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Generative deep learning : Teaching machines to paint, write, compose, and play

With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models, such as variational autoencoders,generative adversarial networks (GANs), encoder-decoder models and world models.

Bibliographic Details
Main Author: Foster, David
Other Authors: Demarest, Rebecca
Format: Printed Book
Published: Mumbai: O'Reilly: Shroff Publishers and Distributors, c.2019.
Edition:1 Ed.
Subjects:
Table of Contents:
  • Part 1. Introduction to generative deep learning. Generative modeling
  • Deep learning
  • Variational autoencoders
  • Generative adversarial networks
  • Part 2. Teaching machines to paint, write, compose, and play. Paint
  • Write
  • Compose
  • Play
  • The future of generative modeling
  • Conclusion.