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如何理解 natural gradient descent? - 知乎 看到一篇文章写得非常浅显易懂： What is the natural gradient, and how does it work? 总结一下： 拿神经网络中的反向传播算法举例，我们计算各个权值w关于损失函数的导数，得到一个梯度向量，然后沿着这个梯度的反方向更新权值一小段距离，如此不断重复来使损失函数收敛到（局部）最小值。 问题就在于
梯度消失问题为什么不通过 gradient scaling 来解决？ - 知乎 The truth is, once your gradient results've already too slight to be distinguished from other noise-disturbances, you scale up all the observable vibrations, you still cannot distinguish the correct gradient signals from noises