mnistShort017 {curveDepth} | R Documentation |

## A short version of the MNIST data set

### Description

First 100 digits from the MNIST data set belonging to classes
'0', '1', and '7' representable as curves agter skeletonization.

### Usage

```
data("mnistShort017")
```

### Format

A list of three elements '0', '1', and '7', each being an array with
dimensions `(28, 28, 100)`

. Each slice of each of these arrays, in third
dimension, contains a single monochrome digit image represented by a
`28x28`

indicator matrix. See
Lafaye De Micheaux, Mozharovksyi and Vimond (2018) and accompanying codes for
details on preprocessing.

### Author(s)

Yann LeCun (Courant Institute, NYU),
Corinna Cortes (Google Labs, New York),
Christopher J.C. Burges (Microsoft Research, Redmond),

preprocessing performed by
Myriam Vimond (CREST, Ensai, University of Bretagne Loire).

### Source

http://yann.lecun.com/exdb/mnist/

### References

LeCun, Y., Bottou, L.,Bengio, Y., and Haffner, P. (1998).
Gradient-based learning applied to document recognition.
*Proceedings of the IEEE*, 86(11), 2278-2324.

Lafaye De Micheaux, P., Mozharovskyi, P. and Vimond, M. (2018).
Depth for curve data and applications.

[Package

*curveDepth* version 0.1.0.9

Index]