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It seems that when the number iteration increases, and the learning rate and neighbourhood of influence is decaying, there is a chance that this decays to a point where NaNs are produced.
This obviously cases all weights to be come NaNs as well.
The text was updated successfully, but these errors were encountered:
It seems that when the number iteration increases, and the learning rate and neighbourhood of influence is decaying, there is a chance that this decays to a point where NaNs are produced.
This obviously cases all weights to be come NaNs as well.
The text was updated successfully, but these errors were encountered: