Master commit of OpenFace.

matlab_version/face_validation/DeepLearnToolbox/tests/test_example_CNN.m

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+%function test_example_CNN
+load mnist_uint8;
+
+train_x = double(reshape(train_x',28,28,60000))/255;
+test_x = double(reshape(test_x',28,28,10000))/255;
+train_y = double(train_y');
+test_y = double(test_y');
+
+%% ex1 Train a 6c-2s-12c-2s Convolutional neural network 
+%will run 1 epoch in about 200 second and get around 11% error. 
+%With 100 epochs you'll get around 1.2% error
+
+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 = 1;
+opts.batchsize = 50;
+opts.numepochs = 5;
+
+cnn = cnnsetup(cnn, train_x, train_y);
+cnn = cnntrain(cnn, train_x, train_y, opts);
+
+[er, bad] = cnntest(cnn, test_x, test_y);
+
+%plot mean squared error
+figure; plot(cnn.rL);
+assert(er<0.12, 'Too big error');