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Generative AI with Python and TensorFlow 2

You're reading from  Generative AI with Python and TensorFlow 2

Product type Book
Published in Apr 2021
Publisher Packt
ISBN-13 9781800200883
Pages 488 pages
Edition 1st Edition
Languages
Authors (2):
Joseph Babcock Joseph Babcock
Profile icon Joseph Babcock
Raghav Bali Raghav Bali
Profile icon Raghav Bali
View More author details

Table of Contents (16) Chapters

Preface 1. An Introduction to Generative AI: "Drawing" Data from Models 2. Setting Up a TensorFlow Lab 3. Building Blocks of Deep Neural Networks 4. Teaching Networks to Generate Digits 5. Painting Pictures with Neural Networks Using VAEs 6. Image Generation with GANs 7. Style Transfer with GANs 8. Deepfakes with GANs 9. The Rise of Methods for Text Generation 10. NLP 2.0: Using Transformers to Generate Text 11. Composing Music with Generative Models 12. Play Video Games with Generative AI: GAIL 13. Emerging Applications in Generative AI 14. Other Books You May Enjoy
15. Index

Applications of AI

In New York City in October 2018, the international auction house Christie's sold the Portrait of Edmond Belamy (Figure 1.1) during the show Prints & Multiples for $432,500.00. This sale was remarkable both because the sale price was 45 times higher than the initial estimates for the piece, and due to the unusual origin of this portrait. Unlike the majority of other artworks sold by Christie's since the 18th century, the Portrait of Edmond Belamy is not painted using oil or watercolors, nor is its creator even human; rather, it is an entirely digital image produced by a sophisticated machine learning algorithm. The creators—a Paris-based collective named Obvious—used a collection of 15,000 portraits created between the 14th and 20th centuries to tune an artificial neural network model capable of generating aesthetically similar, albeit synthetic, images.

Figure 1.1: The Portrait of Edmond Belamy1

Portraiture is far from...

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