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You're reading from  Generative Adversarial Networks Cookbook

Product typeBook
Published inDec 2018
PublisherPackt
ISBN-139781789139907
Edition1st Edition
Concepts
Artificial Intelligence
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Josh Kalin
Josh Kalin
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Josh Kalin

Josh Kalin is a Physicist and Technologist focused on the intersection of robotics and machine learning. Josh works on advanced sensors, industrial robotics, machine learning, and automated vehicle research projects. Josh holds degrees in Physics, Mechanical Engineering, and Computer Science. In his free time, he enjoys working on cars (has owned 36 vehicles and counting), building computers, and learning new techniques in robotics and machine learning (like writing this book).
Read more about Josh Kalin

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Evaluation – how do we know it worked?

Okay, it's time to take a deep breath. You now have your results, but how do you know it worked? In this recipe, we are going to qualitatively look at our results and discuss the methods that are available for investigating them.

We want to understand the inputs and outputs of the training script, so the following screenshot is an example of a 128 image input batch:

The following screenshot is an example of our generator output early on in training:

So, what are the practical results of hours of training? Check out the next section to find out!

Getting ready

Your code will need to be running. If it is not, go back to previous recipes and make sure that you have followed all of the instructions correctly.

How it works...

The following diagram shows shows our results in one spot:

As you may have noticed, these results show us that there's some work left to do. You can see that we stopped our process intentionally at epoch 50, rather than 100. Why? Well, there...

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Generative Adversarial Networks Cookbook
Published in: Dec 2018Publisher: PacktISBN-13: 9781789139907
© 2018 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Josh Kalin

Josh Kalin is a Physicist and Technologist focused on the intersection of robotics and machine learning. Josh works on advanced sensors, industrial robotics, machine learning, and automated vehicle research projects. Josh holds degrees in Physics, Mechanical Engineering, and Computer Science. In his free time, he enjoys working on cars (has owned 36 vehicles and counting), building computers, and learning new techniques in robotics and machine learning (like writing this book).
Read more about Josh Kalin

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