{"product_id":"9781838824914","title":"Hands-On Neuroevolution with Python : Build high-performing artificial neural network architectures using neuroevolution-based algorithms","description":"\u003cp\u003eIncrease the performance of various neural network architectures using NEAT, HyperNEAT, ES-HyperNEAT, Novelty Search, SAFE, and deep neuroevolution\u003c\/p\u003e\n\n\u003cp\u003eKey Features\u003c\/p\u003e\n\n\u003cp\u003eImplement neuroevolution algorithms to improve the performance of neural network architectures\n\u003cbr\u003eUnderstand evolutionary algorithms and neuroevolution methods with real-world examples\n\u003cbr\u003eLearn essential neuroevolution concepts and how they are used in domains including games, robotics, and simulations\u003c\/p\u003e\n\n\u003cp\u003eBook DescriptionNeuroevolution 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.\n\u003cbr\u003eYou'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.\n\u003cbr\u003eBy 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 learn\u003c\/p\u003e\n\n\u003cp\u003eDiscover the most popular neuroevolution algorithms - NEAT, HyperNEAT, and ES-HyperNEAT\n\u003cbr\u003eExplore how to implement neuroevolution-based algorithms in Python\n\u003cbr\u003eGet up to speed with advanced visualization tools to examine evolved neural network graphs\n\u003cbr\u003eUnderstand how to examine the results of experiments and analyze algorithm performance\n\u003cbr\u003eDelve into neuroevolution techniques to improve the performance of existing methods\n\u003cbr\u003eApply deep neuroevolution to develop agents for playing Atari games\u003c\/p\u003e\n\n\u003cp\u003eWho this book is forThis 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.\u003c\/p\u003e","brand":"Packt Publishing Limited","offers":[{"title":"Default Title","offer_id":45568705560655,"sku":"00000_00000_00000_00000","price":1785.0,"currency_code":"TWD","in_stock":true}],"url":"https:\/\/kinokuniya.com.tw\/en\/products\/9781838824914","provider":"Books Kinokuniya Taiwan","version":"1.0","type":"link"}