Free Download Deep Generative Modeling by Jakub M. TomczakEnglish | September 11, 2024 | ISBN: 3031640861 | 336 pages | MOBI | 41 Mb
This first comprehensive book on models behind Generative AI has been thoroughly revised to cover all major classes of deep generative models: mixture models, Probabilistic Circuits, Autoregressive Models, Flow-based Models, Latent Variable Models, GANs, Hybrid Models, Score-based Generative Models, Energy-based Models, and Large Language Models. In addition, Generative AI Systems are discussed, demonstrating how deep generative models can be used for neural compression, among others.