Learning Rate

The learning rate is a setting in machine learning that determines how much a model adjusts its internal parameters when trying to improve. Think of it like a step size: a small learning rate means the model makes tiny adjustments, leading to careful, steady progress, while a large one causes bigger jumps that can sometimes overshoot the optimal solution. Finding the right learning rate helps the model learn efficiently without getting stuck or overshooting, ultimately leading to better performance and more accurate results.