How many LSTM blocks are there in bidirectional LSTM layers?

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shweta gupta
shweta gupta 2021-6-9
回答： Shantanu Dixit 2023-6-20
Hi,
How can i relate hidden layers with number of lstm blocks?
inputSize = 17
numHiddenUnits = 50;
numClasses = 2;
maxEpochs = 15;
miniBatchSize = 1;
layers = [ ...
sequenceInputLayer(inputSize)
bilstmLayer(numHiddenUnits,'OutputMode','last')
fullyConnectedLayer(numClasses)
softmaxLayer
classificationLayer]
options = trainingOptions('adam', ...
'ExecutionEnvironment','auto', ...
'GradientThreshold',1, ...
'MaxEpochs',maxEpochs, ...
'MiniBatchSize',miniBatchSize, ...
'SequenceLength','longest', ...
'Shuffle','never', ...
'Verbose',0, ...
'Plots','training-progress');

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回答（1 个）

Shantanu Dixit
Shantanu Dixit 2023-6-20
Hi Shweta,
Assuming that by hidden layers you mean numHiddenUnits, the numHiddenUnits refer to the number of LSTM blocks per direction (same for both LSTM and BiLSTM). So here the number of LSTM blocks are 50 (numHiddenUnits = 50).
Refer the documentation for lstm and bilstm layer:
Long short-term memory (LSTM) layer for recurrent neural network (RNN) - MATLAB - MathWorks India
Bidirectional long short-term memory (BiLSTM) layer for recurrent neural network (RNN) - MATLAB - MathWorks India

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