læringshastighetsplanlegger
A learning rate scheduler, often referred to as a læringshastighetsplanlegger in Norwegian, is a hyperparameter optimization technique used in machine learning. Its primary purpose is to adjust the learning rate of an optimization algorithm over the course of training a model. The learning rate determines the step size taken during each iteration of an optimization process, such as gradient descent.
Initially, a higher learning rate can facilitate faster convergence by allowing the model to explore the loss
Learning rate schedulers address this by systematically decreasing the learning rate over time. This allows for