Synthetic Data for Deep Learning: Generate Synthetic Data for Decision Making and Applications with Python and R

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022

N. Gürsakal et al.Synthetic Data for Deep Learning https://doi.org/10.1007/978-1-4842-8587-9_3

3. Introduction to GANs

Necmi Gürsakal¹  , Sadullah Çelik² and Esma Birişçi²

(1)

Bursa, Turkey

(2)

Aydın, Turkey

 

This chapter provides an introduction to the basic concepts of generative adversarial networks (GANs), which are a type of neural network that can be used to generate synthetic data. Later chapters demonstrate how to use R and Python to use GANs to generate synthetic data for specific applications; this chapter provides crucial context for the R and Python chapters on generating synthetic data.

After brief introduction to GANs, we’ll explore the different ...