Understanding Convolutional Neural Networks

This chapter focuses on the architecture of convolutional neural networks (CNNs) and their effectiveness in image processing tasks. It examines key concepts like approximation in high-dimensional spaces, translation invariance, and the challenges of capturing global features in images.