# Adam Optimization

> Source: https://sukruyusufkaya.com/en/glossary/adam-optimizasyonu
> Updated: 2026-05-13T21:08:12.590Z
> Type: glossary
> Category: matematik-istatistik-optimizasyon
**TLDR:** A popular optimization algorithm that combines adaptive learning rates with momentum-like behavior.

<p>Adam is one of the most widely used optimization algorithms in deep learning. It combines momentum-like behavior with parameter-wise adaptive learning rates. This helps balance updates across parameters with different scales and often delivers strong practical results out of the box. However, despite its popularity, it is not always the best choice; in some tasks, methods such as SGD may generalize better. Adam is therefore a powerful tool, but it should not be assumed to dominate every problem automatically.</p>