Hello there.... This is my code...
[imdsTrain,imdsValidation] = splitEachLabel(imds,0.8,'randomize');
I'm training the same dataset on three different architecture, I don't want the dataset to split different data randomly for each network. I want the same split dataset for all the network so that i can compare the results.
I want the same randomly splited data for all the network.
However, how do i use the residual 20% for the evaluation of my model obtained from the training dataset.