Subsampled MNIST database of handwritten digits. This smaller dataset has 3000 samples for each
of the digits corresponding to the class labels 0,1,2,3. Each 28x28 image patch is stored as a flattened row vector.
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner.
"Gradient-based learning applied to document recognition."
Proceedings of the IEEE, 86(11):2278-2324, November 1998.
# NOT RUN {library('rsvd')
data('digits')
#Display first digitdigit <- matrix(digits[1,], nrow = 28, ncol = 28)
image(digit[,28:1], col = gray(255:0 / 255))
# }# NOT RUN {# }