Hands-on genetic algorithms with Python : applying genetic algorithms to solve real-world deep learning and artificial intelligence problems /: applying genetic algorithms to solve real-world deep learning and artificial intelligence problems. (2020)

• Record Type: Book
• Further Information: Note: Eyal Wirsansky.
• Authors: Wirsansky, Eyal
• Contents: Table of ContentsAn Introduction to Genetic AlgorithmsUnderstanding the Key Components of Genetic AlgorithmsUsing the DEAP FrameworkCombinatorial OptimizationConstraint SatisfactionOptimizing Continuous FunctionsEnhancing Machine Learning Models Using Feature SelectionHyperparameter Tuning Machine Learning ModelsArchitecture Optimization of Deep Learning NetworksReinforcement Learning with Genetic AlgorithmsGenetic Image ReconstructionOther Evolutionary and Bio-Inspired Computation Techniques.
• Publisher Details: Birmingham, UK : Packt Publishing Ltd
• Publication Date: 2020
• Copyright Date: 2020
• Extent: 1 online resource
• Subjects: 005.1; Genetic algorithms; Genetic programming (Computer science); Python (Computer program language); Genetic algorithms; Genetic programming (Computer science); Python (Computer program language); Electronic books
• Languages: English
• ISBNs: 9781838559182; 1838559183
• Notes: Note: Includes bibliographical references and index.; Note: Online resource; title from digital title page (viewed on April 09, 2020).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.