Error using nnet.cnn.L​ayerGraph>​iValidateL​ayerName (line 654) Layer 'Classific​ationLayer​_predictio​ns' does not exist. Error in nnet.cnn.L​ayerGraph/​replaceLay​er (line 397)

12 次查看（过去 30 天）
TAN HOR YAN
TAN HOR YAN 2021-12-15
评论： TAN HOR YAN 2021-12-16
clc
clear all
outputFolder=fullfile('recycle101');
rootFolder=fullfile(outputFolder,'recycle');
categories={'Aluminium Can','PET Bottles','Drink Carton Box'};
imds=imageDatastore(fullfile(rootFolder,categories),'LabelSource','foldernames');
tbl=countEachLabel(imds)
minSetCount=min(tbl{:,2});
[imdsTrain,imdsValidation] = splitEachLabel(imds,0.7,'randomized');
countEachLabel(imds);
%randomly choose file for aluminium can, PET bottles, and drink carton box
AluminiumCan=find(imds.Labels=='Aluminium Can',1);
PETBottles=find(imds.Labels=='PET Bottles',1);
DrinkCartonBox=find(imds.Labels=='Drink Carton Box',1);
%plot image that was pick randomly
figure
subplot(2,2,1);
imshow(readimage(imds,AluminiumCan));
subplot(2,2,2);
imshow(readimage(imds,PETBottles));
subplot(2,2,3);
imshow(readimage(imds,DrinkCartonBox));
%Load pre-trained network
net = resnet50;
analyzeNetwork(net)
numClasses = numel(categories(imdsTrain.Labels));
lgraph = layerGraph(net);
%Replace the classification layers for new task
newFCLayer = fullyConnectedLayer(3,'Name','new_fc','WeightLearnRateFactor',10,'BiasLearnRateFactor',10);
lgraph = replaceLayer(lgraph,'fc1000',newFCLayer);
newClassLayer = classificationLayer('Name','new_classoutput');
lgraph = replaceLayer(lgraph,'ClassificationLayer_predictions',newClassLayer);

请先登录，再回答此问题。

采纳的回答

yanqi liu
yanqi liu 2021-12-15
may be use
lgraph = replaceLayer(lgraph,'ClassificationLayer_fc1000',newClassLayer);
  6 个评论
显示 4更早的评论

请先登录，再进行评论。

更多回答（0 个）

类别

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

标签

产品


版本

R2020b

Community Treasure Hunt

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

Start Hunting!

Translated by