前馈网络Feed-Forward Network

Transformer 每层里的消化环节：注意力看完之后，由它加工。The digestion step inside every Transformer layer: attention looks around, then this part processes.

一种基本的神经网络结构：信息一层一层往前传，每层做一次变换。

在 Transformer 里，每层先做注意力，再接一个前馈网络。

这个前馈网络逐位置处理，两者交替进行。

A basic neural-network structure: information passes layer by layer, each layer applying one transformation.

In a Transformer, each layer runs attention first, then a feed-forward network.

This feed-forward network works position by position, alternating with attention.

注意力负责「谁和谁相关」，前馈网络负责「把相关的东西加工成判断」。缺了它，模型只会连线，不会思考。Attention decides which words relate to each other; the feed-forward network turns those relations into judgments. Without it, a model can only draw lines, not think.

看站群怎么分工：这一站回答「是什么」，其他站回答「选哪个」How the site family divides the work ↗

回到名词地图看第4站的其他 35 个词 →Back to the map: the other 35 terms in station 4 →

• Attention Is All You Need（论文 §3.3）Attention Is All You Need §3.3 (paper) ↗