How to create a LSTM model for multivariate time dependent time series

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I want to forecast a time series using two dependent time series. How can I do this task with Matlab Deep Learning Toolbox? I used the following architecture:
Sequence Input Layer(2) LSTM Layer(100) Fully Connected Layer(1) Regression Layer
I shifted my training output by one time step and standardized the data. When I run my code I get the following error:
Invalid training data. For cell array input, responses must be a an N-by-1 array of sequences, where N is the number of sequences. …

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Venu
Venu 2024-1-11

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R2023a

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