Authors: Joseph Babcock and Raghav Bali
Publication Date: April 30, 2021
Prerequisites: Intermediate Python, knowledge of deep learning
Disclaimer: The publisher sent me a copy of this book for review. I promise that everything said here is my own opinion regardless. All reviews at the Cross Trained Mind are open and honest.
About This Book
This book covers image generation, deepfakes, composing music, and much more. It begins with the basic knowledge required, moves on to setting up your system, gives you the foundation of the field, and then covers a wide range of applications.
Who Is This For?
This book is for anyone who is interested in generating creative works using AI techniques. It’s a great way to learn how to fight against deepfakes, generate text, or create photorealistic images of people who do not exist. It’s an interesting application of AI that is improving at a vast rate.
The macrostructure of the book is set up well. There are no high-order groupings of the chapters, which is a minor loss, but the skills you need to accomplish the projects later in the book are built up earlier. Each chapter covers its topic well, summarizes what you read, and then gives all of the chapters’ references. Overall, a good organization.
Did This Book Succeed?
If you work through this book from beginning to end, or at least the foundational chapters and the application chapters you’re interested in, you will get a LOT out of this book. I have no doubt that you will then be able to work through recent research papers, deconstruct open source applications, or create your own AI-enabled art.
Rating and Final Thoughts
Overall, I give this book a 5 out of 5.
This is a great book to add to your personal AI library, even if it’s not your area of focus. Just makes sure to do the projects and extend them to make sure you comprehend the material. There is much to learn here, so don’t miss out.