midKeras
What is gradient descent in Keras training?
Updated May 16, 2026
Short answer
Gradient descent minimizes loss by updating weights iteratively.
Deep explanation
It computes gradients of loss function and updates weights in opposite direction.
Real-world example
Used in almost all neural network training tasks.
Common mistakes
- Using too large learning rate.
Follow-up questions
- What is stochastic gradient descent?
- What is learning rate?