October 19, 2012

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

Key Points

Key points are not available for this paper at this time.

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.

Bookmark

Cite This Study

Li Deng (Fri,) studied this question.

synapsesocial.com/papers/69baf3fc4389860bb478d596 https://doi.org/https://doi.org/10.1109/msp.2012.2211477

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Gradient-based learning applied to document recognition1998 · 58,065 citations
2Convolutional Neural Network Committees for Handwritten Character Classification2011 · 540 citations
3Flexible, high performance convolutional neural networks for image classification2011 · 1,208 citations
4Scalable stacking and learning for building deep architectures2012 · 213 citations
5Best practices for convolutional neural networks applied to visual document analysis2005 · 2,813 citations

Bookmark