Generating a New Reality: From Autoencoders and Adversarial Networks to Deepfakes
暫譯: 生成新現實：從自編碼器與對抗網絡到深度偽造技術

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: $2,520
  • 貴賓價: 9.5 折 $2,394
  • 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）的出現使我們來到了一個新時代的邊緣，在這裡我們努力理解什麼是真實的，從電影中的先進電腦生成影像（CGI）到甚至假新聞。原本是為了理解我們現實而開發的AI，現在卻被用來創造自己的現實。
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本概念開始，然後轉向自編碼器（autoencoders）和生成對抗網絡（generative adversarial networks, GANs）。我們將探索GAN的變體以生成內容。本書最後將深入探討最受歡迎的生成器專案。
在閱讀完這本書後，您將了解用於生成不同形式內容的AI技術。您將能夠利用這些技術來娛樂自己或在專業生涯中給周圍的人留下深刻印象並教育他們，並使您能夠將自己的現實轉變為全新的事物。

您將學到的內容：

- 了解從自編碼器到生成對抗網絡（GANs）的內容生成基本原理
- 探索GAN的變體
- 理解其他形式內容生成的基本概念
- 使用進階專案，如Faceswap、deepfakes、DeOldify和StyleGAN2

本書適合對象：
希望了解AI內容生成技術的機器學習開發者和AI愛好者。

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。在這段時間內，他作為研發開發者，開發了廣泛的軟體應用，涵蓋遊戲、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，服務於各種行業。在千禧年之際，Micheal 開始在遊戲開發中使用神經網路和進化演算法。他是一位熱衷於教育的人，撰寫了超過八本書，內容涵蓋遊戲開發、擴增實境和人工智慧，並在聚會和其他活動中授課。Micheal 也喜歡為他在加拿大卡爾加里的大家庭烹飪。

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