%%?驗證碼識別主函數?CNN訓練
%?author:
%
%
%%?初始化
close?all;clear;clc;


%%?1:訓練測試樣本的讀取
load?‘train.mat‘;
trainLabelVector?=?zeros（36?17892）;
for?i??=?1:length（trainLabel）
????trainLabelVector（:i）?=?LabelToVector（trainLabel（i））;
end

load?test.mat;
testLabelVector?=?zeros（36?1200）;
for?i?=?1?:?length（testLabel）
????testLabelVector（:i）?=?LabelToVector（testLabel（i））;
end
%%?2:CNN訓練

%?工具包路徑添加
path（path?‘DeepLearnToolbox-master/CNN/‘）
path（path?‘DeepLearnToolbox-master/util/‘）
train_x?=?double（reshape（trainData24?24?17892））;
test_x?=?double（reshape（testData24?24?1200））;
train_y?=?double（trainLabelVector）;
test_y?=?double（testLabelVector）;

rand（‘state‘0）

cnn.layers?=?{
????struct（‘type‘?‘i‘）?%input?layer
????struct（‘type‘?‘c‘?‘outputmaps‘?6?‘kernelsize‘?5）?%convolution?layer
????struct（‘type‘?‘s‘?‘scale‘?2）?%sub?sampling?layer
????struct（‘type‘?‘c‘?‘outputmaps‘?12?‘kernelsize‘?5）?%convolution?layer
????struct（‘type‘?‘s‘?‘scale‘?2）?%subsampling?layer
};


opts.alpha?=?2;
opts.batchsize?=?6;
%opts.batchsize?=?size（train_x?3）;?
opts.numepochs?=?10;

cnn?=?cnnsetup（cnn?train_x?train_y）;
cnn?=?cnntrain（cnn?train_x?train_y?opts）;
%%?3:對測試數據進行預測

[er?bad]?=?cnntest（cnn?train_x?train_y）

%plot?mean?squared?erro?=???//
figure;?plot（cnn.rL）;
%assert（er<0.12?‘Too?big?error‘）;

save?cnn_file_10?cnn;

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????目錄???????????0??2018-11-03?22:16??CNN字母識別\
?????目錄???????????0??2018-11-03?22:16??CNN字母識別\test\
?????文件????????9910??2017-03-10?15:45??CNN字母識別\test\0026.bmp
?????文件????????9910??2017-03-10?15:45??CNN字母識別\test\00CB.bmp
?????文件????????9910??2017-03-10?15:45??CNN字母識別\test\00KZ.bmp
?????文件????????9910??2017-03-10?15:47??CNN字母識別\test\02H3.bmp
?????文件????????9910??2017-03-10?15:45??CNN字母識別\test\0386.bmp
?????文件????????9910??2017-03-10?15:46??CNN字母識別\test\04L8.bmp
?????文件????????9910??2017-03-10?15:45??CNN字母識別\test\0599.bmp
?????文件????????9910??2017-03-10?15:46??CNN字母識別\test\05H7.bmp
?????文件????????9910??2017-03-10?15:45??CNN字母識別\test\0604.bmp
?????文件????????9910??2017-03-10?15:45??CNN字母識別\test\06U8.bmp
?????文件????????9910??2017-03-10?15:46??CNN字母識別\test\07ML.bmp
?????文件????????9910??2017-03-10?15:47??CNN字母識別\test\0846.bmp
?????文件????????9910??2017-03-10?15:46??CNN字母識別\test\08Y6.bmp
?????文件????????9910??2017-03-10?15:45??CNN字母識別\test\09E1.bmp
?????文件????????9910??2017-03-10?15:46??CNN字母識別\test\0A20.bmp
?????文件????????9910??2017-03-10?15:46??CNN字母識別\test\0E41.bmp
?????文件????????9910??2017-03-10?15:46??CNN字母識別\test\0L1P.bmp
?????文件????????9910??2017-03-10?15:45??CNN字母識別\test\0S29.bmp
?????文件????????9910??2017-03-10?15:45??CNN字母識別\test\0X7D.bmp
?????文件????????9910??2017-03-10?15:45??CNN字母識別\test\10W6.bmp
?????文件????????9910??2017-03-10?15:45??CNN字母識別\test\1179.bmp
?????文件????????9910??2017-03-10?15:46??CNN字母識別\test\118S.bmp
?????文件????????9910??2017-03-10?15:45??CNN字母識別\test\11K0.bmp
?????文件????????9910??2017-03-10?15:45??CNN字母識別\test\1359.bmp
?????文件????????9910??2017-03-10?15:46??CNN字母識別\test\140X.bmp
?????文件????????9910??2017-03-10?15:46??CNN字母識別\test\1E80.bmp
?????文件????????9910??2017-03-10?15:45??CNN字母識別\test\1OAK.bmp
?????文件????????9910??2017-03-10?15:47??CNN字母識別\test\1Q76.bmp
?????文件????????9910??2017-03-10?15:46??CNN字母識別\test\1RRX.bmp
............此處省略3674個文件信息