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October 19, 2012IEEE Signal Processing Magazine4,849 citations

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

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LDLi Deng

Key Points

  • The aim is to present a comprehensive resource for handwriting recognition research using the MNIST dataset.
  • Modification of the MNIST database resources.
  • Collection of handwritten digit images for character recognition.
  • Extensive usage in various machine learning models.
  • The MNIST database serves as a benchmark for evaluating optical character recognition algorithms.
  • It is widely adopted in machine learning research due to its publicly available nature.

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.

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Cite This Study

Li Deng (2012) studied this question.

synapsesocial.com/papers/69baf3fc4389860bb478d596https://doi.org/10.1109/msp.2012.2211477
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