function?ubm?=?checkrbmtrain（train_algoubmdatamaxepocheta）
step?=?32;
r?=?inf;%無窮大

batchsize?=?50;

N=size（data1）;%返回data的行數
numhid?=?size（ubm.w2）;%返回ubm.w的列數
numbatches=?floor（N/batchsize）;%N/batchsize取整后的最小整數

p?=?randperm（numbatches*batchsize）;%1~numbatches*batchsize所有的整數隨機打亂
data?=?data（p:）;

data?=?mat2cell（dataones（1numbatches）*batchsize）;%data進行矩陣分解，分解成numbatches個1*50的子矩陣
%?groups=?repmat（1:numbatches?1?batchsize）;
%?groups=?groups（1:N）;
%?perm=randperm（N）;
%?groups?=?groups（perm）;
%?batchdata?=?zeros（numbatchesbatchsizesize（data2））;
%?for?i=1:numbatches
%?????fprintf（‘\rsplit?batch?%d/%d‘inumbatches）;
%?????batchdata（i::）=?data（groups==i:）;
%?end
%?batchdata?=?mat2cell（batchdataones（1numbatches））;
%?fprintf（‘\r‘）;

%?N=size（data1）;
%?numhid?=?size（ubm.w2）;
%?numbatches=?ceil（N/batchsize）;
%?batchdata?=?cell（numbatches1）;
%?groups=?repmat（1:numbatches?1?batchsize）;
%?groups=?groups（1:N）;
%?perm=randperm（N）;
%?groups?=?groups（perm）;
%?batchdata?=?zeros（numbatchesbatchsizesize（data2））;
%?for?i=1:numbatches
%?????fprintf（‘\rsplit?batch?%d/%d‘inumbatches）;
%?????batchdata（i::）=?data（groups==i:）;
%?end
%?batchdata?=?mat2cell（batchdataones（1numbatches））;
%?fprintf（‘\r‘）;

while?1
????fprintf（‘learning?rate?=?%f\n‘eta）;
????[ubm1r1]?=?train_algo（ubmdatamaxepocheta）;
????if?r1>=r
????????%?if?step?>?1
????????%?????step?=?step/2;
????????%?else
????????????eta?=?eta/2;
????????%?end
????????if?eta?<=?0.0001
????????????break;
????????end
????else
????????disp（inputname（2））;
????????save（inputname（2）‘ubm‘）;
????????ubm?=?ubm1;
????end
????r?=?r1;
end

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????目錄???????????0??2020-02-09?18:19??DBN預測\
?????文件????????1726??2018-12-14?09:37??DBN預測\checkrbmtrain.m
?????文件????????2645??2020-01-02?15:25??DBN預測\dbn_single.m
?????文件?????????572??2019-01-14?16:24??DBN預測\dbnsetup.m
?????文件?????????355??2019-01-14?17:21??DBN預測\dbntrain.m
?????文件?????????510??2019-01-07?17:22??DBN預測\dbnunfoldtonn.m
?????文件?????????628??2015-12-01?18:29??DBN預測\nnapplygrads.m
?????文件????????1638??2015-12-01?18:29??DBN預測\nnbp.m
?????文件?????????704??2015-12-01?18:29??DBN預測\nnchecknumgrad.m
?????文件?????????811??2015-12-01?18:29??DBN預測\nneval.m
?????文件????????1885??2019-12-19?16:18??DBN預測\nnff.m
?????文件?????????195??2019-12-18?20:36??DBN預測\nnpredict.m
?????文件????????1846??2019-01-07?21:52??DBN預測\nnsetup.m
?????文件?????????183??2019-12-19?16:25??DBN預測\nntest.m
?????文件????????2600??2019-01-15?20:01??DBN預測\nntrain.m
?????文件????????1858??2015-12-01?18:29??DBN預測\nnupdatefigures.m
?????文件?????????244??2019-12-23?15:35??DBN預測\nomean.m
?????文件?????????685??2018-11-22?15:55??DBN預測\normalization.m
?????文件??????????90??2015-12-01?18:29??DBN預測\rbmdown.m
?????文件????????1945??2019-03-26?16:11??DBN預測\rbmtrain.m
?????文件??????????89??2015-12-01?18:29??DBN預測\rbmup.m
?????文件??????????48??2015-12-01?18:29??DBN預測\sigm.m
?????文件?????????126??2015-12-01?18:29??DBN預測\sigmrnd.m
?????文件??????????54??2018-04-22?19:09??DBN預測\tanh_opt.m
?????文件????????8493??2019-03-21?17:03??DBN預測\test-distance.m