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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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