yimyom commented on issue #5326: Train-accuracy=0.00
URL:
https://github.com/apache/incubator-mxnet/issues/5326#issuecomment-338124609
I'm building an autoencoder. I found my bug in fact. I was using an
"accuracy" loss function instead of a "mse" (or "mae" or "rmse"). For those
making the same mistake as me, "accuracy" is used to test for classification
and you want the output of the network to be exactly the label of your classe.
Obviously in a regression problem, the result will never be exactly the same as
the observed value. So you want to use mse (or rmse or mae) instead because
they compute a squared-error (root squared-error, absolute error).
@edmBernard : thanks for the advice. I will indeed add a phase of
layer-wise pretraining. It seems it will improve the model by a lot.
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