juniorPyTorch
What is DataLoader in PyTorch?
Updated May 17, 2026
Short answer
DataLoader loads data in batches for training.
Deep explanation
It handles batching, shuffling, and parallel loading using multiple workers.
Real-world example
Used to efficiently feed large datasets during training.
Common mistakes
- Not shuffling training data or using too many workers causing overhead.
Follow-up questions
- What is a Dataset class?
- Why use num_workers?