Unrecognized function or variable 'invertResidualLayer'

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NoYeah - 2023-03-23T14:55:22+00:00
Question: Unrecognized function or variable 'invertResidualLayer'

I have installed add-on   'Deep Learning Toolbox' and 'Deep Learning Toolbox model for mobilenetv2'   and used the below code   net = mobilenetv2; % Load pretrained MobileNet model numClasses = numel(classNames); layers = [ net.Layers(1:end-3) fullyConnectedLayer(numClasses,'Name','fc') softmaxLayer('Name','softmax') classificationLayer('Name','classoutput')]; options = trainingOptions('adam', ... 'MaxEpochs',10, ... 'MiniBatchSize',32, ... 'ValidationData',imdsValidation, ... 'ValidationFrequency',5, ... 'InitialLearnRate',1e-4, ... 'LearnRateSchedule','piecewise', ... 'LearnRateDropFactor',0.1, ... 'LearnRateDropPeriod',5, ... 'L2Regularization',0.01, ... 'Plots','training-progress'); % Train the network net = trainNetwork(imdsTrain,layers,options); and I got the error message below Error using trainNetwork invalid network. caused by: Layer 'block_11_add' Unconnected input. Each layer input must be connected to the output of another layer. Layer 'block_12_add' Unconnected input. Each layer input must be connected to the output of another layer. Layer 'block_14_add' Unconnected input. Each layer input must be connected to the output of another layer. Layer 'block_15_add' Unconnected input. Each layer input must be connected to the output of another layer. Layer 'block_2_add' Unconnected input. Each layer input must be connected to the output of another layer. Layer 'block_4_add' Unconnected input. Each layer input must be connected to the output of another layer. Layer 'block_5_add' Unconnected input. Each layer input must be connected to the output of another layer. Layer 'block_7_add' Unconnected input. Each layer input must be connected to the output of another layer. Layer 'block_8_add' Unconnected input. Each layer input must be connected to the output of another layer. Layer 'block_9_add' Unconnected input. Each layer input must be connected to the output of another layer. I don`t know why this error happens...   maybe using pretrained model intrigue error depends on the data?

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    • Expert Answer

    Profile picture of John Williams John Williams answered . 2025-11-20

    Hi,
     
    I have struggled with this issue a lot and I know the reason behind it.
     
    The problem is while you are calling 'net.Layers(1:end-3)' it will only have information of layers, not the connections and the problem is occuring in addition layer as it requires 2 inputs but the layer graph is skipping one connection in net.Layer.
     
    I don't have any permenent solution to that but you can try 2 things:
    1. Import the 'net' in the Network Designer Application and export the 'lgraph' after replacing last 3 layers with your desired layer.
    2. You can use 'connectLayer' manually for all the unconnected layers like this,
    lgraph = layerGraph(layers);
    lgraph = connectLayers(lgraph,'input','add/in2');
    but this process will take lot of time.
     
    But by looking at you code I think you can just use the 'replaceLayer' in last layer(to match the number of classes) because mobilenetv2 already have fc and softmax function.


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