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superseded= {},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
   0.000458
Lookup hash in DB
   0.000418
Get torrent details
   0.000930
Get torrent details, finished
   0.000262
Get authors
   0.000019
Parse bibtex
   0.000058
Write header
   0.000205
get stars
   0.000120
home tab
   0.000202
render right panel
   0.000009
render ads
   0.000444
fetch current hosters
   0.001745
Done