Hi Matlab staff
For the current example https://www.mathworks.com/help/deeplearning/examples/time-series-forecasting-using-deep-learning.html
In this example, the sequencelength is by default longest. Does that mean that the sequencelength is 500 (I dont think it is! as this would make the algorithm much more computational extensive). Does that mean sequencelength is 1 then? It is unclear how the data is fed into the model. Further, a single batch is used (I assume! because changing minibatch size does not change the algorithm). Could you elaborate on the sequencelength and batchsize in this particular example ?.
I think this is very important for LSTM in Matlab community that there is full understanding of how the LSTM in Matlab is designed.
Cheers, MB
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