How to replace imageInputLayer with sequenceInputLayer

Hi, I've imported a pre-trained network from tensorflow keras on MATLAB using importKerasLayers (importKerasNetwork didn't work as I've got 3 inputs). This network is made for sequence to sequence time series regression, hence I need a sequenceInputLayer in front of the network, however when I import the network an imageInputLayer is put in front of the network. Of course that layer is unsuitable for my use case, hence I tried replacing the imageInputLayer with a sequenceInputLayer but the error below is shown. The name of the imageInputLayer is 'lstm_10_input'. Error using nnet.internal.cnn.util.validateLayersForLayerGraph>iAssertUniqueAndNonEmptyLayerNames (line 45) Layer names in layer array must be nonempty. Error in nnet.internal.cnn.util.validateLayersForLayerGraph (line 33) iAssertUniqueAndNonEmptyLayerNames(larray, existingLayers); Error in nnet.cnn.LayerGraph>iValidateLayers (line 556) larray = nnet.internal.cnn.util.validateLayersForLayerGraph(larray, existingLayers); Error in nnet.cnn.LayerGraph/replaceLayer (line 420) larray = iValidateLayers(larray, existingLayers); Error in keras_import (line 8) lgraph = replaceLayer(lgraph,'lstm_10_input',inputLayer);   My code is as follows:   net = importKerasLayers('model.h5', 'ImportWeights', true); lgraph = layerGraph(net); inputLayer = sequenceInputLayer(3); lgraph = replaceLayer(lgraph,'lstm_10_input',inputLayer); %This is where the error occurs