<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Grand Line</title><description>Congcong Li 的个人博客。</description><link>https://blog.lufficc.com/</link><language>zh-CN</language><item><title>Batch Norm, Layer Norm, Instance Norm, Group Norm</title><link>https://blog.lufficc.com/norm/</link><guid isPermaLink="true">https://blog.lufficc.com/norm/</guid><description>Batch、Layer、Instance、Group Normalization 共享同一个公式，唯一的区别是统计均值与方差时所跨的维度。</description><pubDate>Wed, 27 May 2020 23:12:33 GMT</pubDate><category>机器学习</category><category>深度学习</category></item><item><title>如何上传论文到 arXiv</title><link>https://blog.lufficc.com/how-to-obtain-and-use-the-bbl-file-for-arxiv-submission/</link><guid isPermaLink="true">https://blog.lufficc.com/how-to-obtain-and-use-the-bbl-file-for-arxiv-submission/</guid><description>用 pdflatex 和 bibtex 生成 .bbl 文件并随 LaTeX 源码一起提交 arXiv，让参考文献不依赖服务器端的编译环境。</description><pubDate>Sat, 04 Apr 2020 22:41:00 GMT</pubDate><category>LaTeX</category><category>科研</category></item><item><title>TensorFlow 和 NumPy 的 Broadcasting 机制</title><link>https://blog.lufficc.com/tensorflow-and-numpy-broadcasting/</link><guid isPermaLink="true">https://blog.lufficc.com/tensorflow-and-numpy-broadcasting/</guid><description>NumPy 与 TensorFlow 如何在不复制数据的前提下，让不同形状的数组完成逐元素运算——从后向前对齐的两条规则。</description><pubDate>Fri, 27 Oct 2017 13:21:12 GMT</pubDate><category>机器学习</category><category>NumPy</category></item><item><title>循环神经网络（Recurrent Neural Network）简介</title><link>https://blog.lufficc.com/an-introduction-of-recurrent-neural-network-and-difference-between-traditional-neural-network/</link><guid isPermaLink="true">https://blog.lufficc.com/an-introduction-of-recurrent-neural-network-and-difference-between-traditional-neural-network/</guid><description>循环神经网络如何在时间上共享参数、携带上下文，LSTM 解决了什么问题，以及它与普通神经网络的直观区别。</description><pubDate>Tue, 29 Aug 2017 03:32:00 GMT</pubDate><category>机器学习</category><category>深度学习</category></item><item><title>Reinforcement Learning 的核心基础概念及实现</title><link>https://blog.lufficc.com/reinforcement-learning-and-implementation/</link><guid isPermaLink="true">https://blog.lufficc.com/reinforcement-learning-and-implementation/</guid><description>从马尔可夫决策过程、折扣回报到 Q-learning 与 DQN，梳理强化学习的核心概念，并给出可运行的实现。</description><pubDate>Sat, 29 Apr 2017 22:55:00 GMT</pubDate><category>机器学习</category><category>强化学习</category></item><item><title>你真的了解如何将 Nginx 配置为 Web 服务器吗</title><link>https://blog.lufficc.com/configure-nginx-as-a-web-server/</link><guid isPermaLink="true">https://blog.lufficc.com/configure-nginx-as-a-web-server/</guid><description>虚拟服务器、location 匹配规则、变量、返回码、错误页与 URI 重写——把 Nginx 配置成 Web 服务器的核心知识。</description><pubDate>Sun, 27 Nov 2016 23:14:58 GMT</pubDate><category>Nginx</category><category>后端</category></item><item><title>初识 Nginx</title><link>https://blog.lufficc.com/nginx-for-beginners/</link><guid isPermaLink="true">https://blog.lufficc.com/nginx-for-beginners/</guid><description>Nginx 的基本命令、配置文件结构，以及如何用它提供静态内容、做反向代理和 FastCGI 代理。</description><pubDate>Wed, 23 Nov 2016 19:55:08 GMT</pubDate><category>Nginx</category><category>后端</category></item><item><title>多动态图详细讲解二叉搜索树</title><link>https://blog.lufficc.com/binary-search-tree/</link><guid isPermaLink="true">https://blog.lufficc.com/binary-search-tree/</guid><description>二叉搜索树的定义与查询、插入、删除操作，以及删除节点时三种情况的处理方式。</description><pubDate>Wed, 16 Nov 2016 21:52:47 GMT</pubDate><category>算法</category><category>数据结构</category></item><item><title>堆排序以及最大优先队列</title><link>https://blog.lufficc.com/heap-sort-and-max-priority-queue/</link><guid isPermaLink="true">https://blog.lufficc.com/heap-sort-and-max-priority-queue/</guid><description>最大堆的性质、维护与建堆过程，用它完成 O(n log n) 的原址排序，并实现最大优先队列。</description><pubDate>Sat, 29 Oct 2016 15:58:22 GMT</pubDate><category>算法</category><category>数据结构</category></item><item><title>Git 的核心概念</title><link>https://blog.lufficc.com/the-core-conception-of-git/</link><guid isPermaLink="true">https://blog.lufficc.com/the-core-conception-of-git/</guid><description>从对象模型理解 Git：blob、tree、commit 如何构成快照，引用与分支为何只是指针。</description><pubDate>Thu, 29 Sep 2016 18:42:00 GMT</pubDate><category>Git</category><category>工具</category></item></channel></rss>