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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.

Opis bibliograficzny
1. autor: Foster, David
Kolejni autorzy: Demarest, Rebecca
Format: Printed Book
Wydane: Mumbai: O'Reilly: Shroff Publishers and Distributors, c.2019.
Wydanie:1 Ed.
Hasła przedmiotowe: