Hi, I want to train a recurrent neural network with multiple time series. More specifically, I have M time series trajectories with a varying number of time steps in each trajectory. The documentation for layrecnet() only has examples for a single trajectory, M=1. In the examples, each column of the cell array represents a single time step and each row is a feature or an element. How should I structure the data to account for multiple trajectories? Or should I just retrain the NN for each trajectory in an online learning fashion?
Thanks,
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