Description
From the brand
From the Publisher
From the Preface
Objective and Approach
This book assumes no prior knowledge of generative AI. We will build up all of the key concepts from scratch in a way that is intuitive and easy to follow, so don’t worry if you have no experience with generative AI. You have come to the right place!
Rather than only covering the techniques that are currently in vogue, this book serves as a complete guide to generative modeling that covers a broad range of model families. There is no one technique that is objectively better or worse than any other—in fact, many state-of-the-art models now mix together ideas from across the broad spectrum of approaches to generative modeling. For this reason, it is important to keep abreast of developments across all areas of generative AI, rather than focusing on one particular kind of technique. One thing is certain: the field of generative AI is moving fast, and you never know where the next groundbreaking idea will come from!
anzelix –
Awesome book and great codebase. A reference for modern AI.
Purev-Oidov. G. –
Hello fellas, I ordered a generative deep learning book from an another source, but had poor quality as well as poor content. But this book is focused on an important part of generative deep learning also has a good quality of content. Really appreciate that I bought this book.
Yalin –
This is a lovely book. It is readable and explains the principles behind algorithms clearly.
tech savvy –
The book is in very good condition, but it has stick notes in it! I seriously doubt they are from the author….
Robert –
Amazing book, for me the best thing about it is that there are many well-sourced and working code and data examples which are explained clearly in the text.
Anonymous –
I haven’t finished yet, but it’s been helpful to implement the examples. So far it’s been a great learning resource.
Pen Name –
This book is an invaluable resource for anyone interested in delving into the fascinating world of generative artificial intelligence. With its clear writing, engaging style, and practical examples, it’s sure to inspire and inform readers on their journey to mastering this cutting-edge technology.Pros:- Excellent structure and easy to follow- Code examples are maintained and work seamlessly- Great balance between theory and practicumCons:- Some of the models did not produce the same results as the book’s after training (training did not go well), however, it’s understandable as these are models that are notoriously hard to train.Overall: highly recommended!
Zack Thoutt –
When I first started learning how to train generative models, I tried taking online courses, but even the expensive ones from top providers never went deep enough into either the math or the code to truly equip me to engineer novel solutions with this technology—at best I could imitate cookie-cutter solutions. Of all the technical books I’ve read on software, not just generative deep learning, this one has the clearest explanations and goes into every nitty-gritty detail.My first edition copy of Generative Deep Learning has been scribbled in, dog-eared, and beaten up over the course of the last few years. Now that I have my second edition, the first will finally get some much-deserved rest on my bookshelf. Technology has evolved quickly and the second edition covers everything I’ve come across in the field more recently that hadn’t been invented yet when the first edition was released.I’ve invested a lot in educating myself on machine learning over the past eight years and Generative Deep Learning is by far the best value. I’d recommend it to people of any skill level, as the author does a great job explaining the beginner concepts, but also dives into more advanced topics and analysis than I’ve seen elsewhere.
Christian –
This review is for the Kindle edition. I have the 2nd print edition of the book and it looks like the 3rd edition has some good additions but rushed out. In this day and age of spell-checkers, auto-complete, and now generative AI, it is unacceptable that the electronic version has poor quality.Subscripts and other type settings are skipped in many places making it harder to read equations.For example J = dz 1 dx 1… or det abcd = ad bc. For some reason many kindle books are plagued with some symbol getting substituted with a square []. You have to guess what that symbol was supposed to be. For the price, that shouldn’t happen.The irony is this a book about generative AI which is supposed to simplify or at least help in such things. If you can wait, maybe there will be a revised edition.
itsokjanet –
I was very excited to read this book on a kindle during long travels. The content, as far I was able to read, was very well put with examples building up the complexity gradually.However, the equations and notations are represented completely unreadable in Kindle. I mean they are completely jibberish comparing to the same ebook on non-kindle devices. So if you plan to use your Kindle, just pass that option. Go for either pdf or the physical book. (I attached screenshots from the kindle version on a paperwhite and kindle on an iphone too demonstrate the difference).What’s not acceptable is that the publisher is still ok with selling the Kindle version. The examples with notations are the heart and soul of this book, and they are everywhere. They know they are completely unreadable, and still publish the horrible Kindle version. Look, if the book is horrible in kindle, just dont publish in that media. This is also damaging the author’s credibility, and it is a complete disrespect for author’s efforts and readers’ time and money.