May 2019
Intermediate to advanced
272 pages
7h 19m
English
In this section, you will learn how to train simple GAN models, come to understand the challenges involved in training GANs, learn to evaluate GAN samples, and lastly, learn how to improve GANs with different architectures and loss functions.
The following chapters will be covered in this section:
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