46 lines
1.6 KiB
Plaintext
46 lines
1.6 KiB
Plaintext
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Metadata-Version: 2.1
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Name: mnist
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Version: 0.2.2
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Summary: Python utilities to download and parse the MNIST dataset
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Home-page: https://github.com/datapythonista/mnist
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Author: Marc Garcia
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Author-email: garcia.marc@gmail.com
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License: BSD
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Platform: UNKNOWN
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Classifier: Development Status :: 4 - Beta
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Classifier: Environment :: Console
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Classifier: Operating System :: OS Independent
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Classifier: Intended Audience :: Science/Research
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Classifier: Programming Language :: Python :: 2
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Classifier: Programming Language :: Python :: 2.7
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Classifier: Programming Language :: Python :: 3
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Classifier: Programming Language :: Python :: 3.5
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Classifier: Programming Language :: Python :: 3.6
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Classifier: Programming Language :: Python :: 3.7
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Classifier: Topic :: Scientific/Engineering
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Requires-Dist: numpy
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Requires-Dist: mock; python_version=="2.7"
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The MNIST database is available at http://yann.lecun.com/exdb/mnist/
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The MNIST database is a dataset of handwritten digits. It has 60,000
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training samples, and 10,000 test samples. Each image is represented
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by 28x28 pixels, each containing a value 0 - 255 with its grayscale value.
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It is a subset of a larger set available from NIST. The digits have been
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size-normalized and centered in a fixed-size image.
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It is a good database for people who want to try learning techniques and
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pattern recognition methods on real-world data while spending minimal
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efforts on preprocessing and formatting.
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There are four files available, which contain separately train and test,
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and images and labels.
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Thanks to Yann LeCun, Corinna Cortes, Christopher J.C. Burges.
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mnist makes it easier to download and parse MNIST files.
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