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Why does trainNetwork return an error? - Error using trainNetwork (line 184) Layers argument must be an array of layers or a layer graph.

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Drew Ellington
Drew Ellington 2022-2-6
Why does trainNetwork not recognise my layers?
I've tried copy-pasting prebuilt layers from a .mlx tutorial but i'm receiving the same error regardless, even when I turn it into an lgraph,
can anyone explain why this error is occuring...here is my full code,
thanks,
%[xTrain, yTrain, xValidation, yValidation, augTrain, augValid] = trainingDataGetter(1);
load("augTrain.mat");
load("augValid.mat");
load("yTrain.mat");
load("yValid.mat");
layers = [...
imageInputLayer([24 24 3])
convolution3dLayer([12 12 3],8,'Padding',1)
fullyConnectedLayer(1)
regressionLayer
]
lgraph = layerGraph(layers);
miniBatchSize = 128;
validationFrequency = floor(numel(augTrain.Files)/miniBatchSize);
options = trainingOptions('sgdm', ...
'MiniBatchSize',miniBatchSize, ...
'MaxEpochs',30, ...
'InitialLearnRate',1e-3, ...
'LearnRateSchedule','piecewise', ...
'LearnRateDropFactor',0.1, ...
'LearnRateDropPeriod',20, ...
'Shuffle','every-epoch', ...
'ValidationData',{augValid,yValidation}, ...
'ValidationFrequency',validationFrequency, ...
'Plots','training-progress', ...
'Verbose',false);
net = trainNetwork(augTrain,yTrain,layers,options);

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