How to find two layers to replace in googlenet?

12 次查看（过去 30 天）
hana razak
hana razak 2018-9-27
回答： venkata sai 2024-7-15
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
  2 个评论
houwang
houwang 2018-11-26
Hello, I have the same problem. Have you solved your problem?
mohammed alagele
mohammed alagele 2023-1-1
hello dear also me the replaceLayer is not work what i do pleas can you help me

请先登录，再进行评论。

请先登录，再回答此问题。

回答（6 个）

Johannes Bergstrom
Johannes Bergstrom 2018-11-26
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.
  2 个评论
FEDERICO FURLAN
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
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

请先登录，再进行评论。

houwang
houwang 2018-11-27
Thank you very much !!! Ihave solved this problems by this function
  2 个评论
marwa za
marwa za 2020-1-26
编辑：marwa za 2020-1-26
hi, please how did you solve your problem ?
Tahmina Sumi
Tahmina Sumi 2020-1-30
@houwang i'm facing the same problem...how did u solve it??

请先登录，再进行评论。

DEEPA
DEEPA 2023-4-16
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".
Bhagyashri
Bhagyashri 2023-5-21
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".
Vedantika
Vedantika 2023-7-14
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".
venkata sai
venkata sai 2024-7-15
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".

类别

在 Help Center 和 File Exchange 中查找有关 Image Data Workflows 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by