A Review of Deep Machine Learning
Ben‐Bright Benuwa, Yong Zhao Zhan, Benjamin Ghansah, Dickson Keddy Wornyo, Frank Banaseka Kataka · International journal of engineering research in Africa · 2016
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.