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Hands-On Neuroevolution with Python

You're reading from   Hands-On Neuroevolution with Python Build high-performing artificial neural network architectures using neuroevolution-based algorithms

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Product type Paperback
Published in Dec 2019
Publisher Packt
ISBN-13 9781838824914
Length 368 pages
Edition 1st Edition
Languages
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Author (1):
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Iaroslav Omelianenko Iaroslav Omelianenko
Author Profile Icon Iaroslav Omelianenko
Iaroslav Omelianenko
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Table of Contents (18) Chapters Close

Preface 1. Section 1: Fundamentals of Evolutionary Computation Algorithms and Neuroevolution Methods FREE CHAPTER
2. Overview of Neuroevolution Methods 3. Python Libraries and Environment Setup 4. Section 2: Applying Neuroevolution Methods to Solve Classic Computer Science Problems
5. Using NEAT for XOR Solver Optimization 6. Pole-Balancing Experiments 7. Autonomous Maze Navigation 8. Novelty Search Optimization Method 9. Section 3: Advanced Neuroevolution Methods
10. Hypercube-Based NEAT for Visual Discrimination 11. ES-HyperNEAT and the Retina Problem 12. Co-Evolution and the SAFE Method 13. Deep Neuroevolution 14. Section 4: Discussion and Concluding Remarks
15. Best Practices, Tips, and Tricks 16. Concluding Remarks 17. Other Books You May Enjoy

Visual discrimination experiment

Having done all of the necessary setup steps, we are ready to start the experiment.

In the visual discrimination experiment, we use the following configuration of the visual field:

Parameter

Value

Size of the visual field

11 x 11

Positions of the small objects in the visual field along each axis

[1, 3, 5, 7, 9]

Size of the small object

1 x 1

Size of the big object

3 x 3

Offset of the center of the big object from the small object

5

Next, we need to select the appropriate values of the HyperNEAT hyperparameters, allowing us to find a successful solution to the visual discrimination problem.

Note that the hyperparameter that we describe next determines how to evolve the connective CPPN using the neuroevolution process. The discriminator ANN is created by applying the connective CPPN to the substrate.
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