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3. The basic mechanism of the adam optimization algorithm The adam algorithm is different from the traditional stochastic gradient descent. Stochastic gradient descent maintains a single learning rate (i.e. alpha) to update all weights, and the learning rate does not change during the training process. And adam goes through the calculation ladder.
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