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Table Of Contents
Generative AI with Python and TensorFlow 2
By :
Generative AI with Python and TensorFlow 2
By:
Overview of this book
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.
Table of Contents (16 chapters)
Preface
An Introduction to Generative AI: "Drawing" Data from Models
Free Chapter
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
Other Books You May Enjoy
Index
