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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.

Detalhes bibliográficos
Autor principal: Foster, David
Outros Autores: Demarest, Rebecca
Formato: Printed Book
Publicado em: Mumbai: O'Reilly: Shroff Publishers and Distributors, c.2019.
Edição:1 Ed.
Assuntos:
Sumário:
  • 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.