Why wrong using of RESHAPE when I do trainNetwork in LSTM?

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I 've written python LSTM. However in the MATLAB I cannot realize it by using deep learning toolbox(deep network designer).
I have X_train(606300*4) Y_train(6063), which means every 100 time point with 4 features in the history matches a status Y.
Since LSTM can only input sequence not matix, I input 4 features individually.
I am not sure if data can be batched like python, so I choose batch_size as 100 and reshape my X_train to 100*4*6063 so the feature_u is 100*1*6063.
But when I trainNetwork there always exists RESHAPE error(wrong use in RESHAPE, if you want to RESHAPE, please do NOT modify the number of elements).
How should I fix this and train my model like python(train data with batches)?1570816010(1).jpg

Answers (1)

Jalaj Gambhir
Jalaj Gambhir on 16 Oct 2019
Edited: Jalaj Gambhir on 16 Oct 2019
Hi,
You might want to convert your data to dlarray, and use dlarray batches for training LSTM's as mentioned here.
The number of elements in reshaped array and original array should remain same, hence the error with reshape in your case.
  4 Comments
Param Raval
Param Raval on 9 Nov 2019
No, I haven't. Which package is it? I already have the DL Toolbox.

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