# Learning Rate

> Source: https://sukruyusufkaya.com/en/glossary/ogrenme-orani
> Updated: 2026-05-13T21:08:07.259Z
> Type: glossary
> Category: yapay-zeka-temelleri
**TLDR:** A core hyperparameter that determines how much model parameters change at each update step.

<p>The learning rate is one of the most critical hyperparameters controlling the pace of training. If it is set too high, the model may behave unstably and miss good solutions; if it is too low, training may become extremely slow or ineffective. For that reason, learning rate choice has a direct impact on model performance. Strong optimization depends not only on the right algorithm but also on the right learning rate schedule. This seemingly small setting can sometimes determine the difference between success and failure.</p>