Pytorch for Neural Networks Part 7: Training with Loss and Derivatives

This article, part of a PyTorch series, details the neural network training process by demonstrating a nested loop structure to iterate through training data. It explains how to calculate total loss, derive output, and apply the loss function for model optimization using `loss.backward()`.