Generative Deep Learning: Teaching Machines

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.

Publisher ‏ : ‎ O'Reilly Media (23 July 2019)
Language ‏ : ‎ English
Pages‏ : ‎ 392
ISBN-10 ‏ : ‎ 1492041947
ISBN-13 ‏ : ‎ 978-1492041948
format : PDF