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Iaroslav Omelianenko Hands-On Neuroevolution with Python (Paperback)

Description: Further DetailsTitle: Hands-On Neuroevolution with PythonCondition: NewSubtitle: Build high-performing artificial neural network architectures using neuroevolution-based algorithmsISBN-10: 183882491XEAN: 9781838824914ISBN: 9781838824914Publisher: Packt Publishing LimitedFormat: PaperbackRelease Date: 12/24/2019Description: Increase the performance of various neural network architectures using NEAT, HyperNEAT, ES-HyperNEAT, Novelty Search, SAFE, and deep neuroevolutionKey FeaturesImplement neuroevolution algorithms to improve the performance of neural network architecturesUnderstand evolutionary algorithms and neuroevolution methods with real-world examplesLearn essential neuroevolution concepts and how they are used in domains including games, robotics, and simulationsBook Description Neuroevolution is a form of artificial intelligence learning that uses evolutionary algorithms to simplify the process of solving complex tasks in domains such as games, robotics, and the simulation of natural processes. This book will give you comprehensive insights into essential neuroevolution concepts and equip you with the skills you need to apply neuroevolution-based algorithms to solve practical, real-world problems. You'll start with learning the key neuroevolution concepts and methods by writing code with Python. You'll also get hands-on experience with popular Python libraries and cover examples of classical reinforcement learning, path planning for autonomous agents, and developing agents to autonomously play Atari games. Next, you'll learn to solve common and not-so-common challenges in natural computing using neuroevolution-based algorithms. Later, you'll understand how to apply neuroevolution strategies to existing neural network designs to improve training and inference performance. Finally, you'll gain clear insights into the topology of neural networks and how neuroevolution allows you to develop complex networks, starting with simple ones. By the end of this book, you will not only have explored existing neuroevolution-based algorithms, but also have the skills you need to apply them in your research and work assignments.What you will learnDiscover the most popular neuroevolution algorithms – NEAT, HyperNEAT, and ES-HyperNEATExplore how to implement neuroevolution-based algorithms in PythonGet up to speed with advanced visualization tools to examine evolved neural network graphsUnderstand how to examine the results of experiments and analyze algorithm performanceDelve into neuroevolution techniques to improve the performance of existing methodsApply deep neuroevolution to develop agents for playing Atari gamesWho this book is for This book is for machine learning practitioners, deep learning researchers, and AI enthusiasts who are looking to implement neuroevolution algorithms from scratch. Working knowledge of the Python programming language and basic knowledge of deep learning and neural networks are mandatory.Language: EnglishCountry/Region of Manufacture: GBItem Height: 93mmItem Length: 75mmAuthor: Iaroslav OmelianenkoGenre: Computing & InternetRelease Year: 2019 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.

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Iaroslav Omelianenko Hands-On Neuroevolution with Python (Paperback)

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Book Title: Hands-On Neuroevolution with Python

Title: Hands-On Neuroevolution with Python

Subtitle: Build high-performing artificial neural network architectures usi

ISBN-10: 183882491X

EAN: 9781838824914

ISBN: 9781838824914

Release Date: 12/24/2019

Release Year: 2019

Country/Region of Manufacture: GB

Item Height: 93mm

Genre: Computing & Internet

Number of Pages: 368 Pages

Publication Name: Hands-On Neuroevolution with Python : Build High-Performing Artificial Neural Network Architectures Using Neuroevolution-based Algorithms

Language: English

Publisher: Packt Publishing, The Limited

Publication Year: 2019

Subject: Machine Theory, Intelligence (Ai) & Semantics, Neural Networks

Type: Textbook

Item Length: 3.6 in

Subject Area: Computers

Author: Iaroslav Omelianenko

Item Width: 3 in

Format: Trade Paperback

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