<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[cs_SZHS的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/cs_SZHS</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; cs_SZHS]]></copyright><item><title><![CDATA[3. Transformer —— 理解QKV]]></title><link>https://blog.youkuaiyun.com/cs_SZHS/article/details/137636765</link><guid>https://blog.youkuaiyun.com/cs_SZHS/article/details/137636765</guid><author>cs_SZHS</author><pubDate>Wed, 17 Apr 2024 17:05:47 +0800</pubDate><description><![CDATA[在这一篇中，我们重新认识了词向量，qkv以及他们的意义和作用。在此基础上，后续才能更好的理解decoder的工作原理。接下来，主要会讲解decoder结构和原理，transformer的总体结构，训练和预测流程。如果能找到合适的项目的话，会进行代码层面的学习演示。0.1*v1。]]></description><category></category></item><item><title><![CDATA[2. Transformer基础学习--encoder模块]]></title><link>https://blog.youkuaiyun.com/cs_SZHS/article/details/137526482</link><guid>https://blog.youkuaiyun.com/cs_SZHS/article/details/137526482</guid><author>cs_SZHS</author><pubDate>Tue, 09 Apr 2024 16:10:49 +0800</pubDate><description><![CDATA[encoder基本模块的介绍，有多头自注意力，FFN，残差和归一化]]></description><category></category></item><item><title><![CDATA[1.Transformer基础学习--attention理解]]></title><link>https://blog.youkuaiyun.com/cs_SZHS/article/details/137518453</link><guid>https://blog.youkuaiyun.com/cs_SZHS/article/details/137518453</guid><author>cs_SZHS</author><pubDate>Mon, 08 Apr 2024 21:57:23 +0800</pubDate><description><![CDATA[本系列对transformer各个模型进行讲解，本篇重点介绍attention]]></description><category></category></item></channel></rss>