using LSTM nets for classification with multiple outputs
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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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답변 (1개)
Shreeya
2023년 12월 12일
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:
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