juniorPyTorch
What is a training loop in PyTorch?
Updated May 17, 2026
Short answer
A training loop iteratively trains a model over data.
Deep explanation
It includes forward pass, loss computation, backward pass, and optimizer step.
Real-world example
Core of neural network training.
Common mistakes
- Skipping zero_grad or backward.
Follow-up questions
- What is an epoch?
- Why use batching?