Using word embedding layer and convolutional layer

Hello everyone. I'm new to use MATLAB. i had to implement a neural network described in keras in MATLAB for a project. I have to use various layer such as wordembedding layer and convolutional layer. i don't understand if the wordembedding layer of matlab equals the embedding layer of keras. As input i have sequence of 200 amino acids. Using deep network designer I built this net but it keep giving me error in the convolutional layer because there is a mismatch.

lgraph = layerGraph();

tempLayers = [

sequenceInputLayer(1,"Name","sequence")

wordEmbeddingLayer(128,3,"Name","word-embedding")

sequenceFoldingLayer("Name","seqfold")];

reluLayer

lgraph = addLayers(lgraph,tempLayers);

tempLayers = [

convolution2dLayer([1 16],64,"Name","conv","BiasInitializer","narrow-normal","Padding","same","Stride",1)

batchNormalizationLayer("Name","batchnorm")

reluLayer("Name","relu")

maxPooling2dLayer([5 1],"Name","maxpool","Padding","same")

];

lgraph = addLayers(lgraph,tempLayers);

tempLayers = [

sequenceUnfoldingLayer("Name","sequnfold")

flattenLayer("Name","flatten")

lstmLayer(100,"Name","lstm","OutputMode","last")

dropoutLayer(0.1,"Name","dropout")

%fullyConnectedLayer(numClasses)

sigmoidLayer("Name","sigmoid")

softmaxLayer("Name","softmax")

classificationLayer("Name","classoutput")];

lgraph = addLayers(lgraph,tempLayers);

lgraph = connectLayers(lgraph,"seqfold/out","conv");

lgraph = connectLayers(lgraph,"seqfold/miniBatchSize","sequnfold/miniBatchSize");

lgraph = connectLayers(lgraph,"maxpool","sequnfold/in");

[Anshika Chaurasia]

Hi

Can you share the Keras model which you are trying to implement in MATLAB?