%?Version?1.000
%
%?Code?provided?by?Ruslan?Salakhutdinov?and?Geoff?Hinton
%
%?Permission?is?granted?for?anyone?to?copy?use?modify?or?distribute?this
%?program?and?accompanying?programs?and?documents?for?any?purpose?provided
%?this?copyright?notice?is?retained?and?prominently?displayed?along?with
%?a?note?saying?that?the?original?programs?are?available?from?our
%?web?page.
%?The?programs?and?documents?are?distributed?without?any?warranty?express?or
%?implied.??As?the?programs?were?written?for?research?purposes?only?they?have
%?not?been?tested?to?the?degree?that?would?be?advisable?in?any?important
%?application.??All?use?of?these?programs?is?entirely?at?the?user‘s?own?risk.

%?This?program?fine-tunes?an?autoencoder?with?backpropagation.
%?Weights?of?the?autoencoder?are?going?to?be?saved?in?mnist_weights.mat
%?and?trainig?and?test?reconstruction?errors?in?mnist_error.mat
%?You?can?also?set?maxepoch?default?value?is?200?as?in?our?paper.??

maxepoch=200;
fprintf（1‘\nFine-tuning?deep?autoencoder?by?minimizing?cross?entropy?error.?\n‘）;
fprintf（1‘60?batches?of?1000?cases?each.?\n‘）;

load?mnistvh
load?mnisthp
load?mnisthp2
load?mnistpo?

makebatches;
[numcases?numdims?numbatches]=size（batchdata）;
N=numcases;?

%%%%?PREINITIALIZE?WEIGHTS?OF?THE?AUTOENCODER?%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
w1=[vishid;?hidrecbiases];
w2=[hidpen;?penrecbiases];
w3=[hidpen2;?penrecbiases2];
w4=[hidtop;?toprecbiases];
w5=[hidtop‘;?topgenbiases];?
w6=[hidpen2‘;?hidgenbiases2];?
w7=[hidpen‘;?hidgenbiases];?
w8=[vishid‘;?visbiases];

%%%%%%%%%%?END?OF?PREINITIALIZATIO?OF?WEIGHTS??%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

l1=size（w11）-1;
l2=size（w21）-1;
l3=size（w31）-1;
l4=size（w41）-1;
l5=size（w51）-1;
l6=size（w61）-1;
l7=size（w71）-1;
l8=size（w81）-1;
l9=l1;?
test_err=[];
train_err=[];


for?epoch?=?1:maxepoch

%%%%%%%%%%%%%%%%%%%%?COMPUTE?TRAINING?RECONSTRUCTION?ERROR?%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
err=0;?
[numcases?numdims?numbatches]=size（batchdata）;
N=numcases;
?for?batch?=?1:numbatches
??data?=?[batchdata（::batch）];
??data?=?[data?ones（N1）];
??w1probs?=?1./（1?+?exp（-data*w1））;?w1probs?=?[w1probs??ones（N1）];
??w2probs?=?1./（1?+?exp（-w1probs*w2））;?w2probs?=?[w2probs?ones（N1）];
??w3probs?=?1./（1?+?exp（-w2probs*w3））;?w3probs?=?[w3probs??ones（N1）];
??w4probs?=?w3probs*w4;?w4probs?=?[w4probs??ones（N1）];
??w5probs?=?1./（1?+?exp（-w4probs*w5））;?w5probs?=?[w5probs??ones（N1）];
??w6probs?=?1./（1?+?exp（-w5probs*w6））;?w6probs?=?[w6probs??ones（N1）];
??w7probs?=?1./（1?+?exp（-w6probs*w7））;?w7probs?=?[w7probs??ones（N1）];
??dataout?=?1./（1?+?exp（-w7probs*w8））;
??err=?err?+??1/N*sum（sum（?（data（:1:end-1）-dataout）.^2?））;?
??end
?train_err（epoch）=err/numbatches;

%%%%%%%%%%%%%%?END?OF?COMPUTING?TRAINING?RECONSTRUCTION?ERROR?%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

%%%%?DISPLAY?FIGURE?TOP?ROW?REAL?DATA?BOTTOM?ROW?RECONSTRUCTIONS?%%%%%%%%%%%%%%%%%%%%%%%%%
fprintf（1‘Displaying?in?figure?1:?Top?row?-?real?data?Bottom?row?--?reconstructions?\n‘）;
output=[];
?for?i

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----

????.......????????22??2012-06-12?08:49??DeepLearning-master\.gitignore

????.......??????5594??2012-06-12?08:49??DeepLearning-master\backprop.m

????.......??????5474??2012-06-12?08:49??DeepLearning-master\backpropclassify.m

????.......??????1853??2012-06-12?08:49??DeepLearning-master\CG_CLASSIFY.m

????.......??????1136??2012-06-12?08:49??DeepLearning-master\CG_CLASSIFY_INIT.m

????.......??????2727??2012-06-12?08:49??DeepLearning-master\CG_MNIST.m

????.......??????3011??2012-06-12?08:49??DeepLearning-master\converter.m

????.......??????4169??2012-06-12?08:49??DeepLearning-master\makebatches.m

????.......??????8995??2012-06-12?08:49??DeepLearning-master\minimize.m

????.......??????1902??2012-06-12?08:49??DeepLearning-master\mnistclassify.m

????.......??????2199??2012-06-12?08:49??DeepLearning-master\mnistdeepauto.m

????.......??????1084??2012-06-12?08:49??DeepLearning-master\mnistdisp.m

????.......??????3914??2012-06-12?08:49??DeepLearning-master\rbm.m

????.......??????3964??2012-06-12?08:49??DeepLearning-master\rbmhidlinear.m

????.......????????55??2012-06-12?08:49??DeepLearning-master\README.md

????.......??????2934??2012-06-12?08:49??DeepLearning-master\README.txt

????.......????????52??2015-02-11?11:03??neural-networks-and-deep-learning-master\.gitignore

?????文件???????3207??2015-07-21?20:13??neural-networks-and-deep-learning-master\data\1.py

????.......??17051982??2015-02-11?11:03??neural-networks-and-deep-learning-master\data\mnist.pkl.gz

????.......?????29523??2015-02-11?11:03??neural-networks-and-deep-learning-master\fig\backprop_magnitude_nabla.png

????.......??????2790??2015-02-11?11:03??neural-networks-and-deep-learning-master\fig\backprop_magnitude_nabla.py

????.......???5375943??2015-02-11?11:03??neural-networks-and-deep-learning-master\fig\data_1000.json

????.......??????8414??2015-02-11?11:03??neural-networks-and-deep-learning-master\fig\digits.png

????.......??????8218??2015-02-11?11:03??neural-networks-and-deep-learning-master\fig\digits_separate.png

????.......????150522??2015-02-11?11:03??neural-networks-and-deep-learning-master\fig\false_minima.png

????.......??????1066??2015-02-11?11:03??neural-networks-and-deep-learning-master\fig\false_minima.py

?????文件???????3846??2015-07-21?19:35??neural-networks-and-deep-learning-master\fig\generate_gradient.py

?????文件????????270??2015-07-21?19:35??neural-networks-and-deep-learning-master\fig\initial_gradient.json

????.......????190268??2015-02-11?11:03??neural-networks-and-deep-learning-master\fig\misleading_gradient.png

????.......??????1207??2015-02-11?11:03??neural-networks-and-deep-learning-master\fig\misleading_gradient.py

............此處省略102個文件信息