Bøger af Micheal Lanham

Leverage the power of AI in coding, graphics, design, and intelligence to join the next wave in game developmentKEY FEATURES ¿ Teaches the core concepts of game development for 2D, 3D, and AI games.¿ Uses AI to assist and guide the reader across several facets of game development.¿ Learn to create AI-controlled enemies for your games.DESCRIPTION This book is a comprehensive guide to creating interactive and engaging games, leveraging the capabilities of ChatGPT and other advanced AI technologies. The book starts with prompt engineering and system prompting, building a strong AI foundation for game development. It covers various game genres, from text adventures to 3D shooters, showing AI integration. Each chapter is designed to build on the previous one, ensuring a cohesive learning experience that gradually increases in complexity and depth. Readers will learn game development basics and creative techniques for immersive game worlds. They will use PyZork for text games and Streamlit for enhanced visuals. The book covers AI-generated assets, behavior-driven AI, and advanced topics like isometric world-building and voice-responsive games. Practical projects help readers create their unique games, while GPT agents and AI technologies showcase the future of gaming.By the end of this journey, readers will have a deep understanding of how to create innovative and engaging games using AI, positioning them at the forefront of modern game development.WHAT YOU WILL LEARN¿ Master prompt engineering for building games, game assets, and AI-driven games.¿ Develop engaging text-based adventures with AI-driven storytelling elements.¿ Create 2D games from platformers, isometric worlds, and physics.¿ Design AI opponents with behavior-driven logic and adaptive difficulty.¿ Introduction to 3D first-person shooters using GPT agents.¿ Implement voice recognition and text-to-speech in interactive games.WHO THIS BOOK IS FORThis book is for aspiring or experienced game developers and indie game studios interested in using generative AI to create games faster and explore new possibilities.

In Evolutionary Deep Learning you'll master a toolbox of EC techniques that can be applied to any stage of the deep learning pipeline--from data collection, to hyperparameter tuning, and even optimizing network architecture. Hands-on examples demonstrate genetic algorithms and other EC approaches in action, and apply evolutionary deep learning to network topology, criterion loss and rewards, generative modeling, and reinforcement learning. Google Colab notebooks make it easy to experiment and play around with each exciting example. By the time you've finished reading, you'll be ready to build deep learning models as self-sufficient systems you can efficiently adapt to changing requirements.

Working with AI is complicated and expensive for many developers. That's why cloud providers have stepped in to make it easier, offering free (or affordable) state-of-the-art models and training tools to get you started. With this book, you'll learn how to use Google's AI-powered cloud services to do everything from creating a chatbot to analyzing text, images, and video.Author Micheal Lanham demonstrates methods for building and training models step-by-step and shows you how to expand your models to accomplish increasingly complex tasks. If you have a good grasp of math and the Python language, you'll quickly get up to speed with Google Cloud Platform, whether you want to build an AI assistant or a simple business AI application.Learn key concepts for data science, machine learning, and deep learningExplore tools like Video AI and AutoML TablesBuild a simple language processor using deep learning systemsPerform image recognition using CNNs, transfer learning, and GANsUse Google's Dialogflow to create chatbots and conversational AIAnalyze video with automatic video indexing, face detection, and TensorFlow HubBuild a complete working AI agent application

The AI revolution is here and it is embracing games. Game developers are being challenged to enlist cutting edge AI as part of their games. In this book, you will look at the journey of building capable AI using reinforcement learning algorithms and techniques. You will learn to solve complex tasks and build next-generation games using a ...

This book will give you an in-depth view of the potential of deep learning and neural networks in game development. You will also learn to use neural nets combined with reinforcement learning for new types of game AI.

Unity Machine Learning Agents allows researchers and developers to create games and simulations using the Unity Editor which serve as environments where intelligent agents can be trained with machine learning methods through a simple-to-use Python API. This book takes you from the basics of Reinforcement and Q Learning to building Deep ...

Are you a mobile developer or a web developer who is looking to create immersive and cool Augmented Reality apps with the latest Google ARCore platform? This book will help you to jump right into developing with ARCore and help you create a step by step AR app with it easily. This book will teach you to implement the core features of ARCore ...

Suitable for game developers, both Indie as well as semi pro, this book shows you how to: develop game audio and other audio effects with Unity; get familiar with the new Audio Mixer introduced in Unity 5; implement dynamic and adaptive audio using various tools and strategies; and, understand and troubleshoot audio performance issues.