Error: Invalid network layer does not support sequence input
hi, i am building a CNN training model. however, i got this error that do not know how to solve. i tried to insert a sequence folding layer then i got error again saying that "unconnected input and output". please help me with this % Load training data and essential parameters load('trainData.mat','XTrain','YTrain'); numSC = 64; % Batch size miniBatchSize = 4000; % Iteration maxEpochs = 10; % Sturcture inputSize = [6,64,1]; numHiddenUnits = 128; numHiddenUnits2 = 64; numHiddenUnits3 = numSC; numClasses = 16; % DNN Layers layers = [ ... sequenceInputLayer(inputSize,'Name','sequence') convolution2dLayer(3,32,'Name','conv2') reluLayer('Name','relu') maxPooling2dLayer(2,'Name','maxpool') flattenLayer('Name','flat') lstmLayer(numHiddenUnits,'OutputMode','last','Name','lstm') fullyConnectedLayer(numClasses,'Name','fc') softmaxLayer('Name','sm') classificationLayer('Name','class')]; % Training options options = trainingOptions('adam',... 'InitialLearnRate',0.01,... 'ExecutionEnvironment','auto', ... 'GradientThreshold',1, ... 'LearnRateDropFactor',0.1,... 'MaxEpochs',maxEpochs, ... 'MiniBatchSize',miniBatchSize, ... 'Shuffle','every-epoch', ... 'Verbose',1,... 'Plots','training-progress'); % Train the neural network tic; net = trainNetwork(XTrain,YTrain,layers,options); toc; save('NN.mat','net');
John Williams answered .
2025-11-20
% DNN Layers
layers = [ ...
sequenceInputLayer(inputSize,'Name','sequence')
sequenceFoldingLayer('Name','fold')
convolution2dLayer(3,32,'Name','conv2')
reluLayer('Name','relu')
maxPooling2dLayer(2,'Name','maxpool')
sequenceUnfoldingLayer('Name','unfold')
flattenLayer('Name','flat')
lstmLayer(numHiddenUnits,'OutputMode','last','Name','lstm')
fullyConnectedLayer(numClasses,'Name','fc')
softmaxLayer('Name','sm')
classificationLayer('Name','class')];
lgraph = layerGraph(layers);
lgraph = connectLayers(lgraph,'fold/miniBatchSize','unfold/miniBatchSize');
analyzeNetwork(lgraph)
Function
layer = sequenceInputLayer(inputSize,Name,Value)MinLength, Normalization, Mean, and Name properties using name-value pairs. You can specify multiple name-value pairs. Enclose each property name in single quotes.