mnist_png.tgz 15.68MB
Type: Dataset
Tags: fastai

Bibtex:
@article{,
title= {MNIST},
author= {LeCun et al., 1998a},
abstract= {Classic dataset of small (28x28) handwritten grayscale digits, developed in the 1990s for testing the most sophisticated models of the day; today, often used as a basic “hello world” for introducing deep learning. This fast.ai datasets version uses a standard PNG format instead of the special binary format of the original, so you can use the regular data pipelines in most libraries; if you want to use just a single input channel like the original, simply pick a single slice from the channels axis},
keywords= {fastai},
terms= {},
license= {},
superseded= {},
url= {http://yann.lecun.com/exdb/publis/index.html#lecun-98}
}


Send Feedback Start
   0.000006
DB Connect
   0.000470
Lookup hash in DB
   0.003992
Get torrent details
   0.002233
Get torrent details, finished
   0.000968
Get authors
   0.000051
Parse bibtex
   0.000457
Write header
   0.000853
get stars
   0.000636
home tab
   0.000673
render right panel
   0.000035
render ads
   0.000090
fetch current hosters
   0.008392
Done