DEEP LEARNING APPLICATIONS IN PRODUCTION PROCESSES

IKER PEREIRA; ALEXANDER  MORENO MONGE; IKER PASTOR LOPEZ; BORJA SANZ URQUIJO; ALBERTO TELLAECHE IGLESIAS; PABLO  GARCIA BRINGAS

doi:http://dx.doi.org/10.6036/9763

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DEEP LEARNING APPLICATIONS IN PRODUCTION PROCESSES

JANUARY 2021 - Volume: 96 - Pages: 7-10

DOI:

http://dx.doi.org/10.6036/9763

Authors:

IKER PEREIRA - ALEXANDER MORENO MONGE -

IKER PASTOR LOPEZ

BORJA SANZ URQUIJO

ALBERTO TELLAECHE IGLESIAS

PABLO GARCIA BRINGAS

Disciplines:

Telecommunications technology (INTELIGENCIA ARTIFICIAL )

Downloads: 30

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Key words:: aprendizaje profundo, deep learning, proceso productivo, red neuronal, neural network, ANN, DNN
Article type:: PERSPECTIVAS / PERSPECTIVES
Section:: PERSPECTIVES

Deep learning, encompasses various techniques and methodologies that fall within the scope of machine learning and, by extension, artificial intelligence. In recent years it has gained much significance, mainly because of its impact on areas such as machine vision or natural language processing.

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