Neural networks power the tools that are reshaping how we work, create, and decide — yet most explanations are either too technical or too vague. This book cuts through the noise. Written for professionals, managers, and curious minds who want to understand not just what neural networks are, but how smart people actually use them in practice, you will discover how they learn from data, why they sometimes fail spectacularly, and how to spot the difference between genuine capability and marketing spin. Through real-world examples from healthcare, finance, creative industries, and research, you’ll learn to evaluate neural network projects, ask the right questions, choose the appropriate architecture, and interpret results with a critical eye. The book also tackles the hidden costs — energy consumption, ethical concerns, and data biases — giving you the full picture. Whether you are considering adopting AI in your organization or simply want to understand the technology behind today’s headlines, The Neural Networks Handbook provides the practical knowledge you need. Part of The Practical AI Library.
