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Hands-on artificial intelligence with Unreal Engine : everything you want to know about Game AI using Blueprints or C++

Tác giả: Francesco Sapio

The book starts by breaking down AI into simple concepts to get a fundamental understanding of it. Using a variety of examples, you will work through actual implementations designed to highlight key concepts and features related to game AI in UE4. You will learn to work through the built-in AI ...

  • Vị trí lưu trữ: 03 Quang Trung
  • Tổng sách: 3
  • Đang rỗi: 2
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Game programming in C++ : start to finish (kèm CD)

Tác giả: Erik Yuzwa

This easy-to-follow book takes current game programming information and filters it down to a practical level. Each chapter and subsection builds upon previous chapters and topics in a tutorial format, allowing you to progress at your own pace. As you work through the book, you'll build the ...

  • Vị trí lưu trữ: 03 Quang Trung
  • Tổng sách: 3
  • Đang rỗi: 2
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Game programming in C++ : creating 3D games

Tác giả: Sanjay Madhav

C++ remains the key language at many leading game development studios. Since it’s used throughout their enormous code bases, studios use it to maintain and improve their games, and look for it constantly when hiring new developers. Game Programming in C++ is a practical, hands-on approach to ...

  • Vị trí lưu trữ: 03 Quang Trung
  • Tổng sách: 3
  • Đang rỗi: 2
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JavaScript from beginner to professional : learn JavaScript quickly by building fun, interactive, and dynamic web apps, games, and pages

Tác giả: Laurence Lars Svekis, Maaike van Putten, Rob Percival

This book demonstrates the capabilities of JavaScript for web application development by combining theoretical learning with code exercises and fun projects that you can challenge yourself with. The guiding principle of the book is to show how straightforward JavaScript techniques can be used to ...

  • Vị trí lưu trữ: 03 Quang Trung
  • Tổng sách: 3
  • Đang rỗi: 1
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Machine learning : the new AI

Tác giả: Ethem Alpaydin

1. Why we are interested in machine learning; 2. Machine learning, statistics and data analytics; 3. Pattern recognition; 4. Neural networks and deep learning; 5. Learning clusters and recommendations; 6. Learning to take actions; 7. Where do we go from here?.

  • Vị trí lưu trữ: 03 Quang Trung
  • Tổng sách: 2
  • Đang rỗi: 2