Generative models in artificial intelligence span from simple models like Naive Bayes to the advanced deep generative models like current day GANs. This question is not about coding and involves only science and theoretical part only.

Are there any standard textbooks that covers topics from scratch to the advanced?


1 Answer 1


From the theoretical foundations one can look into the Chapter 20: Deep Generative Models of the classic DL book by Goodfellow, Bengio https://amzn.to/2MmZNbH. Not the most recent reference, but written by the professionals in simple and accessible way.

There is a nice book Generative Deep Learning by D.Foster with some simple heuristics and probability theory motivations and examples https://www.google.ru/books/edition/Generative_Deep_Learning/RqegDwAAQBAJ?hl=en&gbpv=1&printsec=frontcover.

Finally, there is a book from Jason Brownlee (author of many nicely written articles on machinelearningmastery.com) https://machinelearningmastery.com/generative_adversarial_networks/


You must log in to answer this question.

Not the answer you're looking for? Browse other questions tagged .