Sritha Zith Dey Babu, Er. Sandeep Kour
Volume 4, Issue 2 2020
Page: 1-10
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) has won several contests in pattern recognition and machine learning. This review comprehensively summarizes relevant studies, much of it from prior state-ofthe-art techniques. This paper also discusses the motivations and principles regarding learning algorithms for deep architectures.
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