Evolutionary neural networks in Python

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Author:Omelyanenko Yaroslav
Cover:Hard
Category:Computer & Technology
ISBN:978-5-97060-854-8
Dimensions: 172x21x242cm
This book gives a comprehensive idea of ​​neuroevolution - an approach to training artificial neural networks that uses evolutionary algorithms to simplify the process of solving complex problems in areas such as games, robotics and modeling natural processes.
The reader will begin to get acquainted with key concepts and interdels of neuro-evolution, writing a simple code in the Python language, and then receive practical experience with popular Python libraries and learn to solve common and non-standard applied tasks using algorithms based on neuro-evolution. We will talk about how to adapt the methods of neuro-evolution to existing neural networks to increase the effectiveness of training and decision-making, the completion will be described about the topologies of neuron networks and how neuroevolution allows you to develop complex topology from the simplest basic structure.
The publication is intended for specialists in the field of machine learning and artificial intelligence, who seek to realize neurotics from zero. The presence of basic knowledge in the field of deep training and neural networks, as well as programming in the Python language, is mandatory
Author:
Author:Omelyanenko Yaroslav
Cover:
Cover:Hard
Category:
  • Category:Computer & Technology
ISBN:
ISBN:978-5-97060-854-8

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