E-book details

Generative AI with Python and TensorFlow 2. Create images, text, and music with VAEs, GANs, LSTMs, Transformer models

Generative AI with Python and TensorFlow 2. Create images, text, and music with VAEs, GANs, LSTMs, Transformer models

Joseph Babcock, Raghav Bali

Ebook
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.
  • 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
  • Title: Generative AI with Python and TensorFlow 2. Create images, text, and music with VAEs, GANs, LSTMs, Transformer models
  • Author: Joseph Babcock, Raghav Bali
  • Original title: Generative AI with Python and TensorFlow 2. Create images, text, and music with VAEs, GANs, LSTMs, Transformer models
  • ISBN: 9781800208506, 9781800208506
  • Date of issue: 2021-04-30
  • Format: Ebook
  • Item ID: e_2a60
  • Publisher: Packt Publishing