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Question
How to create a initialize function for a custom layer where the learnable parameters have same size of input?
I want to form a initialize function inside a custom layer where the learnable parameters have same size as the unknown input si...
2 months ago | 1 answer | 0
1
answertrainnet gives training loss is NaN
Hi @Al, Have you utilized any custom layer in your network? May be the learnable parameters of the layer not intialized properl...
2 months ago | 0
Question
How to divide image datastore into training set, validation set and test set for training a CNN network with k-fold cross validation?
I have a image datastore: filefolder=fullfile("D:\folder"); Images = imageDatastore(filefolder,... 'IncludeSubfolders',tr...
2 months ago | 2 answers | 0
2
answersQuestion
Error: "Incorrect type of 'Z' for 'predict' in Layer 'samplelayer'. Expected 'gpuArray', but instead was 'single'." This error is shown during using a custom deep layer.
I have created a custom deep learning layer for my network for image classification. While using that layer with cpu the network...
3 months ago | 1 answer | 0
1
answerQuestion
Why my deep learning network is producing NaN outputs?
I have a deep CNN network with 39 layers. While training the network is producing NaN output so the loss function is also produc...
5 months ago | 1 answer | 0
1
answerQuestion
Can we use 'sequenceInputLayer(inputSize)' with 'featureInputLayer' in multiple input deep convolutional neural network?
I am using a network with multiple input CNN network, where one is sequence input and second one is feature input. The combined ...
5 months ago | 1 answer | 0
1
answerQuestion
How to assign labels to a dataset using 'signalDatastore' object?
I have a dataset in a folder for classification purpose using crossentropy as loss function in deep learning. I need to add labe...
5 months ago | 1 answer | 0
1
answerQuestion
How to extract the individual segments from overlapped segments in a 1-D signal?
I have a deep learning architecture, where I want to create input using a 1-D ECG signal by spliting the signal into segments, w...
5 months ago | 1 answer | 0
1
answerQuestion
Is it possible to assign variables in the workspace to other variables using for loop?
I have variables like a_1_1, a_1_2, a_1_3, a_2_1, a_2_2, etc...... in the workspace. I want to assign these variables to another...
6 months ago | 2 answers | 0
2
answersQuestion
How to do cross validation for a minibatch queue?
In https://in.mathworks.com/help/signal/ug/signal-source-separation-using-w-net-architecture.html 9 subjects are used for trai...
11 months ago | 1 answer | 0
1
answerQuestion
"The value of 'Layer' is invalid. Layers that require formatted dlarray inputs are not supported." - Why is this error shown when checked the validity of a custom layer?
I be created a customized layer based on attention mechanism for deep learning application using https://in.mathworks.com/help/d...
11 months ago | 1 answer | 0
1
answerQuestion
How can we compute batch matrix-matrix product of matrices (3-D tensors) in MATLAB?
I have two 3-D tensors of size b*n*m and b*m*p. I need the product of these two tensors to get the output size as b*n*p. I have ...
12 months ago | 1 answer | 0
1
answerQuestion
Is there any layer defined in matlab for sine activation function? Or else can we define the layer using functionLayer?
How we can use a layer with sine activation function? Is it possible to use the functionLayer to define a sine activation functi...
12 months ago | 1 answer | 0
1
answerQuestion
How to retrain a deep neural network with another dataset which is already trained using a particular dataset?
I have designed a deep neural network and trained it using dataset-1. I have saved the network as my best model. Now I want to r...
12 months ago | 1 answer | 0
1
answerQuestion
Can we plot the output of in-between layers in deep neural network?
I have a deep neural network having 297 layers. I want to visualize the output of some of the layers that are in-between this ne...
1 year ago | 1 answer | 0
1
answerQuestion
Is there any layer like additionLayer that can give multiple outputs?
Do we have any layer like additionLayer that have mulptiple outputs. In additionLayer the number of output is read-only and by d...
1 year ago | 1 answer | 0
1
answerQuestion
Why in the code given below the number of iterations of the second - for loop ('j') decreases at each iteration of first - for loop ('l')?
for l=1:N-1 disp(['l: ',num2str(l)]) for j=1:N-l disp(['j: ',num2str(j)]) length = l...
1 year ago | 1 answer | 0
1
answerQuestion
How can we plot different signals S1 S2 and S3 on same y-axis with different values? I have attached a figure for reference.
S1, S2 and S3 indicated in yellow color represent different signals.
2 years ago | 1 answer | 0
1
answerQuestion
How to find the histogram of each row vector from 8-by-10000 matrix?
I have a matrix 8-by-10000, and want to find the histogram of each row matrix (1-by-10000). I have used tis code: K=8 for h=1:...
2 years ago | 1 answer | 0
1
answerQuestion
How can we threshold a signal in both positive and negative sides?
I have a signal with values in both positive and negative sides. I want to threshold in both sides. I have used this code: thre...
2 years ago | 1 answer | 0
1
answerQuestion
'mle' - can we use this command for maximizing log-likelihood estimation of a vector input, which is normally distributed?
I have a vector of particular length, normally (Gaussian) distributed, for which I want to maximize log-likelihood estimation. I...
2 years ago | 1 answer | 0
1
answerQuestion
As a part of my work I need the Maximum Likelihood Estimate that maximizes the log-likelihood of a vector. Can I use the in-built function 'mle' for this purpose?
In my work I have a vector of particular length 'L'. I want to maximize the log-likelihood estimate of the vector using maximum ...
2 years ago | 1 answer | 0
1
answerQuestion
"TS.Global" I got this as a part of a matlab code. Can anyone help to understand what does mean? I have seen this dot operator as a part of structure; is this mean the same?
If any documentation regarding this; kindly share.....
2 years ago | 2 answers | 0
2
answersQuestion
How thresholding is done after the decomposition of a signal using discrete wavelet transform?
I have a signal which is the combination of two signals, one of which is relevant to me. I have decomposed the signal into diffe...
2 years ago | 1 answer | 0
1
answerQuestion
How to expand the time width of small part of a signal with the total time width of the signal be same?
Here I have the signal as shown above, but I need to expand the time width of the signal in the portions that is marked in red...
2 years ago | 1 answer | 0
1
answerQuestion
How can I create a pulse train which is not periodic? A sample program has been attached.
The matlab code shown below is for generating the pulse signal. However, when I try to plot 'b_n' the output I got is only first...
2 years ago | 1 answer | 0
1
answerQuestion
How to create a rectangular pulse train of amplitude '1' with user-defined time period?
Hai, I am actually working on the processing of Electrocardiogram (ECG) signal. I need to detect the R-peaks from the processed ...
2 years ago | 1 answer | 0
1
answerQuestion
How to identify the time indices of a signal where the maximum value of the signal have been marked?
Actually, I have Abdominal Electrocardiogram signal, where I found some relevant peaks. How to identify the positions of that re...
2 years ago | 0 answers | 0
0
answersQuestion
How to mark the peaks of a signal based on some threshold value?
Actually I am tring to mark the peaks of an abdominal electrocardiogram signal based on threshold value. If the signal value is ...
2 years ago | 1 answer | 0
1
answerQuestion
Can we extract MECG from AECG using adaptive comb filter using the matlab function for comb filter?
What will be the frequency that can be used in comb filter to extract MECG from AECG? Thanking you in advance....
2 years ago | 1 answer | 0