Hands-on neuroevolution with Python : build high-performing artificial neural network architectures using neuroevolution-based algorithms

Hands-on neuroevolution with Python build high-performing artificial neural network architectures using neuroevolution-based algorithms

Increase the performance of various neural network architectures using NEAT, HyperNEAT, ES-HyperNEAT, Novelty Search, SAFE, and deep neuroevolution Key Features Implement neuroevolution algorithms to improve the performance of neural network architectures Understand evolutionary algorithms and neuro...

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Detalles Bibliográficos
Otros Autores: Omelianenko, Iaroslav, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Birmingham, England ; Mumbai : Packt [2019]
Edición:1st edition
Materias:
Neural networks (Computer science)
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631547406719

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