Hello,

I’m trying the deep learning using googlenet and I don’t know how to solve the ‘findLayersToReplace’.

I tried this code but it give 3 layers instead of 2 layers that need to find.

layers = net.Layers(end-2:end);

layers =

3×1 Layer array with layers:

1 ‘loss3-classifier’ Fully Connected 1000 fully connected layer
2 ‘prob’ Softmax softmax
3 ‘output’ Classification Output crossentropyex with ‘tench’ and 999 other classes

I don’t need to replace Softmax layer.

Please help me creating the function of findLayersToReplace.

Thank you very much

Hana RazakHello,

I’m trying the deep learning using googlenet and I don’t know how to solve the ‘findLayersToReplace’.

I tried this code but it give 3 layers instead of 2 layers that need to find.

layers = net.Layers(end-2:end);

layers =

3×1 Layer array with layers:

1 ‘loss3-classifier’ Fully Connected 1000 fully connected layer
2 ‘prob’ Softmax softmax
3 ‘output’ Classification Output crossentropyex with ‘tench’ and 999 other classes

I don’t need to replace Softmax layer.

Please help me creating the function of findLayersToReplace.

Thank you very much

Hana Razak Hello,

I’m trying the deep learning using googlenet and I don’t know how to solve the ‘findLayersToReplace’.

I tried this code but it give 3 layers instead of 2 layers that need to find.

layers = net.Layers(end-2:end);

layers =

3×1 Layer array with layers:

1 ‘loss3-classifier’ Fully Connected 1000 fully connected layer
2 ‘prob’ Softmax softmax
3 ‘output’ Classification Output crossentropyex with ‘tench’ and 999 other classes

I don’t need to replace Softmax layer.

Please help me creating the function of findLayersToReplace.

Thank you very much

Hana Razak deep-learning, googlenet, layers MATLAB Answers — New Questions

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