Journal
INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH IN AFRICA
Volume 24, Issue -, Pages 124-136Publisher
TRANS TECH PUBLICATIONS LTD
DOI: 10.4028/www.scientific.net/JERA.24.124
Keywords
Deep learning; Deep belief networks; feature learning; unsupervised learning; Boltzmann Machine; neural nets
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The rapid increase of information and accessibility in recent years has activated a paradigm shift in algorithm design for artificial intelligence. Recently, Deep Learning (a surrogate of Machine Learning) have won several contests in pattern recognition and machine learning. This review comprehensively summarises relevant studies, much of it from prior state-of-the-art techniques. This paper also discusses the motivations and principles regarding learning algorithms for deep architectures.
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