Enhancing Neural Networks Through Data Augmentation

This chapter discusses data augmentation techniques, such as flipping and cropping images, to improve neural network generalization. It also examines the role of contrastive learning and the challenges of applying deep learning methods to real-world data, particularly in fields like astronomy.