midKeras
What is the difference between training and inference in Keras?
Updated May 16, 2026
Short answer
Training updates weights; inference uses trained model for predictions.
Deep explanation
During training, gradients are computed; during inference, model is used in forward pass only.
Real-world example
Deploying chatbot after training phase.
Common mistakes
- Applying dropout during inference.
Follow-up questions
- Is backprop used in inference?
- Why inference is faster?