December 2019
Intermediate to advanced
368 pages
11h 10m
English
Content preview from Hands-On Neuroevolution with Python
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Best Practices, Tips, and Tricks
In this chapter, we provide some advice on best practices, tips, and tricks for writing and analyzing neuroevolution algorithms. By the end of this chapter, you will know how to start working with the problem at hand, how to tune the hyperparameters of the neuroevolution algorithm, how to use advanced visualization tools, and what metrics can be used to the analyze the algorithm's performance. Also, you will learn about the best coding practices for Python, which will help you in the implementation of your projects.
In this chapter, we will cover the following topics:
- Starting with problem analysis
- Selecting the optimal search optimization method
- Using advanced visualization tools
- Tuning hyperparameters and ...
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I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.