midKeras
What is the role of optimizers in Keras?
Updated May 16, 2026
Short answer
Optimizers adjust weights to minimize loss.
Deep explanation
They use gradients from backpropagation to update parameters using algorithms like SGD or Adam.
Real-world example
Used in training recommendation systems.
Common mistakes
- Using high learning rates causing divergence.
Follow-up questions
- What is Adam optimizer?
- When to use SGD?