What are optimizers in PyTorch?

Updated May 17, 2026

Short answer

Optimizers update model parameters using gradients.

Deep explanation

They apply algorithms like SGD or Adam to minimize loss.

Real-world example

Used in every training loop.

Common mistakes

Not calling optimizer.zero_grad().

Follow-up questions

Adam vs SGD?
What is momentum?

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