NoYeah asked . 2023-03-23

Unrecognized function or variable 'invertResidualLayer'

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.

code generation , structures , deep learning , machine learning , neural network