About this document
Dataset and DataLoader in PyTorch by lingyun wu is a document available to read on EtoBox.
This document summarizes a PyTorch tutorial on datasets and data loaders. It discusses defining a custom dataset class by inheriting from Dataset and implementing the required __getitem__ and __len__ methods. It also covers using a DataLoader to load data from the dataset in batches. The DataLoader handles shuffling, batching, and multi-processing to efficiently feed data to a model for training.
- Author
- lingyun wu
- Language
- EN