Hello everyone. I try to run deep neural network for digit classification and i got this error;Undefined function or variable 'trainAutoencoder'. Where we can get the trainAutoencoder function?here is the code.

% Load the training data into memory [xTrainImages, tTrain] = digittrain_dataset;

% Display some of the training images clf for i = 1:20 subplot(4,5,i); imshow(xTrainImages{i}); end

rng('default') hiddenSize1 = 100;

autoenc1 = trainAutoencoder(xTrainImages,hiddenSize1, ... 'MaxEpochs',400, ... 'L2WeightRegularization',0.004, ... 'SparsityRegularization',4, ... 'SparsityProportion',0.15, ... 'ScaleData', false);

view(autoenc1)

plotWeights(autoenc1);

feat1 = encode(autoenc1,xTrainImages);

hiddenSize2 = 50; autoenc2 = trainAutoencoder(feat1,hiddenSize2, ... 'MaxEpochs',100, ... 'L2WeightRegularization',0.002, ... 'SparsityRegularization',4, ... 'SparsityProportion',0.1, ... 'ScaleData', false);

view(autoenc2)

feat2 = encode(autoenc2,feat1);

softnet = trainSoftmaxLayer(feat2,tTrain,'MaxEpochs',400);

view(softnet)

view(autoenc1) view(autoenc2) view(softnet)

deepnet = stack(autoenc1,autoenc2,softnet);

view(deepnet)

% Get the number of pixels in each image imageWidth = 28; imageHeight = 28; inputSize = imageWidth*imageHeight;

% Load the test images [xTestImages, tTest] = digittest_dataset;

% Turn the test images into vectors and put them in a matrix xTest = zeros(inputSize,numel(xTestImages)); for i = 1:numel(xTestImages) xTest(:,i) = xTestImages{i}(:); end

y = deepnet(xTest); plotconfusion(tTest,y);

Answer 1

[Walter Roberson]

http://www.mathworks.com/help/nnet/ref/trainautoencoder.html

Neural Network toolbox R2015b or newer