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 :
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