Hands-On Deep Learning for Games

Dive into the fascinating world of deep learning in game development with "Hands-On Deep Learning for Games." This book guides you through building intelligent games using neural networks and reinforcement learning techniques.

What this Book will help me do

• Understand and implement the foundations of neural networks for game development.
• Learn to use advanced deep learning architectures in diverse applications like game graphics and AI.
• Gain hands-on experience with deep reinforcement learning techniques for smarter game design.
• Master the Unity ML-Agents toolkit for creating intelligent game simulations.
• Apply concepts of curriculum learning and curiosity to enhance game AI capabilities.

Author(s)

Micheal Lanham is an experienced software engineer and a recognized expert in artificial intelligence and game development. With years of teaching and real-world application, Micheal combines theoretical understanding with practical skills. His writing approach ensures that complex topics are simplified without trivializing, making learning approachable and effective.

Who is it for?

This book is ideal for game developers and enthusiasts eager to integrate AI and deep learning into games. It suits those starting with neural networks and machine learning but with basic Python skills. Whether you aim to build next-gen game AI or explore reinforcement learning, this book offers the foundation and advanced techniques to get you started effectively.