Natural Computing with Python
Cód:
491_9789388511612
Step-by-step guide to learn and solve complex computational problems with Nature Inspired algorithms. Key FeaturesArtificial Neural NetworksDeep Learning models using KerasQuantum Computers and ProgrammingGenetic Algorithms, CNN and RNNsSwarm Intelligence Systems Reinforcement Learning using OpenAIArtificial Life DNA computing FractalsDescriptionNatural 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, youll 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, Langtons 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 LearnMastering Artificial Neural NetworksDeveloping Artificial Intelligence systems Resolving complex problems with Genetic Programming and Swarm intelligence algorithmsProgramming Quantum ComputersExploring the mathematical world of fractalsSimulating complex systems by Cellular AutomataUnderstanding the basics of DNA computation Who This Book Is ForThis book is for all science enthusiasts, in particular who want to unders
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