一个手撸的最简dnn 模型，用的 numpy，数据集是 mnist 能够训练和推断手写数字，训练10万次以后，准确率大约能到95%左右
- 数据集的url 在 ./csv 目录下的 dataset-url.txt，可自行下载
- mnist_show.py 可以可视化显示数据信息
- 核心代码在 np_dnn.py 中
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a mini dnn sample for mnist numerical recognition dataset by numpy
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