• DocumentCode
    1356010
  • Title

    Deep Machine Learning - A New Frontier in Artificial Intelligence Research [Research Frontier]

  • Author

    Arel, Itamar ; Rose, Derek C. ; Karnowski, T.P.

  • Author_Institution
    Univ. of Tennessee, Knoxville, TN, USA
  • Volume
    5
  • Issue
    4
  • fYear
    2010
  • Firstpage
    13
  • Lastpage
    18
  • Abstract
    This article provides an overview of the mainstream deep learning approaches and research directions proposed over the past decade. It is important to emphasize that each approach has strengths and "weaknesses, depending on the application and context in "which it is being used. Thus, this article presents a summary on the current state of the deep machine learning field and some perspective into how it may evolve. Convolutional Neural Networks (CNNs) and Deep Belief Networks (DBNs) (and their respective variations) are focused on primarily because they are well established in the deep learning field and show great promise for future work.
  • Keywords
    belief networks; learning (artificial intelligence); neural nets; CNN; DBN; artificial intelligence research; convolutional neural networks; deep belief networks; deep machine learning approach;
  • fLanguage
    English
  • Journal_Title
    Computational Intelligence Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1556-603X
  • Type

    jour

  • DOI
    10.1109/MCI.2010.938364
  • Filename
    5605630