Mastering Intelligent Agents is a practical and comprehensive guide to Artificial Intelligence and Deep Learning, designed for students, researchers, educators, software professionals, and developers. Blending fundamental concepts with hands-on Python implementations, the book explores artificial neurons, neural networks, optimization algorithms, activation functions, and model training. Through structured explanations, laboratory exercises, and real-world applications, it equips readers with the knowledge and practical skills needed to develop intelligent systems and understand modern AI-driven software architectures. This book serves as an accessible pathway from foundational principles to advanced neural computing and intelligent automation.
