dbn源代码matlab,深度学习工具箱的DBN代码的例子有问题

从这里找到的，https:// github.co/ rasmusbergpalm/ DeepLearnToolbox

当然，搜索深度学习工具箱也行。

function test_example_DBN

load mnist_uint8;

train_x = double(train_x) / 255;

test_x  = double(test_x)  / 255;

train_y = double(train_y);

test_y  = double(test_y);

%%  ex1 train a 100 hidden unit RBM and visualize its weights

rand('state',0)

dbn.sizes = [100];

opts.numepochs =   1;

opts.batchsize = 100;

opts.momentum  =   0;

opts.alpha     =   1;

dbn = dbnsetup(dbn, train_x, opts);

dbn = dbntrain(dbn, train_x, opts);

figure; visualize(dbn.rbm{1}.W');   %  Visualize the RBM weights

%%  ex2 train a 100-100 hidden unit DBN and use its weights to initialize a NN

rand('state',0)

%train dbn

dbn.sizes = [100 100];

opts.numepochs =   1;

opts.batchsize = 100;

opts.momentum  =   0;

opts.alpha     =   1;

dbn = dbnsetup(dbn, train_x, opts);

dbn = dbntrain(dbn, train_x, opts);

%unfold dbn to nn

nn = dbnunfoldtonn(dbn, 10);

nn.activation_function = 'sigm';

%train nn

opts.numepochs =  1;

opts.batchsize = 100;

nn = nntrain(nn, train_x, train_y, opts);

[er, bad] = nntest(nn, test_x, test_y);

assert(er < 0.10, 'Too big error');

报错是：

epoch 1/1. Average reconstruction error is: 66.2661epoch 1/1. Average reconstruction error is: 66.2661epoch 1/1. Average reconstruction error is: 10.286Attempted to access lmisys(5); index out of bounds because numel(lmisys)=4.

Error in lmiunpck (line 23)  rs=lmisys(4); rv=lmisys(5);  % row sizes of LMISET,LMIVAR

Error in nnsetup (line 26)[LMI_set,LMI_var,LMI_term,data]=lmiunpck(lmisys);

Error in dbnunfoldtonn (line 6)    nn = nnsetup([dbn.sizes outputsize]);

Error in test_DBN (line 32)nn = dbnunfoldtonn(dbn, 10);