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mnist

于 2020-02-19 发布
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说明:  数据集是MINIST手写数字图像集。MIINST是机器学习领域最有名的数据集之一,被应用于从简单的实验到发表的论文研究等各种场合。该数据集是由0到9的数字图像构成的,训练图像有6万张,测试图像有1万张,这些图像可以用于学习和推理。(The MNIST database of handwritten digits, available from this page, has a training set of 60,000 examples, and a test set of 10,000 examples. It is a subset of a larger set available from NIST. The digits have been size-normalized and centered in a fixed-size image. It is a good database for people who want to try learning techniques and pattern recognition methods on real-world data while spending minimal efforts on preprocessing and formatting.)

文件列表:

mnist.py, 3512 , 2018-06-26

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