mnist_png.tgz 15.68MB
Type: Dataset
Tags: fastai

Metadata:
@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superseded= {},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}
}

Citation:
LeCun et al., 1.. (2018). MNIST [Data set]. Academic Torrents. https://academictorrents.com/details/4d563087fb327739d7ec9ee9a0d32c4cb8b0355e
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