learning and deep learning in various tasks, and is particularly well known for his work in

speech synthesis. In this book, Rafael will take you into a new world full of interesting

things a Deep Neural Network (DNN) can do.

For those who are not familiar with DNNs, this book explains the basics and helps you set

up the environment to train your first neural network. It then goes on to introduce a very

popular class of DNNs, called Generative Adversarial Networks (GANs). This book goes

through the principal ideas behind GANs, how to train and evaluate your first GANs, and

the problems you might encounter while training them. To improve your results and

stabilize your training procedure, you might find several tricks listed in the book to be very

useful. Finally, the book shows several applications of GANs in different areas, including

computer vision, natural language processing, and speech processing. Experience the fun

and joy of turning simple lines of code into tangible images or audio.

The book approaches the concepts of GANs in both a mathematical and an intuitive way.

After you have completed the book, you will be familiar with the GANs that are commonly

used nowadays, as well as their different use cases and their potential impacts. You will

also get to know the mechanism of training GANs, the current limitations of GANs, and the

future of GANs. Most importantly, the book provides extensive hands-on examples to

really help you implement everything from the ground up, so you can learn from your own

experiences.

Get ready for the journey to see the fascinating world built by GANs.

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