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Published in:
2021 | OriginalPaper | Chapter
13. Image Generation
Author : Poornachandra Sarang
Published in: Artificial Neural Networks with TensorFlow 2
Publisher: Apress
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Abstract
Did you ever imagine that neural networks could be used for generating complex color images? How about Anime? How about the faces of celebrities? How about a bedroom? Doesn’t it sound interesting? All these are possible with the most interesting idea in neural networks and that is Generative Adversarial Networks (GANs). The idea was introduced and developed by Ian J. Goodfellow in 2014. The images created by GAN look so real that it becomes practically impossible to differentiate between a fake and a real image. Be warned, to generate complex images of this nature, you would require lots of resources to train the network, but it does certainly work as you would see when you study this chapter. So let us look at what is GAN.