using LSTM nets for classification with multiple outputs

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Giuseppe Menga 2023-12-11

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https://ww2.mathworks.cn/matlabcentral/answers/2058999-using-lstm-nets-for-classification-with-multiple-outputs

评论： Giuseppe Menga 2023-12-12

I'm using LSTM nets for classification.

I would like to have 3 outputs of 3 values (-1 0 +1)

Apparently the Matlab framework for that nets accepts only one output. In this case it should have 27 values (3^3), but it adds complications.

Any suggestion?

Giuseppe Menga

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Answer 1

Shreeya 2023-12-12

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https://ww2.mathworks.cn/matlabcentral/answers/2058999-using-lstm-nets-for-classification-with-multiple-outputs#answer_1369699

To build an LSTM based neural netowkr with three prediction classes, create a layer array containing a sequence input layer, an LSTM layer, a fully connected layer, a softmax layer, and a classification output layer. Further, set the size of the sequence input layer to the number of features of the input data and the size of the fully connected layer to the number of prediction classes classes.

Refer to the link below for more details:

https://www.mathworks.com/help/deeplearning/ug/long-short-term-memory-networks.html#mw_9cf7b3dc-bc5e-40f2-a20a-82bdd6df1b03