I'm wondering what happens if I have more input steps of a sequence than hidden units of LSTM blocks.
For example below: What happens if I have 5 timeseries inputs but my network has only 2 hidenn LSTM blocks. How can the system learn?
Is it just feeding inside the first two timeseries inputs? What happens with the last three?
layers = [ ...
Can someone help?