Salma Hassan
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Awarded to Salma Hassan on 15 Feb 2022
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Awarded to Salma Hassan on 30 Jul 2018
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Feeds
Pregunta
how to prepare images dataset for autoencoder
I used this link to train 20000 2D images with size 256x256. first I have to prepare the dataset to feed it into autoencoder fuc...
más de 4 años hace | 0 respuestas | 0
0
respuestasPregunta
problem with ResNet pre-trained network for classification
I used ResNet (Matlab 2019a) for training the dataset and i saved each checkpoints during the training. I am trying to use thes...
más de 4 años hace | 0 respuestas | 0
0
respuestasPregunta
change size and format of images
I have a medical images dataset with various sizes and formats . I want to downsample all of them into 256*256 without loosing i...
más de 4 años hace | 1 respuesta | 0
1
respuestaPregunta
gathering two cells in confusion matrix
If I have a 4*4 confusion matrix array [1 1 3 2; 1 0 2 1 ; 7 4 3 1; 5 6 3 7]. how can I combining both 2*2 regions are next to ...
más de 4 años hace | 1 respuesta | 0
1
respuestaHow to select the components that show the most variance in PCA
i still not understand i need an answer for my question------> how many eigenvector i have to use? from these figures
alrededor de 5 años hace | 0
Pregunta
How to Plot the ROC curve for the average of 10 fold cross validation using Matlab
i used 10 fold cross validation for training the convolution nural network, that each layer was trained 10 times. my question is...
más de 5 años hace | 1 respuesta | 0
1
respuestaPregunta
adding decoder layers into architecture of AlexNet
firstly the architecture of AlexNet is not an autoencoder. there is only an encoder but no decoder in AlexNet. So how can i crea...
casi 6 años hace | 0 respuestas | 0
0
respuestasPregunta
how can i change the SegNet architecture to be based on AlexNet not vgg16
casi 6 años hace | 1 respuesta | 0
1
respuestaPregunta
improve the performance of semantic segmentation
i used this options for training SegNet on my own data (medical image) but i got high error and looowww accuracy i reduced the...
casi 6 años hace | 0 respuestas | 0
0
respuestasPregunta
semantic segmentation with different dataset
how can i use the example in this link https://www.mathworks.com/help/vision/examples/semantic-segmentation-using-deep-learning...
casi 6 años hace | 1 respuesta | 0
1
respuestaPregunta
semantic segmentation with deep learning
i have a confused between pixel label and ground truth , are there similar when using for training SegNet code . if not how can...
casi 6 años hace | 1 respuesta | 0
1
respuestaDividing the image into blocks
i=imread('image_1_0.png'); i=imresize(i,[256 256]); a=64; b=64; %window size x=size(i,1)/a; y=size(i,2)/...
alrededor de 6 años hace | 0
Pregunta
divide image into blocks whatever the number of these blocks
i have an image with size 6000*6000 , i want to divide it into blocks the size of each block is 256*256 , what ever the number o...
más de 6 años hace | 1 respuesta | 0
1
respuestaPregunta
visualization the features in each layer for convolution neural network
i used the code in this link to visualize the feature https://www.mathworks.com/help/nnet/examples/visualize-features-of-a-co...
más de 6 años hace | 0 respuestas | 0
0
respuestasPregunta
I want to plot the Roc curve using perfcurve function i have 2 plot which code is right
the code is [Xpr,Ypr,Tpr,AUCpr] = perfcurve(targets,abs(scores(:,1)), 1, 'xCrit', 'reca', 'yCrit', 'fpr'); plot(Xpr,Ypr) ...
más de 6 años hace | 1 respuesta | 0
1
respuestaROC curve AlexNet CNN
sir did you find the solution i have the same problem
casi 7 años hace | 0
How extract Precision, Recall and F-score values from PLOTROC () in Neural Network?
i used your lines in my code but it gives me this graph .... is that ture <</matlabcentral/answers/uploaded_files/102855/ROC...
casi 7 años hace | 0
how to calculate precision and recall in MATLAB?
[Xpr,Ypr,Tpr,AUCpr] =perfcurve(targets, scores, 1, 'xCrit', 'reca', 'yCrit', 'prec'); plot(Xpr,Ypr) xlabel('Recall'); ylab...
casi 7 años hace | 2
How can I extract the values of weights and biases after each training epoch?
this option 'CheckpointPath' in trainoptions function save the parameters value after each epoch
casi 7 años hace | 0
Load one Image and it will Compare with All Images in database Folder and Tell does it match with any image or Not
srcFiles = dir('D:.............\1\*.png'); image_1=length(srcFiles); srcFiles2 = dir('D:\...........\2\*.png'); ima...
casi 7 años hace | 0
how to turn matlab table into appropriate input for neural net package
imds=' D:\ '; imds=imageDatastore(imds,'IncludeSubfolders',true,'FileExtensions','.png','LabelSource','foldernames'); [tra...
casi 7 años hace | 0
Pregunta
how does it possible in convnet, High accuracy in both of validation and test the same has 97% with error loss function 0.01
i really need an experience help . i feel misunderstand about convolution neural network i have a medical image data set and i...
casi 7 años hace | 0 respuestas | 0
0
respuestasPregunta
error "Error using nnet.internal.cnn.layer.util.inferParameters>iInferSize (line 86) The output of layer 13 is incompatible with the input expected by layer 14."
where is the error in this code ..i only use googlenet as deep tuning without change any thing in it's Layers except the last 3 ...
casi 7 años hace | 1 respuesta | 0
1
respuestaPregunta
Why is the learning rate for the bias usually twice as large as the the LR for the weights?
Why is the learning rate for the bias usually twice as large as the the LR for the weights?
casi 7 años hace | 0 respuestas | 0
0
respuestasPregunta
deep learning convnet with matlab
i want to divide the dataset into 3 parts ( training , validation , test ) with matlab is this line true [trainingimages,...
casi 7 años hace | 1 respuesta | 0
1
respuestadeep learning convnet with matlab
ok i found the answer Create three new datastores from the files in imds. The first datastore imds60 contains the first 60% o...
casi 7 años hace | 0
Pregunta
what is causes NaN values in the validation accuracy and loss from traning convolutional neural network and how to avoid it?
I USE this line in matlab code [trainedNet,traininfo] = trainNetwork(trainMatrix,Layers,opts); so the information about vali...
casi 7 años hace | 3 respuestas | 1
3
respuestasHow to avoid NaN in the Mini-batch-loss from traning convolutional neural network?
i have this line in my code [trainedNet,traininfo] = trainNetwork(trainingimages,Layers,opts); when i opened the structure tra...
casi 7 años hace | 0
save image in a folder with original name
https://stackoverflow.com/questions/32430643/saving-with-original-names-in-matlab
casi 7 años hace | 0
How to increase the training and testing accuracy in CNN training?
hi sir did you find any solution for your problem , i have the same on
alrededor de 7 años hace | 0
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