DataLoader

A DataLoader is a tool used in machine learning to efficiently manage and provide data for training models. It organizes large datasets into smaller, manageable chunks called batches, which are fed into the model for learning. This process ensures that data is loaded, preprocessed, and delivered quickly, optimizing training speed and resource use. Think of it as a conveyor belt that systematically supplies the right-sized portions of data, enabling the model to learn effectively without being overwhelmed by the full dataset at once.