mnist_png.tgz | 15.68MB |
Type: Dataset
Tags: fastai
Bibtex:
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like the original, simply pick a single slice from the channels axis}, keywords= {fastai}, terms= {}, license= {}, superseded= {}, url= {http://yann.lecun.com/exdb/publis/index.html#lecun-98} }
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