The annotated PyTorch training loop
Summary
A thorough annotated guide to building a PyTorch training loop, explaining each line, its role, and common pitfalls. It covers data handling, model setup, gradient flow, optimization, learning rate scheduling, validation, and GPU optimization, with practical code examples.