Generative deep learning : teaching machines to paint, write, compose, and play /
Foster, David (Business consultant),
Generative deep learning : teaching machines to paint, write, compose, and play / David Foster. - First edition. - xv, 308 pages : illustrations (chiefly color) ; 24 cm
Includes bibliographical references and index.
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.
"Generative modeling is one of the hottest topics in AI. It's now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. 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. Author David Foster demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to some of the most cutting-edge algorithms in the field. Through tips and tricks, you'll understand how to make your models learn more efficiently and become more creative."--Amazon.com.
9781492041948 1492041947
2020301449
GBB9B6664 bnb
019453762 Uk
Machine learning.
Artificial intelligence.
Neural networks (Computer science)
Generative programming (Computer science)
Artificial intelligence.
Generative programming (Computer science)
Machine learning.
Neural networks (Computer science)
Q325.5 / .F67 2019
006.3/1
Generative deep learning : teaching machines to paint, write, compose, and play / David Foster. - First edition. - xv, 308 pages : illustrations (chiefly color) ; 24 cm
Includes bibliographical references and index.
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.
"Generative modeling is one of the hottest topics in AI. It's now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. 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. Author David Foster demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to some of the most cutting-edge algorithms in the field. Through tips and tricks, you'll understand how to make your models learn more efficiently and become more creative."--Amazon.com.
9781492041948 1492041947
2020301449
GBB9B6664 bnb
019453762 Uk
Machine learning.
Artificial intelligence.
Neural networks (Computer science)
Generative programming (Computer science)
Artificial intelligence.
Generative programming (Computer science)
Machine learning.
Neural networks (Computer science)
Q325.5 / .F67 2019
006.3/1