Could anyone help me how to train the neural network model for regression, clustering using the inputs and targets as specified.

my inputs = 15×1 cell array

{2×1 double}

{2×1 double}

{2×1 double}

{2×1 double}

{2×1 double}

{2×2 double}

{2×2 double}

{2×2 double}

{2×2 double}

{2×2 double}

{2×3 double}

{2×3 double}

{2×3 double}

{2×3 double}

{2×3 double}

my targets =

1 0 0

1 0 0

1 0 0

1 0 0

1 0 0

1 1 0

1 2 0

2 1 0

2 1 0

1 2 0

1 2 2

2 1 1

1 3 2

1 1 2

2 2 1

I tried with the follwoing code

load inputs

load targets

inputSize = 2;

numHiddenUnits = 100;

numClasses = 3;

layers = [ ...

sequenceInputLayer(inputSize)

fullyConnectedLayer(3)

reluLayer

regressionLayer]

maxEpochs = 70;

miniBatchSize = 27;

options = trainingOptions('adam', ...

'ExecutionEnvironment','cpu', ...

'MaxEpochs',maxEpochs, ...

'MiniBatchSize',miniBatchSize, ...

'GradientThreshold',1, ...

'Verbose',false, ...

'Plots','training-progress');

net = trainNetwork(inputs,targets,layers,options);

But it results in error .

Could anyone please help me to overcome it.