May 2019
Intermediate to advanced
272 pages
7h 19m
English
Content preview from Hands-On Generative Adversarial Networks with Keras
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Evaluating Your First GAN
The evaluation of Generative Adversarial Networks (GANs) is a very active and exciting research field in generative models for generative models. Evaluation is the procedure through which we estimate the quality of our model and the samples produced with it. In this chapter, you will learn how to use different methods to evaluate the quality and variety of the GAN samples you produced in Chapter 3, Implementing your First GAN.
You will learn about the challenges involved in evaluating GAN samples. You will understand and learn to implement metrics for image quality. You will learn about using the birthday paradox to evaluate sample variety.
The following topics will be covered in this chapter:
- The evaluation of ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.