David Forster’s book Generative Deep Learning offers a general view on generative methods for several domains in ML. This is not a book for state-of-the-art recipes on generative DL for the domains you are already working into. The field is evolving very fast and one will surely want to check out the usual data science blogs and above all play with the most popular Github projects in one’s domains. But if one wants to have a general view of how generative DL is used in other ML domains and one likes sound mathematical explanations, this is a very good book.

I come from an NLP world and I became curious about the parts of this book talking about painting and composing. As on my free time I love drawing, I got a very nice introduction here on how we can let machines draw a bit. The book lets you above all think about how to work on solutions combining generative ML for different domains.