error "Error using nnet.internal.cnn.layer.util.inferParameters>iInferSize (line 86) The output of layer 13 is incompatible with the input expected by layer 14."

Question

Salma Hassan 2018-1-7

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/375994-error-error-using-nnet-internal-cnn-layer-util-inferparameters-iinfersize-line-86-the-output

编辑： Johannes Bergstrom 2018-5-31

where is the error in this code ..i only use googlenet as deep tuning without change any thing in it's Layers except the last 3 layers . i changed the size of my images to be similar of googlenet (224 224) so what wrong

net=googlenet;

TransfereLayers= net.Layers(2:end-3);

%% my layers Layers =[...

imageInputLayer([224 224 3],'Name','input')

TransfereLayers

fullyConnectedLayer(2,'Name',fc)

softmaxLayer

classificationLayer('Name','coutput')];

%% define the weights and biase

Layers(142).Weights = randn([2 1024]) * 0.001;

Layers(142).Bias = randn([2 1])*0.001 + 1;

%% options opts=trainingOptions('sgdm','Initiallearnrate',0.0001,'maxEpoch',maxEpochs ,..... 'Minibatchsize',miniBatchSize ,... 'Plots','training-progress',.... 'LearnRateSchedule', 'piecewise', ... 'LearnRateDropFactor', 0.1, ... 'LearnRateDropPeriod', 1, ... 'ValidationData',valDigitData,'ValidationFrequency',50 );

[mynet, traininfo] = trainNetwork(trainingimages,Layers,opts);