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Deep Structured Learning: Architectures and Applications

  • Received : 2018.10.20
  • Accepted : 2018.11.05
  • Published : 2018.12.31

Abstract

Deep learning, a sub-field of machine learning changing the prospects of artificial intelligence (AI) because of its recent advancements and application in various field. Deep learning deals with algorithms inspired by the structure and function of the brain called artificial neural networks. This works reviews basic architecture and recent advancement of deep structured learning. It also describes contemporary applications of deep structured learning and its advantages over the treditional learning in artificial interlligence. This study is useful for the general readers and students who are in the early stage of deep learning studies.

Keywords

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Figure 1. Artificial intelligence, machine learning and deep learning, subset and timeline illustration.

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