Definition
A crucial hyperparameter that determines the step size taken during the optimization process (Gradient Descent) when adjusting a model's weights in response to the estimated error.
In short: A crucial hyperparameter that determines the step size taken during the optimization process (Gradient Descent) when adjusting a model's weights in response to the estimated error.