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Hands-On Neuroevolution with Python.

You're reading from  Hands-On Neuroevolution with Python.

Product type Book
Published in Dec 2019
Publisher Packt
ISBN-13 9781838824914
Pages 368 pages
Edition 1st Edition
Languages
Author (1):
Iaroslav Omelianenko Iaroslav Omelianenko
Profile icon Iaroslav Omelianenko

Table of Contents (18) Chapters

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

Summary

In this chapter, we briefly summarized what we learned in this book. You also learned about the places where you can search for further insights and continue your self-education.

We are happy to live in an era where the future becomes a reality at such a pace that we completely fail to notice the tremendous changes that happen in our life. Humanity is rapidly moving on a path to mastering the marvels of gene editing and synthetic biology. We continue to conquer the deep mysteries of the human brain, which opens the way for an ultimate understanding of our consciousness. Our advanced experiments in cosmology allow us to zoom closer and closer to the very first moments of the Universe.

We have built an advanced piece of mathematical apparatus that allows us to describe such mysteries as a neutrino that, on its path, can become an electron and after that, a neutrino again...

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