Babcock / Bali Generative AI with Python and TensorFlow 2

Create images, text, and music with VAEs, GANs, LSTMs, Transformer models
1. Auflage 2021
ISBN: 978-1-80020-850-6
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 488 Seiten

Machines are excelling at creative human skills such as painting, writing, and composing music. Could you be more creative than generative AI?
In this book, you'll explore the evolution of generative models, from restricted Boltzmann machines and deep belief networks to VAEs and GANs. You'll learn how to implement models yourself in TensorFlow and get to grips with the latest research on deep neural networks.
There's been an explosion in potential use cases for generative models. You'll look at Open AI's news generator, deepfakes, and training deep learning agents to navigate a simulated environment.
Recreate the code that's under the hood and uncover surprising links between text, image, and music generation.

Autoren/Hrsg.

Babcock, Joseph

Bali, Raghav

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision

Inhaltsverzeichnis

Table of Contents - An Introduction to Generative AI: "Drawing" Data from Models
- Setting Up a TensorFlow Lab
- Building Blocks of Deep Neural Networks
- Teaching Networks to Generate Digits
- Painting Pictures with Neural Networks Using VAEs
- Image Generation with GANs
- Style Transfer with GANs
- Deepfakes with GANs
- The Rise of Methods for Text Generation
- NLP 2.0: Using Transformers to Generate Text
- Composing Music with Generative Models
- Play Video Games with Generative AI: GAIL
- Emerging Applications in Generative AI