[center]English | 2023 | ISBN: 9781098134174 | 286 Pages | EPUB | 43 MB[/center]

Generative modeling is one of the hottest topics in AI. It is 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), Transformers, normalizing flows, and diffusion models.

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