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_posts/2025-11-25-d2l_optimization.md

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@@ -408,7 +408,7 @@ Adadelta 是 AdaGrad 的变体,减少学习率对坐标的适应性
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- 调整梯度:
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$$
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\mathbf{g}_t' = \frac{\sqrt{\Delta\mathbf{x}_{t-1} + \epsilon}}{\sqrt{{\mathbf{s}_t + \epsilon}}} \odot \mathbf{g}_t
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\mathbf{g}_t' = \frac{\sqrt{\Delta\mathbf{x}_{t-1} + \epsilon}}{\sqrt{\mathbf{s}_t + \epsilon}} \odot \mathbf{g}_t
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$$
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$\epsilon$ 为小值,如 1e-5,保证数值稳定)

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