Fundamentally, this is a form ofstepsize annealing- the step size is adjusteddynamically and grows smaller and smaller as we begin approaching a minima and the gradients begin to shrink. Here's a full picture of all of these steps summarized (as presented in the paper): ...
梯度下降：我们知道曲面上方向导数的最大值的方向就代表了梯度的方向，因此我们在做梯度下降的时候，应该...
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P.S. - while there isn't enough room here to give full proofs of all these equations. I've broken down the math for myself as I was learning it all in one spothttps://crysta.notion.site/ADAM-A-METHOD-FOR-STOCHASTIC-OPTIMIZATION-758a789b929842d4ac01281e4366f9f5; check it out and s...