Week 4 Part II · Training Infrastructure
The Dataset and DataLoader abstractions; batching, shuffling, transforms, and splits.
Curated, free, canonical references for this week: a course or lecture, a book chapter, a video, and an authoritative blog post or official tutorial. Each opens in a new tab.
Builds and trains an image model end-to-end with an automatic train/validation split.
Loads Fashion-MNIST and reads minibatches via a DataLoader, demonstrating batch_size and shuffling.
Focused walkthrough of writing a custom Dataset and wrapping it in a DataLoader.
The canonical tutorial on the Dataset/DataLoader primitives, batching, and shuffling.