Hyperparameter optimization
Hyperparameter optimization is a crucial process in machine learning that involves tuning the parameters of a model to improve its performance.
hyperparameter
Learning rate
The learning rate is a hyperparameter in machine learning algorithms that controls the step size at each iteration while moving toward a minimum of a loss function. It plays a critical role in model training by influencing the speed and quality of convergence.