Introduction to Neural Networks is Book 3 in the AI for Beginners - Kids Edition series, a curriculum designed to help young learners understand the foundations of artificial intelligence through simple explanations, engaging stories, and visually rich illustrations. This book introduces children to neural networks, one of the most important ideas behind modern AI. Using short narrative scenes and colorful conceptual diagrams, students explore how neurons work, what layers do, how a network learns from data, and why mistakes help improve accuracy over time. Complex topics such as activation, backpropagation, feature extraction, gradients, and deep learning are presented in clear, age-appropriate language that makes advanced ideas accessible even to beginners. Each spread includes a story page, a kid-friendly concept page, and a vivid illustration that brings the idea to life. The back of the book includes a 50-word glossary, multiple assessments, and a performance task that allows students to demonstrate their understanding creatively. Designed for ages 8-12, Introduction to Neural Networks supports classroom instruction, homeschool programs, and independent learning. It is part of a larger eight-book series that introduces students to different branches of artificial intelligence, including symbolic reasoning, computer vision, natural language processing, and ethics.

This book helps young readers build confidence in understanding how intelligent systems work and prepares them for a world shaped by AI technologies.