Attention Is All You Need论文详解与理解

其他 2020-08-04 07:26:22 阅读次数: 0

研究背景、动机

深度学习做NLP问题的方法，大多基本上是先将句子分词，然后将每个词转化为对应的词向量序列，于是每个句子就都对应一个词嵌入矩阵 $X=(x1,x2,...,xt)X=\left(x_1,x_2,{...,x}_t\right)$

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转载自blog.csdn.net/HowardEmily/article/details/107114108

Attention Is All You Need论文详解与理解

Attention is all you need 论文详解（转）

对Attention is all you need 的理解

Attention is All You Need 理解

Attention is all you need

Attention all you need

《Attention Is All You Need》

论文笔记-理解-Attention Is All You Need

《Attention is All You Need》论文理解Transformer

论文笔记：Attention Is All You Need

论文分享-->Attention is all you need

论文笔记《Attention Is All You Need》

《Attention Is All You Need》论文总结

attention is all you need 论文笔记

[Attention Is All You Need]论文笔记

Attention is all you need论文翻译

Attention Is All You Need 论文研读

【论文笔记】Attention is all you need

论文阅读：Attention is all you need

【论文阅读】Attention is all you need（Transformer）

【论文 01】《Attention is all you need》

Transformer 论文精读——Attention Is All You Need

论文阅读《Attention is all you need》

Transform详解(超详细) Attention is all you need论文

读懂「Attention is All You Need」|

Transformer【Attention is all you need】

Attention is All You Need -- 浅析

paper:Attention Is All You Need

Transformer：Attention Is All You Need

Transformer —— attention is all you need

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