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Is there any difference between 1.7 version of NN lib and the current one?
Can you please explain how to map the output layer of autoencoder to lables? You mentioned that common practice is to extend the autoencoder with another fully connected layer (which matches the number of units with input layer). That means we know the output layer neuron values. How to tanslate them to labels?
I am trying the 1.7ver library with some other data sets related to spam detection. But the accuracies are lower than what I get from NB or linear-svm lib logic regression. The training error itself I am getting is around 26%.
The text was updated successfully, but these errors were encountered:
Hi Ivan,
The text was updated successfully, but these errors were encountered: