Computer scienceData scienceMachine learningIntroduction to deep learningOptimizers

Adam

Bias correction

Report a typo

Adam optimizer includes a bias correction mechanism. What is the reasoning behind it?

Select one option from the list

Bias correction is used to reduce the variance of the gradients in Adam

The first and the second moment estimates are initialized with 0's, which makes them zero-biased, thus, bias correction is performed

Bias correction balances out the biases introduced by the hyperparameter values

___

Create a free account to access the full topic