deepmat

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when using adaptive_lrate, it runs the script candidate_lrates where the variable max_iter_up is not defined, so an error occurs

simoneca

There is a small bug

ravisankaradepu

example_mnist_mlp.m

1

After a couple of hours running example_mnist_mlp.m, it outputs: Correctly classified test samples: 980/10000 It simply predicts class 1 for all test samples. I checked it twice and the results...

r3831

in line 45, the code should be subwindow_sum = fspecial('gaussian', C.lcn.neigh);

ntchen