Advances and Applications in Deep Learning

Artificial Intelligence (AI) has attracted the attention of researchers and users alike and is taking an increasingly crucial role in our modern society. From cars, smartphones, and airplanes to medical equipment, consumer applications, and industrial machines, the impact of AI is notoriously changi...

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Detalles Bibliográficos
Otros Autores: Aceves-Fernandez, Marco Antonio, editor (editor)
Formato: Libro electrónico
Idioma:Inglés
Publicado: London, England : IntechOpen 2020.
Colección:Artificial Intelligence ; Volume 4
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009746231806719
Descripción
Sumario:Artificial Intelligence (AI) has attracted the attention of researchers and users alike and is taking an increasingly crucial role in our modern society. From cars, smartphones, and airplanes to medical equipment, consumer applications, and industrial machines, the impact of AI is notoriously changing the world we live in. In this context, Deep Learning (DL) is one of the techniques that has taken the lead for cognitive processes, pattern recognition, object detection, and machine learning, all of which have played a crucial role in the growth of AI. As such, this book examines DL applications and future trends in the field. It is a useful resource for researchers and students alike.
Descripción Física:1 online resource (122 pages)
Acceso:Open access