Error using trainNetwork (line 184) Invalid training data. Predictors must be in a N-by-1 cell array of sequences, where N is the number of sequences.

I tried to make a sequential classifier using using a LSTM but I got an error saying:

"Error using trainNetwork (line 184) Invalid training data. Predictors must be in a N-by-1 cell array of sequences, where N is the number of sequences. All sequences must have the same feature dimension and at least one time step."

below I included the code and images.

load Data1
load Data2
load Data1_ds1
load Data2_ds1

XTrain = {Data1;Data2;Data1_ds1;Data2_ds1}

XValidation = {Data1_ds1;Data2_ds1}
TTrain = [1;1;2;2]

TTrain = categorical(TTrain)
TValidation = [1;2]
TValidation = categorical(TValidation) 
XTrain(1:2)

classes = categories(TTrain)
numClasses = numel(classes)
%numClasses = 23


filterSize = 3;
numFilters = 32;

numFeatures = 2;

layers = [ ...
    sequenceInputLayer(numFeatures)
    bilstmLayer(100,'OutputMode','sequence')
    fullyConnectedLayer(2)
    softmaxLayer
    classificationLayer
    ]


miniBatchSize = 27;

% options = trainingOptions("adam", ...
%     MiniBatchSize=miniBatchSize, ...
%     MaxEpochs=10, ...
%     SequencePaddingDirection="left", ...
%     ValidationData={XValidation,TValidation}, ...
%     Plots="training-progress", ...
%     Verbose=0);

options = trainingOptions('adam', ...
    'MaxEpochs',10, ...
    'MiniBatchSize', miniBatchSize, ...
    'InitialLearnRate', 0.01, ...
    'SequenceLength', 100, ...
    'GradientThreshold', 1, ...
    'ExecutionEnvironment',"auto",...
    'plots','training-progress', ...
    'Verbose',false);

net = trainNetwork(XTrain,TTrain,layers,options);

Answer 1

[yanqi liu]

yes，sir，may be modify

XTrain = {Data1;Data2;Data1_ds1;Data2_ds1}

XValidation = {Data1_ds1;Data2_ds1}

to

XTrain = [Data1;Data2;Data1_ds1;Data2_ds1]

XValidation = [Data1_ds1;Data2_ds1]