Generating a New Reality: From Autoencoders and Adversarial Networks to Deepfakes

Micheal Lanham

Generating a New Reality: From Autoencoders and Adversarial Networks to Deepfakes
  • 出版商: Apress
  • 出版日期: 2021-07-16
  • 售價: $2,480
  • 貴賓價: 9.5 折 $2,356
  • 語言: 英文
  • 頁數: 321
  • 裝訂: Paperback
  • ISBN: 1484270916
  • ISBN-13: 9781484270912
  • 相關分類: GAN 生成對抗網絡、人工智慧、DeepLearning

    • 海外代購書籍(需單獨結帳)

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商品描述

The emergence of artificial intelligence (AI) has brought us to the precipice of a new age where we struggle to understand what is real, from advanced CGI in movies to even faking the news. AI that was developed to understand our reality is now being used to create its own reality.
In this book we look at the many AI techniques capable of generating new realities. We start with the basics of deep learning. Then we move on to autoencoders and generative adversarial networks (GANs). We explore variations of GAN to generate content. The book ends with an in-depth look at the most popular generator projects.
By the end of this book you will understand the AI techniques used to generate different forms of content. You will be able to use these techniques for your own amusement or professional career to both impress and educate others around you and give you the ability to transform your own reality into something new.

What You Will Learn

  • Know the fundamentals of content generation from autoencoders to generative adversarial networks (GANs)
  • Explore variations of GAN
  • Understand the basics of other forms of content generation
  • Use advanced projects such as Faceswap, deepfakes, DeOldify, and StyleGAN2

Who This Book Is For
Machine learning developers and AI enthusiasts who want to understand AI content generation techniques

 

商品描述(中文翻譯)

人工智慧（AI）的出現將我們帶到了一個新時代的邊緣，我們努力理解什麼是真實的，從電影中的高級CGI到甚至假新聞。原本用於理解我們現實的AI現在被用於創造自己的現實。

在這本書中，我們將探討許多能夠生成新現實的AI技術。我們從深度學習的基礎開始。然後我們轉向自編碼器和生成對抗網絡（GAN）。我們探索了GAN的變體來生成內容。本書以深入研究最受歡迎的生成器項目作為結尾。

通過閱讀本書，您將了解用於生成不同形式內容的AI技術。您將能夠使用這些技術來娛樂自己或在職業生涯中給他人留下深刻印象並提供教育，並且能夠將自己的現實轉化為全新的形式。

您將學到什麼：

- 了解從自編碼器到生成對抗網絡（GAN）的內容生成基礎知識
- 探索GAN的變體
- 了解其他形式的內容生成基礎知識
- 使用高級項目，如Faceswap、deepfakes、DeOldify和StyleGAN2

本書適合對機器學習開發和人工智慧熱衷的人，他們希望了解AI內容生成技術。

作者簡介

Micheal Lanham is a proven software and tech innovator with more than 20 years of experience. During that time, he has developed a broad range of software applications in areas including games, graphics, web, desktop, engineering, artificial intelligence (AI), GIS, and machine learning (ML) applications for a variety of industries as an R&D developer. At the turn of the millennium, Micheal began working with neural networks and evolutionary algorithms in game development. He is an avid educator, has written more than eight books covering game development, extended reality, and AI, and teaches at meetups and other events. Micheal also likes to cook for his large family in his hometown of Calgary, Canada.

作者簡介(中文翻譯)

Micheal Lanham是一位經驗豐富的軟體和科技創新者，擁有超過20年的經驗。在此期間，他開發了各種軟體應用，包括遊戲、圖形、網頁、桌面、工程、人工智慧（AI）、地理資訊系統（GIS）和機器學習（ML）應用，作為研發開發人員為各種行業提供服務。在千禧年之際，Micheal開始在遊戲開發中使用神經網絡和進化算法。他是一位熱衷的教育工作者，已經撰寫了八本以上的書籍，涵蓋了遊戲開發、擴增實境和人工智慧，並在聚會和其他活動中擔任教學工作。Micheal還喜歡在他的家鄉加拿大卡爾加里為他的大家庭烹飪。

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