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MNIST Dataset

The MNIST dataset (Lecun et al., 1998), which consists of 60,000 gray-scale images of handwritten digits. Each image has an accompanying label in {0, 1,..., 9}, and is stored as a 28 × 28 matrix that takes on values in [0, 255]. We first divide the entries of all the images by 255. Next, since there is no variation in the peripheral pixels of the images (Gallaugher & McNicholas, 2018), which violates model (1), we add an independent perturbation N (0, 0.01) to each element of the image. Finally, we vectorize each image to obtain a vector xi ∈ R784.

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Cite this as

Yann LeCun, L´eon Bottou, Yoshua Bengio, Patrick Haffner (2024). Dataset: MNIST Dataset. https://doi.org/10.57702/6w0eiklj

DOI retrieved: November 25, 2024

Additional Info

Field Value
Created November 25, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.1504.06787
Citation
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Author Yann LeCun
More Authors
L´eon Bottou
Yoshua Bengio
Patrick Haffner
Homepage http://yann.lecun.com/exdb/mnist/