Math difference between SGD and Adam

Hi, as far i know, SGD is doing:

x_new = x * learning_rate -gradient

When we take look at Adam what is Adam doing with gradient and learning rate ?

The docs show the applied formula and the source code might also be helpful to check how it’s implemented.

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