Applied Deep Learning with TensorFlow 2: Learn to Implement Advanced Deep Learning Techniques with Python

© Umberto Michelucci 2022

U. MichelucciApplied Deep Learning with TensorFlow 2https://doi.org/10.1007/978-1-4842-8020-1_11

11. Generative Adversarial Networks (GANs)

Umberto Michelucci¹  

(1)

Dübendorf, Switzerland

 

Generative Adversarial Networks (GANs) are, in their most basic form, two neural networks that teach each other how to solve a specific task. The idea was invented by Goodfellow and colleagues in 2014.¹ The two networks help each other with the final goal of being able to generate new data that looks like the data used for training. For example, you may want to train a network to generate human faces that are as realistic as possible. In this case, one network will generate human faces as good as it can, and the second network will criticize ...