Custom Datasets & DataLoaders — Roadmap Step & Resources
Wrapping raw data in Dataset/DataLoader classes for efficient, batched training
- Level: intermediate
- Estimated time: 1 days
- Roadmap: Deep Learning & Neural Networks
Before this step
Interview questions
- What does a DataLoader give you beyond manually slicing a dataset into batches?
Study resources
- Datasets & DataLoaders (Article) — The official PyTorch documentation's tutorial on the Dataset and DataLoader classes.
- PyTorch DataLoader Explained (Video) — Covers batching, shuffling and loading data efficiently for training.
Part of
- Deep Learning Frameworks in Depth — section
- Deep Learning & Neural Networks roadmap — the full learning path