I'm using MATLAB R2019b, and deep learning toolbox.
I wanna see sigmoid value of outputs from discriminator, but it vary with the number of inputs in dlarray.
For example,
I assigned input data X (size 1024,1,1,3) to dlX which is dlarray(X, 'SSCB')
--- dlX=dlarray(X,'SSCB');
so prediction can be extracted by calling function dlYPred=forward(dlnetDiscriminator, dlX), and out=sigmoid(dlYPred)
--- dlYPred=forward(dlnetDiscriminator, dlX);
--- out=sigmoid(dlYPred);
I got output from this process. -> (0.1, 0.3, 0.5)
But if i assign input data X (size 1024,1,1,5) that includes previous three data, results is changed.
like (0.2 0.4 0.7 0.3 0.1) although first three output should not be changed.
I wanna get data like (0.1 0.3 0.5 0.2 0.02)
How can i solve it?
