Data Handling in PyTorch: Datasets, DataLoaders, and Transforms (LFD2001)

Description

Learn how PyTorch handles data from source to training loop. Load datasets, configure DataLoaders for batching and shuffling, apply transforms for preprocessing and augmentation, and see what happens when data preparation goes wrong.

• Lab 02
• Lab 03
• Lab 04