Does the input size of sequenceInputLayer have to be set 1?

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The network is as follows:
inputSize = 1;
embeddingDimension = 50;
numHiddenUnits = 80;
numWords = enc.NumWords;
numClasses = numel(categories(YTrain));
layers = [ ...
sequenceInputLayer(inputSize)
wordEmbeddingLayer(embeddingDimension,numWords)
lstmLayer(numHiddenUnits,'OutputMode','last')
fullyConnectedLayer(numClasses)
softmaxLayer
classificationLayer]
I only tried to change inputSize = 2, then the network can not be trained with the error:
Does the input size of sequenceInputLayer have to be set 1?

Answers (1)

Zhiyu WANG
Zhiyu WANG on 25 May 2022
Becasue the input sequence data is a 1 by 10 double.It menas each time you take 1 token out of the sequence.

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