Abstract
Generative adversarial networks (GANs) are a type of deep learning model designed by Ian Goodfellow and his colleagues in 2014.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Deep Convolutional Generative Adversarial Network, TensorFlow, available at www.tensorflow.org/tutorials/generative/dcgan
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2021 Orhan Gazi Yalçın
About this chapter
Cite this chapter
Yalçın, O.G. (2021). Generative Adversarial Network. In: Applied Neural Networks with TensorFlow 2. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-6513-0_12
Download citation
DOI: https://doi.org/10.1007/978-1-4842-6513-0_12
Published:
Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-6512-3
Online ISBN: 978-1-4842-6513-0
eBook Packages: Professional and Applied ComputingProfessional and Applied Computing (R0)Apress Access Books