binarized_mnist

• Description:

A specific binarization of the MNIST images originally used in (Salakhutdinov & Murray, 2008). This dataset is frequently used to evaluate generative models of images, so labels are not provided.

• Additional Documentation: Explore on Papers With Code north_east

• Homepage: http://www.dmi.usherb.ca/~larocheh/mlpython/_modules/datasets/binarized_mnist.html

• Source code: tfds.datasets.binarized_mnist.Builder

• Versions:

  • 1.0.0 (default): Initial Release

• Download size: 104.68 MiB

• Dataset size: 11.68 MiB

• Auto-cached (documentation): Yes

• Splits:

• Feature structure:

FeaturesDict({
    'image': Image(shape=(28, 28, 1), dtype=uint8),
})

• Feature documentation:

• Supervised keys (See as_supervised doc): None

• Figure (tfds.show_examples):

• Examples (tfds.as_dataframe):

• Citation:

@inproceedings{salakhutdinov2008quantitative,
title={On the quantitative analysis of deep belief networks},
author={Salakhutdinov, Ruslan and Murray, Iain},
booktitle={Proceedings of the 25th international conference on Machine learning},
pages={872--879},
year={2008},
organization={ACM}
}