The BP neural network algorithm is used to recognize handwritten Arabia digital images, and the error feedback neural network of three layers can output the accuracy rate. The data set is 60000 data, each data is a picture of 28*28

Filename	Size	Update
BP神经网络手写数字识别
BP神经网络手写数字识别\.spyproject
BP神经网络手写数字识别\.spyproject\codestyle.ini	62	2017-10-27
BP神经网络手写数字识别\.spyproject\encoding.ini	64	2017-10-27
BP神经网络手写数字识别\.spyproject\vcs.ini	92	2017-10-27
BP神经网络手写数字识别\.spyproject\workspace.ini	237	2017-10-27
BP神经网络手写数字识别\BPNetwork.py	4857	2017-10-27
BP神经网络手写数字识别\mnist_test.mat	3276274	2015-04-27
BP神经网络手写数字识别\mnist_test_labels.mat	4795	2015-04-27
BP神经网络手写数字识别\mnist_train.mat	19816714	2015-04-27
BP神经网络手写数字识别\mnist_train_labels.mat	30064	2015-04-27
readme.txt	391	2017-10-27

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