How to find two layers to replace in googlenet?

Question

hana razak 2018-9-27

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https://ww2.mathworks.cn/matlabcentral/answers/421002-how-to-find-two-layers-to-replace-in-googlenet

回答： venkata sai 2024-7-15，12:15

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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 = 
    3x1 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

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houwang 2018-11-26

Hello, I have the same problem. Have you solved your problem?

mohammed alagele 2023-1-1

hello dear also me the replaceLayer is not work what i do pleas can you help me

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Answer 1

Johannes Bergstrom 2018-11-26

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https://ww2.mathworks.cn/matlabcentral/answers/421002-how-to-find-two-layers-to-replace-in-googlenet#answer_348941

I presume you are looking at this example: https://www.mathworks.com/help/deeplearning/examples/train-deep-learning-network-to-classify-new-images.html

findLayersToReplace is a supporting function/helper function to the example. To access supporting functions of any MATLAB example, open the example by clicking the blue 'Try it in MATLAB' (or similar) button in the top-right of the examples page.

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FEDERICO FURLAN 2019-9-4

Hi Johannes,

Why the softmax layer is not replaced in this example? In other descriptions and examples this layer is always replaced... What is better to do? Thanks

Chinmay Rane 2021-5-5

Hi the softmax layer is just an activation layer. hence it is not needed to be replaced until you plan to use some other activation. The Fully connected and the classification layer needs your total number of classes, hence we need to replace fc layer and final classification layer(this is set to default as it checks for incoming nodes). Hope it helps

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Answer 2

houwang 2018-11-27

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Thank you very much !!! Ihave solved this problems by this function

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marwa za 2020-1-26

编辑：marwa za 2020-1-26

hi, please how did you solve your problem ?

Tahmina Sumi 2020-1-30

@houwang i'm facing the same problem...how did u solve it??

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Answer 3

DEEPA 2023-4-16

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TASK

Replace the last fully connected layer of the network with the new layer you just created. The layer that you need to replace is named "loss3-classifier".

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Answer 4

Bhagyashri 2023-5-21

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Replace the last fully connected layer of the network with the new layer you just created. The layer that you need to replace is named "loss3-classifier".

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Answer 5

Vedantika 2023-7-14

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TASK

Replace the last fully connected layer of the network with the new layer you just created. The layer that you need to replace is named "loss3-classifier".

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Answer 6

venkata sai 2024-7-15，12:15

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https://ww2.mathworks.cn/matlabcentral/answers/421002-how-to-find-two-layers-to-replace-in-googlenet#answer_1485483

Replace the last fully connected layer of the network with the new layer you just created. The layer that you need to replace is called "loss3-classifier".