash}p{(\linewidth - 4\tabcolsep) * \real{0.1987}}@{}}
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>{\raggedright\arraybackslash}p{(\linewidth - 4\tabcolsep) * \real{0.1928}}
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>{\raggedright\arraybackslash}p{(\linewidth - 4\tabcolsep) * \real{0.1325}}
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>{\raggedright\arraybackslash}p{(\linewidth - 4\tabcolsep) * \real{0.6506}}@{}}
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\toprule\noalign{}
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\begin{minipage}[b]{\linewidth}\raggedright
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数据集
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\endhead
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\bottomrule\noalign{}
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\endlastfoot
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ImageNet & 图像分类 & \href{https://www.image-net.org/}{image-net.org} \\
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ImageNet & 图像分类 &
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\href{https://www.image-net.org/}{image-net.org} \\
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COCO & 目标检测 & \href{https://cocodataset.org/}{cocodataset.org} \\
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MNIST & 手写数字 & \href{http://yann.lecun.com/exdb/mnist/}{yann.lecun.com} \\
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OpenStreetMap & 地图数据 & \href{https://www.openstreetmap.org/}{openstreetmap.org} \\
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MNIST & 手写数字 &
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\href{http://yann.lecun.com/exdb/mnist/}{yann.lecun.com} \\
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OpenStreetMap & 地图数据 &
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\href{https://www.openstreetmap.org/}{openstreetmap.org} \\
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\end{longtable}
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}
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