Chapter 26: PyTorch Neural Network Fundamentals

Learning Objectives

• Define neural network architectures using nn.Module and nn.Sequential
• Implement the training loop with loss computation, backpropagation, and optimizer steps
• Select and implement appropriate loss functions for regression and classification
• Set up training infrastructure: data loaders, learning rate schedulers, checkpointing