卷积神经网络错误

Question

我有下面的代码，其中输入是91×33矩阵，输出是91×1向量。

    output1=categorical(output)
    trInput=input(1:78,:);
    trInput=trInput';
    teInput=input(79:end,:);
    teInput=teInput';
    trOutput=output1(1:78);
    trOutput=trOutput';
    teOutput=output1(79:end);
    teOutput=teOutput';


    layers = [ ...
    imageInputLayer([33 1  1 ])
    convolution2dLayer(1,33,'NumChannels',1 )
    reluLayer
    maxPooling2dLayer(1)
    fullyConnectedLayer(5)
    softmaxLayer
    classificaationLayer()] 
    opts = trainingOptions('sgdm','MaxEpochs',2, ...
    'InitialLearnRate',0.001);

    net = trainNetwork(trInput,trOutput,layers,opts);

    YPred = classify(net,teInput);

我收到以下错误：

The training images are the wrong size for this network.

反复试验无法给我任何结果。我该怎么办？