GANs in Action: Deep Learning with Generative Adversarial Networks
GANs in Action provides a focused introduction to generative adversarial networks and their place in deep learning. Written by Jakub Langr and Vladimir Bok, this guide helps readers explore the foundational ideas behind GANs and understand their relevance within modern artificial intelligence and computer science.
About This Book
GANs in Action introduces generative adversarial networks, a deep learning approach focused on generating data.
The book is centered on the concepts and methods associated with GANs, making the subject approachable for readers seeking a focused technical guide.
Jakub Langr and Vladimir Bok present the topic under the broader fields of artificial intelligence, machine learning, and computer science.
It offers a concise starting point for understanding this influential area of modern deep learning.
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