Error using trainNetwork. Invalid network.

Question

Tan 2023-5-14

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1962759-error-using-trainnetwork-invalid-network

评论： Tan 2023-5-20

net = googlenet('Weights','none');
lys = net.Layers;
lys(end-3:end)
numClasses = numel(categories(imdsTrain.Labels));
lgraph = layerGraph(lys);
%Replace the classification layers for new task
newFCLayer = fullyConnectedLayer(3,'Name','new_fc','WeightLearnRateFactor',10,'BiasLearnRateFactor',10);
lgraph = replaceLayer(lgraph,'loss3-classifier',newFCLayer);
newClassLayer = classificationLayer('Name','new_classoutput');
lgraph = replaceLayer(lgraph,'output',newClassLayer);
analyzeNetwork(lgraph)
%Resize the image
imageSize=net.Layers(1).InputSize;
augmentedTrainingSet=augmentedImageDatastore(imageSize,...
    imdsTrain,'ColorPreprocessing','gray2rgb');
augmentedValidateSet=augmentedImageDatastore(imageSize,...
    imdsValidation,'ColorPreprocessing','gray2rgb');
options = trainingOptions('sgdm', ...
    'MiniBatchSize',4, ...
    'MaxEpochs',8, ...
    'InitialLearnRate',1e-4, ...
    'Shuffle','every-epoch', ...
    'ValidationData',augmentedValidateSet, ...
    'ValidationFrequency',3, ...
    'Verbose',false, ...
    'ExecutionEnvironment','cpu', ...
    'Plots','training-progress');
trainedNet = trainNetwork(augmentedTrainingSet,lgraph,options);

ERROR:

Error using trainNetwork

Invalid network.

Caused by:

Layer 'inception_3a-output': Unconnected input. Each layer input must be connected to the output of another

layer.

Layer 'inception_3b-output': Unconnected input. Each layer input must be connected to the output of another

layer.

Layer 'inception_4a-output': Unconnected input. Each layer input must be connected to the output of another

layer.

Layer 'inception_4b-output': Unconnected input. Each layer input must be connected to the output of another

layer.

Layer 'inception_4c-output': Unconnected input. Each layer input must be connected to the output of another

layer.

Layer 'inception_4d-output': Unconnected input. Each layer input must be connected to the output of another

layer.

Layer 'inception_4e-output': Unconnected input. Each layer input must be connected to the output of another

layer.

Layer 'inception_5a-output': Unconnected input. Each layer input must be connected to the output of another

layer.

Layer 'inception_5b-output': Unconnected input. Each layer input must be connected to the output of another

layer.

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Answer 1

Sugandhi 2023-5-14

0
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1962759-error-using-trainnetwork-invalid-network#answer_1234509

在 MATLAB Online 中打开

Hi Tan,

I understand that you are facing error using trainNetwork.

The error message indicates that there are unconnected inputs in the network. Specifically, the error message indicates that the input layers of some of the intermediate layers in the network graph are not connected to any output layers. This can commonly occur if you remove layers from the network and do not update the graph accordingly.

To fix the error, you should check the layer graph for any unconnected layers. You can do this using the `analyzeNetwork` function:

analyzeNetwork(lgraph)

This function will display a graph of the layers in your network and highlight any unconnected nodes.

You can then use the `connectLayers` function to connect the unconnected layers to the output of the preceding layers. For example, to connect the `inception_3a-output` layer to the `inception_3a/5x5_reduce` layer, you can use the following code:

lgraph = connectLayers(lgraph,'inception_3a/output','inception_3a/5x5_reduce');

Repeat this step for any other unconnected layers in the network. After you have connected all the layers, you can try training the network again.

Note that if you have removed or modified any layers in the original network, you may need to make additional modifications to the layer graph to ensure that the network is properly connected.