Walle
Created page with "{{see also|Machine learning terms}} ==Definition== In machine learning, the '''step size''' (also known as learning rate or alpha) is a hyperparameter that determines the magnitude of the update applied to the weights of a model during optimization. Step size is a crucial factor in the training process, as it influences the model's convergence speed and its ability to reach the global minimum of the loss function. The step size is used in various optimization algorit..."
