Keras LSTM Binary Classification Output
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.
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?