Beantwortet
Custom loss function (based on error multiplication rather than sum) in classification neural network
Using trainnet you can provide any loss function you wish. However, a multiplicative loss function sounds like a doubtful idea. ...
Custom loss function (based on error multiplication rather than sum) in classification neural network
Using trainnet you can provide any loss function you wish. However, a multiplicative loss function sounds like a doubtful idea. ...
etwa ein Jahr vor | 0
| akzeptiert
Beantwortet
Vectorizing 2D DFT for only select region of the output
Ex=subDFTmatrix(kx_vals,Nx); Ey=subDFTmatrix(ky_vals,Ny); F_partial = Ey*image*Ex.'; function E=subDFTmatrix(k,N) E...
Vectorizing 2D DFT for only select region of the output
Ex=subDFTmatrix(kx_vals,Nx); Ey=subDFTmatrix(ky_vals,Ny); F_partial = Ey*image*Ex.'; function E=subDFTmatrix(k,N) E...
etwa ein Jahr vor | 0
| akzeptiert
Gesendet
N-dimensional sparse arrays
Creates an N-dimensional sparse array object, for arbitrary N.
etwa ein Jahr vor | 10 Downloads |
Beantwortet
Where I make a mistake with fminimax?
Some ideas, The choice of initial guess p0=[1,1,1,1,1] looks arbitrary. I don't see why that would be a good guess. You should...
Where I make a mistake with fminimax?
Some ideas, The choice of initial guess p0=[1,1,1,1,1] looks arbitrary. I don't see why that would be a good guess. You should...
etwa ein Jahr vor | 1
| akzeptiert
Beantwortet
How to get a dlgradient result for a blackbox function
radon() can be expressed as a matrix multiplication, and matrix multiplications are of course supported by dlarrays. One option ...
How to get a dlgradient result for a blackbox function
radon() can be expressed as a matrix multiplication, and matrix multiplications are of course supported by dlarrays. One option ...
etwa ein Jahr vor | 1
| akzeptiert
Beantwortet
Does gather() clear memory
It seems to for me: >> A=gpuArray.rand(300,300,300); >> gpuDevice().AvailableMemory ans = 3.1956e+09 >> A=gather...
Does gather() clear memory
It seems to for me: >> A=gpuArray.rand(300,300,300); >> gpuDevice().AvailableMemory ans = 3.1956e+09 >> A=gather...
etwa ein Jahr vor | 0
Beantwortet
How to use validation dataset in iteration-based deep network training?
Sure, use the network to make some predictions, https://www.mathworks.com/help/deeplearning/ref/dlnetwork.predict.html
How to use validation dataset in iteration-based deep network training?
Sure, use the network to make some predictions, https://www.mathworks.com/help/deeplearning/ref/dlnetwork.predict.html
etwa ein Jahr vor | 0
Beantwortet
What are the differences between fitrnet and trainnet?
Unlike fitnrnet, the L-BFGS algorithm used by trainnet does not seem to use a line search. That might have had something to do w...
What are the differences between fitrnet and trainnet?
Unlike fitnrnet, the L-BFGS algorithm used by trainnet does not seem to use a line search. That might have had something to do w...
etwa ein Jahr vor | 0
Beantwortet
A simple question regarding image processing
I see that some pixels are darker than others, but no pixels that are jet black. If you have some criterion to decide which pixe...
A simple question regarding image processing
I see that some pixels are darker than others, but no pixels that are jet black. If you have some criterion to decide which pixe...
etwa ein Jahr vor | 0
| akzeptiert
Beantwortet
define an objective function with user defined number of variables in fminunc()
The only way fminunc knows the number of variables is by looking at numel(x0) where x0 is the initial guess: xmin = fminunc(fun...
define an objective function with user defined number of variables in fminunc()
The only way fminunc knows the number of variables is by looking at numel(x0) where x0 is the initial guess: xmin = fminunc(fun...
etwa ein Jahr vor | 2
| akzeptiert
Beantwortet
Deconvolution of two different Gaussians
If you know a priori that all the signals are Gaussians, then deconvolution would not be the best way to recover espread. You kn...
Deconvolution of two different Gaussians
If you know a priori that all the signals are Gaussians, then deconvolution would not be the best way to recover espread. You kn...
etwa ein Jahr vor | 0
| akzeptiert
Beantwortet
Displaying a struct containing gpuArray fields takes an extremely long time in R2024b
Here's a possible workaround: c.a=1; c.b=2; c.data=gpuArray.rand(100,100,100,'double'); tic; c, toc c = struct with...
Displaying a struct containing gpuArray fields takes an extremely long time in R2024b
Here's a possible workaround: c.a=1; c.b=2; c.data=gpuArray.rand(100,100,100,'double'); tic; c, toc c = struct with...
etwa ein Jahr vor | 0
Beantwortet
Finding a circle in a 2D array
load P BW=median(P(:))-P>50; BW=bwpropfilt(bwareaopen(BW,100),'Eccentricity',6,'small'); c=vertcat(regionprops(BW,'Cent...
Finding a circle in a 2D array
load P BW=median(P(:))-P>50; BW=bwpropfilt(bwareaopen(BW,100),'Eccentricity',6,'small'); c=vertcat(regionprops(BW,'Cent...
etwa ein Jahr vor | 1
| akzeptiert
Beantwortet
imerode/imdilate use convolution?
No, imdilate is a sliding window max() operation, which is nonlinear, and therefore not, in general, a convolution. Similarly im...
imerode/imdilate use convolution?
No, imdilate is a sliding window max() operation, which is nonlinear, and therefore not, in general, a convolution. Similarly im...
etwa ein Jahr vor | 0
| akzeptiert
Beantwortet
Take 3x3 nearest neighbours round centroids of all spots and find the median of their mean
sz=size(IM); centroidIdx=sub2ind(sz,y1,x1); T=combinations(1:3,1:3); delta=sub2ind(sz,T{:,2},T{:,1})'-(sz(1)+2); resu...
Take 3x3 nearest neighbours round centroids of all spots and find the median of their mean
sz=size(IM); centroidIdx=sub2ind(sz,y1,x1); T=combinations(1:3,1:3); delta=sub2ind(sz,T{:,2},T{:,1})'-(sz(1)+2); resu...
etwa ein Jahr vor | 0
| akzeptiert
Beantwortet
Take 3x3 nearest neighbours round centroids of all spots and find the median of their mean
movingMean=conv2(IM,ones(3)/9,'same'); centroidIdx=sub2ind(size(IM),y1,x1); result=median(movingMean(centroidIdx))
Take 3x3 nearest neighbours round centroids of all spots and find the median of their mean
movingMean=conv2(IM,ones(3)/9,'same'); centroidIdx=sub2ind(size(IM),y1,x1); result=median(movingMean(centroidIdx))
etwa ein Jahr vor | 0
Frage
Displaying a struct containing gpuArray fields takes an extremely long time in R2024b
I find that when I create a struct (or object) whose fields are large gpuArrays, it takes an extremely long time (1-2 minutes) t...
etwa ein Jahr vor | 2 Antworten | 0
2
AntwortenGesendet
gaussfitn
Fit N-dimensional scattered points with Gaussian+constant
etwa ein Jahr vor | 3 Downloads |
Beantwortet
MINLP problem in MATLAB with both integer constraints and nonlinear equality constraints
If, as @Torsten mentioned, you are in the situation where the equality constraints only depend on the continuous variables, then...
MINLP problem in MATLAB with both integer constraints and nonlinear equality constraints
If, as @Torsten mentioned, you are in the situation where the equality constraints only depend on the continuous variables, then...
etwa ein Jahr vor | 0
Beantwortet
how to use fmincon to optimize a functio with more than one control vector where the control vectors used in constrains also?
Use the problem-based optimization framework to launch fmincon. It will look approximately like, p=optimvar('p',pi,pj); X=opti...
how to use fmincon to optimize a functio with more than one control vector where the control vectors used in constrains also?
Use the problem-based optimization framework to launch fmincon. It will look approximately like, p=optimvar('p',pi,pj); X=opti...
etwa ein Jahr vor | 0
| akzeptiert
Beantwortet
Fit a linear equation to obtain coefficients (constants)
I have a linear equation P = a + bM + c(Y-1) + d(M(Y-1)) where a, b, c and d are coefficients (constants). P, Y and M are known...
Fit a linear equation to obtain coefficients (constants)
I have a linear equation P = a + bM + c(Y-1) + d(M(Y-1)) where a, b, c and d are coefficients (constants). P, Y and M are known...
etwa ein Jahr vor | 1
Beantwortet
MINLP problem in MATLAB with both integer constraints and nonlinear equality constraints
Such problems usually do not have solutions (EDIT: unless the equalities depend only on the continuous variables), since a nonli...
MINLP problem in MATLAB with both integer constraints and nonlinear equality constraints
Such problems usually do not have solutions (EDIT: unless the equalities depend only on the continuous variables), since a nonli...
etwa ein Jahr vor | 1
| akzeptiert
Beantwortet
parallel computing apply to my problem
Skipping the symbolic operations will speed things up, tic; t=linspace(0,0.1,1000)'; tsquared=t.^2; [a...
parallel computing apply to my problem
Skipping the symbolic operations will speed things up, tic; t=linspace(0,0.1,1000)'; tsquared=t.^2; [a...
etwa ein Jahr vor | 0
Beantwortet
Class Property Validation for the Contents of a Cell Array Property?
You can do it, but you would have to define your own validation function, https://www.mathworks.com/help/matlab/matlab_oop/prop...
Class Property Validation for the Contents of a Cell Array Property?
You can do it, but you would have to define your own validation function, https://www.mathworks.com/help/matlab/matlab_oop/prop...
etwa ein Jahr vor | 2
| akzeptiert
Frage
Loading user-defined classes from .mat files absent the classdef
At one time, if I had a .mat file with a user-defined class variable, but lacked the classdef file, loading the .mat file would ...
etwa ein Jahr vor | 1 Antwort | 0
1
AntwortFrage
Why does .mat file previewer take so long?
I often wish to preview the contents of a .mat file in the Current Folder browser. Some of my .mat files are quite large, which ...
etwa ein Jahr vor | 1 Antwort | 0
1
AntwortFrage
How do I import my MATLAB path preferences when I install MATLAB on new computers?
I have a new computer with Matlab 2024b newly installed on it and am looking to import preference settings (mainly desktop layou...
etwa ein Jahr vor | 1 Antwort | 0
1
AntwortFrage
Command Window prompt stays in view during Run Section
I find, in R2024b (I haven't checked other versions), then when running sub-sections of code, for example with , the command li...
etwa ein Jahr vor | 1 Antwort | 0
1
AntwortBeantwortet
how to fft2 with dlarray?
You haven't explained the difficulty you are experiencing, but I assume it is that an fft(), but not an fft2() command is availa...
how to fft2 with dlarray?
You haven't explained the difficulty you are experiencing, but I assume it is that an fft(), but not an fft2() command is availa...
etwa ein Jahr vor | 0
| akzeptiert
Beantwortet
Iteratively selecting rotation angle for alingment
Use imregtform if you are aligning images. If you are aligning points, use this, https://www.mathworks.com/matlabcentral/fileex...
Iteratively selecting rotation angle for alingment
Use imregtform if you are aligning images. If you are aligning points, use this, https://www.mathworks.com/matlabcentral/fileex...
etwa ein Jahr vor | 0