• DocumentCode
    1281591
  • Title

    The MNIST Database of Handwritten Digit Images for Machine Learning Research [Best of the Web]

  • Author

    Li Deng

  • Author_Institution
    Microsoft Res., Redmond, WA, USA
  • Volume
    29
  • Issue
    6
  • fYear
    2012
  • Firstpage
    141
  • Lastpage
    142
  • Abstract
    In this issue, “Best of the Web” presents the modified National Institute of Standards and Technology (MNIST) resources, consisting of a collection of handwritten digit images used extensively in optical character recognition and machine learning research.
  • Keywords
    handwriting recognition; learning (artificial intelligence); optical character recognition; visual databases; Best of the Web; MNIST database; handwritten digit images; machine learning research; modified national institute of standards and technology; optical character recognition; Machine learning;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1053-5888
  • Type

    jour

  • DOI
    10.1109/MSP.2012.2211477
  • Filename
    6296535
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1281591