Exploring neural networks with C#

The utility of artificial neural network models lies in the fact that they can be used to infer functions from observations-making them especially useful in applications where the complexity of data or tasks makes the design of such functions by hand impractical.Exploring Neural Networks with C# pre...

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Detalles Bibliográficos
Otros Autores: Tadeusiewicz, Ryszard, author (author), Chaki, Rituparna, author (programmer), Chaki, Nabendu, author, Gaciarz, Tomasz, programmer, Borowik, Barbara, programmer, Leper, Bartosz, programmer
Formato: Libro electrónico
Idioma:Inglés
Publicado: Boca Raton, Florida : CRC Press 2015.
Edición:1st edition
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628739406719
Descripción
Sumario:The utility of artificial neural network models lies in the fact that they can be used to infer functions from observations-making them especially useful in applications where the complexity of data or tasks makes the design of such functions by hand impractical.Exploring Neural Networks with C# presents the important properties of neural networks-while keeping the complex mathematics to a minimum. Explaining how to build and use neural networks, it presents complicated information about neural networks structure, functioning, and learning in a manner that is easy to understand.Taking a ""lear
Notas:Description based upon print version of record.
Descripción Física:1 online resource (296 p.)
Bibliografía:Includes bibliographical references.
ISBN:9781482233391