I am doing binary classification for a time series with keras LSTM. How could I extract the final output from the model? By this I mean, how can I get a list containing zero and one values from the final model?
You should attach right after a LSTM
layer a Dense
layer with as much neurons as you consider (that depends upon the LSTM
output itself), and on top of that one add a final Dense
classification layer with a single neuron, that'd be the binary output.
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