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Deep Learning on Big Data

Chapter
Publication Date:
2018
abstract:
Deep Learning is a family of machine learning methods based on the composition of multiple (simple) processing layers, in order to learn complex (non-linear) func- tions, which can be used to cope with many challenging application scenarios (e.g. Computer Vision, Natural Language Processing, Speech Recognition and Genomics
Iris type:
02.01 Contributo in volume (Capitolo o Saggio)
Keywords:
deep learning; big data
List of contributors:
Guarascio, Massimo; Folino, Gianluigi
Authors of the University:
FOLINO GIANLUIGI
GUARASCIO MASSIMO
Handle:
https://iris.cnr.it/handle/20.500.14243/347315
Book title:
Encyclopedia of Big Data Technologies
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Overview

URL

https://doi.org/10.1007/978-3-319-63962-8_307-1
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