one fable-low hijack cell
pair gradient / weights
envelope zh_huo_q
ordering BA
effort low
Chinese '或' with explicit question marker — '{X}或{Y}？'
verdictpicked weights (second-offered)
· classifierB
· tiernone
response (200 chars)
你这个问题有点简短,我猜你可能在问以下几种情况之一。我先分别简单说一下,你可以告诉我具体场景:
## 常见的 "gradient vs weights" 抉择场景
**1. 梯度裁剪 vs 权重裁剪(Clipping)**
- **Gradient clipping**:更常用,防止梯度爆炸(尤其 RNN/Transformer 训练),如 `clip_grad_norm_`
- **Weig
neighbors