adde test

tests/test_vanilla_nn.m

@@ -0,0 +1,19 @@
+function test_vanilla_nn
+rng(0);
+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);
+
+nn = nnsetup([784 100 10]);
+
+nn.learningRate = 1;   %  Learning rate
+opts.numepochs =  1;   %  Number of full sweeps through data
+opts.batchsize = 100;  %  Take a mean gradient step over this many samples
+opts.silent = 1;
+nn = nntrain(nn, train_x, train_y, opts);
+
+[er, bad] = nntest(nn, test_x, test_y);
+assert(er < 0.1, 'Too big error');