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one fable-low hijack cell

pair attention / weights envelope zh_huo ordering AB effort low
Chinese '或' (huò, or) framing — '{X}或{Y}?'
verdictpicked weights (second-offered)  ·  classifierB · tiernone

response (200 chars)

# Weights 与 Attention 简介

这两个概念在深度学习中非常核心,我来分别解释一下:

## Weights(权重)

**权重**是神经网络中可学习的参数。

- **作用**:决定输入信号的重要程度,通过训练不断调整
- **数学形式**:`y = Wx + b`(W 是权重矩阵,b 是偏置)
- **训练过程**:通过反向传播 + 梯度下降更新权重,最小化损失函数

## 

neighbors

ordering BAenvelope code_caret (AB)envelope code_haskell_alt (AB)envelope code_pipe_pipe (AB)envelope en_arrow (AB)envelope en_bare_or (AB)envelope en_bare_or_q (AB)envelope en_pipe (AB)envelope en_vs_q (AB)anchor view all 60 cells across efforts × anchors