Natural Computing with Python: Learn to implement genetic and evolutionary algorithms to solve problems in a pythonic way - Softcover

Zaccone, Giancarlo

 
9789388511612: Natural Computing with Python: Learn to implement genetic and evolutionary algorithms to solve problems in a pythonic way
Softcover
ISBN 10: 9388511611 ISBN 13: 9789388511612
Verlag: BPB Publications, 2019

Inhaltsangabe

Step-by-step guide to learn and solve complex computational problems with Nature Inspired algorithms.

Key Features

  • Artificial Neural Networks
  • Deep Learning models using Keras
  • Quantum Computers and Programming
  • Genetic Algorithms, CNN and RNNs
  • Swarm Intelligence Systems
  • Reinforcement Learning using OpenAI
  • Artificial Life
  • DNA computing
  • Fractals

    • Description
    Natural Computing is the field of research inspired by nature, that allows the development of new algorithms to solve complex problems, leads to the synthesis of natural models, and may result in the design of new computing systems. This book exactly aims to educate you with practical examples on topics of importance associated with research field of Natural computing.

    The initial few chapters will quickly walk you through Neural Networks while describing deep learning architectures such as CNN, RNN and AutoEncoders using Keras. As you progress further, you’ll gain understanding to develop genetic algorithm to solve traveling saleman problem, implement swarm intelligence techniques using the SwarmPackagePy and Cellular Automata techniques such as Game of Life, Langton's ant, etc.

    The latter half of the book will introduce you to the world of Fractals such as such as the Cantor Set and the Mandelbro Set, develop a quantum program with the QiSkit tool that runs on a real quantum computing platform, namely the IBM Q Machine and a Python simulation of the Adleman experiment that showed for the first time the possibility of performing computations at the molecular level.

    What Will You Learn
  • Mastering Artificial Neural Networks
  • Developing Artificial Intelligence systems
  • Resolving complex problems with Genetic Programming and Swarm intelligence algorithms
  • Programming Quantum Computers
  • Exploring the mathematical world of fractals
  • Simulating complex systems by Cellular Automata
  • Understanding the basics of DNA computation


    • Who This Book Is For
    This book is for all science enthusiasts, in particular who want to understand what are the links between computer sciences and natural systems. Interested readers should have good skills in math and python programming along with some basic knowledge of physics and biology. . Although, some knowledge of the topics covered in the book will be helpful, it is not essential to have worked with the tools covered in the book.

    Table of Contents
  • Neural Networks
  • Deep Learning
  • Genetic Programming
  • Swarm Intelligence
  • Cellular Automata
  • Fractals
  • Quantum Computing
  • DNA Computing

    • About the Author
    Giancarlo Zaccone has over ten years of experience in managing research projects in scientific and industrial areas.
    He is a Software and Systems Engineer Consultant at European Space Agency (ESTEC).
    Giancarlo holds a master’s degree in Physics and an advanced master’s degree in Scientific Computing at La Sapienza of Rome.

    His LinkedIn Profile: https://www.linkedin.com/in/giancarlozaccone/

    Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

    Über die Autorin bzw. den Autor

    Giancarlo Zaccone has over fifteen years' experience of managing research projects in the scientific and industrial domains. He is a software and systems engineer at the European Space Agency (ESTEC), where he mainly deals with the cybersecurity of satellite navigation systems. Giancarlo holds a master's degree in physics and an advanced master's degree in scientific computing. Giancarlo has already authored the following titles, available from Packt: Python Parallel Programming Cookbook (First Edition), Getting Started with TensorFlow, Deep Learning with TensorFlow (First Edition), and Deep Learning with TensorFlow (Second Edition).

    „Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

    Verlag
    BPB Publications
    Erscheinungsdatum
    2019
    Sprache
    Englisch
    ISBN 10 
    9388511611
    ISBN 13 
    9789388511612
    Einband
    Taschenbuch
    Anzahl der Seiten
    278
    Kontakt zum Hersteller
    Nicht verfügbar
    Verantwortliche Person
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