Hi all. I have a problem using trainNetwork for a seq-to-seq regression problem. The error it gives is "Sequence responses must have the same sequence length as the corresponding predictors". I have used a sliding window to take 5 previous timesteps (with multiple features concatenated into a cell) and predict a single feature 2 timesteps into the future. It works when I try to predict 5 timesteps into the future but won't work if the Y_Train cell has comma separated row vectors with any other number of entries within the cell. Is there some way to use the LSTM layers to do this type of forecasting? I hope the pictures of the data helps .