I'm currently trying to understand the difference between a vanilla LSTM and a fully connected LSTM. In a paper I'm reading, the FC-LSTM gets introduced as
FC-LSTM may be seen as a multivariate version of LSTM where the input, cell output and states are all 1D vectors
But is not really expanded further upon. Google also didn't help me much in that regard as I can't seem to find anything under that keyword.
What is the difference between the two? Also, I'm a bit confused by the quote - aren't inputs, outputs, etc. of a vanilla LSTM already 1D vectors?