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

Product typeBook

Published inDec 2019

Reading LevelExpert

PublisherPackt

ISBN-139781838824914

Edition1st Edition

Languages

Python

Concepts

Neural Networks

Author (1)

Iaroslav Omelianenko

Section 3: Advanced Neuroevolution Methods

This section discusses advanced neuroevolution methods and how to use them to solve practical problems. You will learn about advanced neuroevolution techniques and find ideas for new projects.

This section comprises the following chapters:

Chapter 7, Hypercube-Based NEAT for Visual Discrimination
Chapter 8, ES-HyperNEAT and the Retina Problem
Chapter 9, Co-Evolution and the SAFE Method
Chapter 10, Deep Neuroevolution

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Hands-On Neuroevolution with Python.

Published in: Dec 2019Publisher: PacktISBN-13: 9781838824914

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Author (1)

Iaroslav Omelianenko

Iaroslav Omelianenko occupied the position of CTO and research director for more than a decade. He is an active member of the research community and has published several research papers at arXiv, ResearchGate, Preprints, and more. He started working with applied machine learning by developing autonomous agents for mobile games more than a decade ago. For the last 5 years, he has actively participated in research related to applying deep machine learning methods for authentication, personal traits recognition, cooperative robotics, synthetic intelligence, and more. He is an active software developer and creates open source neuroevolution algorithm implementations in the Go language.
Read more about Iaroslav Omelianenko

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