https://kevinng77.github.io/assets/%E7%AC%94%E8%AE%B0attention.html-2c6f591b.js

1const t=JSON.parse('{"key":"v-2cc7c388","path":"/posts/notes/articles/%E7%AC%94%E8%AE%B0attention.html","title":"通俗易懂注意力机制","lang":"zh-CN","frontmatter":{"title":"通俗易懂注意力机制","date":"2021-06-07T00:00:00.000Z","author":"Kevin 吴嘉文","category":["知识笔记"],"tag":["NLP"],"mathjax":true,"toc":true,"comments":"笔记","description":"注意力机制有很多种，大致原理都是根据目标和输入的相似性来改进模型。不同模型的注意力机制假设与效果都不同。网上对于注意力机制的讲解很多，本文主要从相对小白的角度出发，谈谈笔者在学习注意力机制时的想法和总结，希望可以为刚入门的朋友们提供一些帮助。 文章知乎链接 知乎上的排版更好哈！ 注意力机制","head":[["meta",{"property":"og:url","content":"http://antarina.tech/posts/notes/articles/%E7%AC%94%E8%AE%B0attention.html"}],["meta",{"property":"og:site_name","content":"记忆笔书"}],["meta",{"property":"og:title","content":"通俗易懂注意力机制"}],["meta",{"property":"og:description","content":"注意力机制有很多种，大致原理都是根据目标和输入的相似性来改进模型。不同模型的注意力机制假设与效果都不同。网上对于注意力机制的讲解很多，本文主要从相对小白的角度出发，谈谈笔者在学习注意力机制时的想法和总结，希望可以为刚入门的朋友们提供一些帮助。 文章知乎链接 知乎上的排版更好哈！ 注意力机制"}],["meta",{"property":"og:type","content":"article"}],["meta",{"property":"og:locale","content":"zh-CN"}],["meta",{"property":"og:updated_time","content":"2023-03-26T07:48:04.000Z"}],["meta",{"property":"article:author","content":"Kevin 吴嘉文"}],["meta",{"property":"article:tag","content":"NLP"}],["meta",{"property":"article:published_time","content":"2021-06-07T00:00:00.000Z"}],["meta",{"property":"article:modified_time","content":"2023-03-26T07:48:04.000Z"}],["script",{"type":"application/ld+json"},"{\\"@context\\":\\"https://schema.org\\",\\"@type\\":\\"Article\\",\\"headline\\":\\"通俗易懂注意力机制\\",\\"image\\":[\\"\\"],\\"datePublished\\":\\"2021-06-07T00:00:00.000Z\\",\\"dateModified\\":\\"2023-03-26T07:48:04.000Z\\",\\"author\\":[{\\"@type\\":\\"Person\\",\\"name\\":\\"Kevin 吴嘉文\\"}]}"]]},"headers":[{"level":3,"title":"注意力机制","slug":"注意力机制","link":"#注意力机制","children":[]},{"level":3,"title":"注意力评分方程","slug":"注意力评分方程","link":"#注意力评分方程","children":[]},{"level":3,"title":"案例 1：机械翻译","slug":"案例-1-机械翻译","link":"#案例-1-机械翻译","children":[]},{"level":2,"title":"案例 2: Transformers","slug":"案例-2-transformers","link":"#案例-2-transformers","children":[]}],"git":{"createdTime":1679816884000,"updatedTime":1679816884000,"contributors":[{"name":"kevinng77","email":"[email protected]","commits":1}]},"readingTime":{"minutes":17.49,"words":5248},"filePathRelative":"posts/notes/articles/笔记attention.md","localizedDate":"2021å¹´6月6日","excerpt":"<blockquote>\\n<p>注意力机制有很多种，大致原理都是根据目标和输入的相似性来改进模型。不同模型的注意力机制假设与效果都不同。网上对于注意力机制的讲解很多，本文主要从相对小白的角度出发，谈谈笔者在学习注意力机制时的想法和总结，希望可以为刚入门的朋友们提供一些帮助。</p>\\n<p><a href=\\"https://zhuanlan.zhihu.com/p/388823526\\" target=\\"_blank\\" rel=\\"noopener noreferrer\\">文章知乎链接</a> 知乎上的排版更好哈！</p>\\n</blockquote>\\n<!--more-->\\n<h3> 注意力机制</h3>","autoDesc":true}');export{t as data};