Invalid training data. Sequence responses must have the same sequence length as the corresponding predictors

I have written a DNN model to train my dataset, however, im not too sure what to put for the inputsize. My training data and validation data is shown in the screenshot below. I got the error message when i put 112000 for inputsize of the DNN model. could someone advice me what the inputsize should be?

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clear variables;
close all;

% Load training data and essential parameters
load('trainData.mat','XTraindata','YTraindata','XValidatedata','YValidatedata');

numSC = 64;

% Batch size
miniBatchSize = 4000;

% Iteration
maxEpochs = 10;

% Sturcture
inputSize = 112000;
numHiddenUnits = 128; 
numHiddenUnits2 = 64;
numHiddenUnits3 = numSC;
numClasses = 16;

% DNN Layers
layers = [ ...
    sequenceInputLayer(inputSize,'Name','sequence')
    fullyConnectedLayer(numHiddenUnits,'Name','fc1')
    reluLayer('Name','relu1')
    fullyConnectedLayer(numHiddenUnits2,'Name','fc2')
    reluLayer('Name','relu2')
    fullyConnectedLayer(numClasses,'Name','fc3')
    softmaxLayer('Name','sm')
    classificationLayer('Name','class')];

% Training options
options = trainingOptions('adam',...
    'InitialLearnRate',0.01,...
    'ExecutionEnvironment','auto', ...
    'ValidationData',{XValidatedata,YValidatedata},...
    'GradientThreshold',1, ...
    'LearnRateDropFactor',0.1,...
    'MaxEpochs',maxEpochs, ...
    'MiniBatchSize',miniBatchSize, ...
    'Shuffle','every-epoch', ...
    'Verbose',1,...
    'Plots','training-progress'); 

% Train the neural network
tic;
net = trainNetwork(XTraindata,YTraindata,layers,options);
toc;

save('NN.mat','net');

Answer 1

[Sindhu Karri]

Hii,

The input value to the 'sequenceInputLayer' should match 'numFeatures' in 'XTrain' data.

Change the code from:

sequenceInputLayer(112000,'Name','sequence')

to:

sequenceInputLayer(384,'Name','sequence')

will resolve the issue.

Refer to below attached link

https://www.mathworks.com/help/deeplearning/ref/nnet.cnn.layer.sequenceinputlayer.html