文件名称:BP_mnist
介绍说明－－下载内容均来自于网络，请自行研究使用
BP网络实现手写字体识别。压缩文件包含mnist数据集，直接在pycharm运行BPNetwork.py文件，输出测试集识别结果和测试精度。(Handwritten recognition based on BP network. The compressed file contains the MNIST data set, runs the BPNetwork.py file directly in the pycharm, outputs the test set, identifies the results, and tests the accuracy.)
(系统自动生成,下载前可以参看下载内容)
下载文件列表
.idea
.idea\.name
.idea\BPNetwork.iml
.idea\encodings.xml
.idea\misc.xml
.idea\modules.xml
.idea\scopes
.idea\scopes\scope_settings.xml
.idea\vcs.xml
.idea\workspace.xml
__pycache__
__pycache__\get_test_num.cpython-35.pyc
__pycache__\input_data.cpython-35.pyc
__pycache__\mnist_demo.cpython-35.pyc
BPNetwork.py
get_test_num.py
mnist_test.mat
mnist_test_labels.mat
mnist_train.mat
mnist_train_labels.mat
MyNetWork
readme.txt
test_num
test_num\107.png
test_num\157.png
test_num\185.png
test_num\186.png
test_num\187.png
test_num\197.png
test_num\229.png
test_num\49.png
test_num\84.png
test_num\90.png
.idea\.name
.idea\BPNetwork.iml
.idea\encodings.xml
.idea\misc.xml
.idea\modules.xml
.idea\scopes
.idea\scopes\scope_settings.xml
.idea\vcs.xml
.idea\workspace.xml
__pycache__
__pycache__\get_test_num.cpython-35.pyc
__pycache__\input_data.cpython-35.pyc
__pycache__\mnist_demo.cpython-35.pyc
BPNetwork.py
get_test_num.py
mnist_test.mat
mnist_test_labels.mat
mnist_train.mat
mnist_train_labels.mat
MyNetWork
readme.txt
test_num
test_num\107.png
test_num\157.png
test_num\185.png
test_num\186.png
test_num\187.png
test_num\197.png
test_num\229.png
test_num\49.png
test_num\84.png
test_num\90.png